Training in progress, step 332, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +42 -0
- last-checkpoint/trainer_state.json +2357 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: OpenBuddy/openbuddy-llama2-13b-v8.1-fp16
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "OpenBuddy/openbuddy-llama2-13b-v8.1-fp16",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": null,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 8,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"up_proj",
|
| 24 |
+
"o_proj",
|
| 25 |
+
"down_proj",
|
| 26 |
+
"gate_proj",
|
| 27 |
+
"q_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"k_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbe098209d1686cb8fc334b54c24397029c02c12c19bf5529ebe5c0ffeb2de4d
|
| 3 |
+
size 125248064
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:195fc343b97778daec912a96e8e2cd31a10bc9800e86f556c2f62ea6ed949836
|
| 3 |
+
size 64220436
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f27826ade17aebc5a87c4b7484b191bb18255bf804458cb979418d7b11938d1
|
| 3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:edf35abeb4468756dc16f35cb005448f26edd325a42353dc5acb547729bd337c
|
| 3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f440c53d2cc6f14a7ed7124dea5f5a7402fb4fc95bccb5d8be6d0f7e74d327ed
|
| 3 |
+
size 568229
|
last-checkpoint/tokenizer_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": true,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"legacy": true,
|
| 36 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 40 |
+
"unk_token": "<unk>",
|
| 41 |
+
"use_default_system_prompt": false
|
| 42 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,2357 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.2507079478950349,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 332,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0007551444213705871,
|
| 13 |
+
"grad_norm": 0.059659671038389206,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 0.4492,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0015102888427411742,
|
| 20 |
+
"grad_norm": 0.0642104372382164,
|
| 21 |
+
"learning_rate": 4e-05,
|
| 22 |
+
"loss": 0.4602,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0022654332641117614,
|
| 27 |
+
"grad_norm": 0.06154001131653786,
|
| 28 |
+
"learning_rate": 6e-05,
|
| 29 |
+
"loss": 0.488,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0030205776854823484,
|
| 34 |
+
"grad_norm": 0.07486463338136673,
|
| 35 |
+
"learning_rate": 8e-05,
|
| 36 |
+
"loss": 0.5672,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.003775722106852936,
|
| 41 |
+
"grad_norm": 0.08084491640329361,
|
| 42 |
+
"learning_rate": 0.0001,
|
| 43 |
+
"loss": 0.525,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.004530866528223523,
|
| 48 |
+
"grad_norm": 0.09173104912042618,
|
| 49 |
+
"learning_rate": 9.999985839072915e-05,
|
| 50 |
+
"loss": 0.523,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.00528601094959411,
|
| 55 |
+
"grad_norm": 0.10932840406894684,
|
| 56 |
+
"learning_rate": 9.999943356371866e-05,
|
| 57 |
+
"loss": 0.4872,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.006041155370964697,
|
| 62 |
+
"grad_norm": 0.14193305373191833,
|
| 63 |
+
"learning_rate": 9.999872552137497e-05,
|
| 64 |
+
"loss": 0.5677,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.006796299792335284,
|
| 69 |
+
"grad_norm": 0.15595699846744537,
|
| 70 |
+
"learning_rate": 9.999773426770865e-05,
|
| 71 |
+
"loss": 0.6329,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.007551444213705872,
|
| 76 |
+
"grad_norm": 0.157088503241539,
|
| 77 |
+
"learning_rate": 9.999645980833454e-05,
|
| 78 |
+
"loss": 0.5819,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.008306588635076459,
|
| 83 |
+
"grad_norm": 0.12618108093738556,
|
| 84 |
+
"learning_rate": 9.999490215047167e-05,
|
| 85 |
+
"loss": 0.5207,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.009061733056447046,
|
| 90 |
+
"grad_norm": 0.15058279037475586,
|
| 91 |
+
"learning_rate": 9.999306130294317e-05,
|
| 92 |
+
"loss": 0.5821,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.009816877477817633,
|
| 97 |
+
"grad_norm": 0.12929701805114746,
|
| 98 |
+
"learning_rate": 9.99909372761763e-05,
|
| 99 |
+
"loss": 0.5065,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.01057202189918822,
|
| 104 |
+
"grad_norm": 0.12497358024120331,
|
| 105 |
+
"learning_rate": 9.99885300822023e-05,
|
| 106 |
+
"loss": 0.524,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.011327166320558807,
|
| 111 |
+
"grad_norm": 0.12322711199522018,
|
| 112 |
+
"learning_rate": 9.998583973465646e-05,
|
| 113 |
+
"loss": 0.605,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.012082310741929394,
|
| 118 |
+
"grad_norm": 0.11271341890096664,
|
| 119 |
+
"learning_rate": 9.998286624877786e-05,
|
| 120 |
+
"loss": 0.5465,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.01283745516329998,
|
| 125 |
+
"grad_norm": 0.11549581587314606,
|
| 126 |
+
"learning_rate": 9.997960964140947e-05,
|
| 127 |
+
"loss": 0.5595,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.013592599584670568,
|
| 132 |
+
"grad_norm": 0.12339697778224945,
|
| 133 |
+
"learning_rate": 9.997606993099789e-05,
|
| 134 |
+
"loss": 0.4647,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.014347744006041155,
|
| 139 |
+
"grad_norm": 0.13940560817718506,
|
| 140 |
+
"learning_rate": 9.997224713759335e-05,
|
| 141 |
+
"loss": 0.5441,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.015102888427411743,
|
| 146 |
+
"grad_norm": 0.12651537358760834,
|
| 147 |
+
"learning_rate": 9.99681412828496e-05,
|
| 148 |
+
"loss": 0.5482,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.01585803284878233,
|
| 153 |
+
"grad_norm": 0.13802285492420197,
|
| 154 |
+
"learning_rate": 9.996375239002369e-05,
|
| 155 |
+
"loss": 0.4715,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.016613177270152917,
|
| 160 |
+
"grad_norm": 0.13440218567848206,
|
| 161 |
+
"learning_rate": 9.995908048397595e-05,
|
| 162 |
+
"loss": 0.5641,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.017368321691523504,
|
| 167 |
+
"grad_norm": 0.139227494597435,
|
| 168 |
+
"learning_rate": 9.995412559116979e-05,
|
| 169 |
+
"loss": 0.4398,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.01812346611289409,
|
| 174 |
+
"grad_norm": 0.1373261958360672,
|
| 175 |
+
"learning_rate": 9.994888773967157e-05,
|
| 176 |
+
"loss": 0.5384,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.018878610534264678,
|
| 181 |
+
"grad_norm": 0.14462506771087646,
|
| 182 |
+
"learning_rate": 9.99433669591504e-05,
|
| 183 |
+
"loss": 0.5708,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.019633754955635265,
|
| 188 |
+
"grad_norm": 0.14911501109600067,
|
| 189 |
+
"learning_rate": 9.993756328087805e-05,
|
| 190 |
+
"loss": 0.5851,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.020388899377005852,
|
| 195 |
+
"grad_norm": 0.13722750544548035,
|
| 196 |
+
"learning_rate": 9.99314767377287e-05,
|
| 197 |
+
"loss": 0.488,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.02114404379837644,
|
| 202 |
+
"grad_norm": 0.1530655175447464,
|
| 203 |
+
"learning_rate": 9.992510736417878e-05,
|
| 204 |
+
"loss": 0.5364,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.021899188219747026,
|
| 209 |
+
"grad_norm": 0.14158278703689575,
|
| 210 |
+
"learning_rate": 9.991845519630678e-05,
|
| 211 |
+
"loss": 0.4066,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.022654332641117613,
|
| 216 |
+
"grad_norm": 0.14002585411071777,
|
| 217 |
+
"learning_rate": 9.991152027179307e-05,
|
| 218 |
+
"loss": 0.4307,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.0234094770624882,
|
| 223 |
+
"grad_norm": 0.15578630566596985,
|
| 224 |
+
"learning_rate": 9.990430262991962e-05,
|
| 225 |
+
"loss": 0.4661,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.024164621483858787,
|
| 230 |
+
"grad_norm": 0.16023118793964386,
|
| 231 |
+
"learning_rate": 9.989680231156981e-05,
|
| 232 |
+
"loss": 0.4454,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.024919765905229374,
|
| 237 |
+
"grad_norm": 0.17581893503665924,
|
| 238 |
+
"learning_rate": 9.988901935922826e-05,
|
| 239 |
+
"loss": 0.5209,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.02567491032659996,
|
| 244 |
+
"grad_norm": 0.1649864912033081,
|
| 245 |
+
"learning_rate": 9.988095381698048e-05,
|
| 246 |
+
"loss": 0.5037,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.026430054747970548,
|
| 251 |
+
"grad_norm": 0.18106521666049957,
|
| 252 |
+
"learning_rate": 9.987260573051269e-05,
|
| 253 |
+
"loss": 0.4649,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.027185199169341135,
|
| 258 |
+
"grad_norm": 0.1807573437690735,
|
| 259 |
+
"learning_rate": 9.986397514711154e-05,
|
| 260 |
+
"loss": 0.4987,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.027940343590711722,
|
| 265 |
+
"grad_norm": 0.392092764377594,
|
| 266 |
+
"learning_rate": 9.985506211566388e-05,
|
| 267 |
+
"loss": 0.526,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.02869548801208231,
|
| 272 |
+
"grad_norm": 0.17764483392238617,
|
| 273 |
+
"learning_rate": 9.98458666866564e-05,
|
| 274 |
+
"loss": 0.4262,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.0294506324334529,
|
| 279 |
+
"grad_norm": 0.20041850209236145,
|
| 280 |
+
"learning_rate": 9.983638891217544e-05,
|
| 281 |
+
"loss": 0.5239,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.030205776854823486,
|
| 286 |
+
"grad_norm": 0.19753199815750122,
|
| 287 |
+
"learning_rate": 9.982662884590662e-05,
|
| 288 |
+
"loss": 0.4918,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.030960921276194073,
|
| 293 |
+
"grad_norm": 0.19215907156467438,
|
| 294 |
+
"learning_rate": 9.981658654313457e-05,
|
| 295 |
+
"loss": 0.4474,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.03171606569756466,
|
| 300 |
+
"grad_norm": 0.19931669533252716,
|
| 301 |
+
"learning_rate": 9.980626206074263e-05,
|
| 302 |
+
"loss": 0.4531,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.032471210118935244,
|
| 307 |
+
"grad_norm": 0.20595461130142212,
|
| 308 |
+
"learning_rate": 9.979565545721248e-05,
|
| 309 |
+
"loss": 0.4495,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.033226354540305834,
|
| 314 |
+
"grad_norm": 0.20857509970664978,
|
| 315 |
+
"learning_rate": 9.978476679262387e-05,
|
| 316 |
+
"loss": 0.4331,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.03398149896167642,
|
| 321 |
+
"grad_norm": 0.21194373071193695,
|
| 322 |
+
"learning_rate": 9.977359612865423e-05,
|
| 323 |
+
"loss": 0.3721,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.03473664338304701,
|
| 328 |
+
"grad_norm": 0.21357247233390808,
|
| 329 |
+
"learning_rate": 9.976214352857834e-05,
|
| 330 |
+
"loss": 0.4586,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.03549178780441759,
|
| 335 |
+
"grad_norm": 0.23830629885196686,
|
| 336 |
+
"learning_rate": 9.975040905726798e-05,
|
| 337 |
+
"loss": 0.4416,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.03624693222578818,
|
| 342 |
+
"grad_norm": 0.2576565444469452,
|
| 343 |
+
"learning_rate": 9.973839278119155e-05,
|
| 344 |
+
"loss": 0.4685,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.037002076647158766,
|
| 349 |
+
"grad_norm": 0.5738092660903931,
|
| 350 |
+
"learning_rate": 9.972609476841367e-05,
|
| 351 |
+
"loss": 0.3931,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.037757221068529356,
|
| 356 |
+
"grad_norm": 0.31976327300071716,
|
| 357 |
+
"learning_rate": 9.971351508859488e-05,
|
| 358 |
+
"loss": 0.419,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.03851236548989995,
|
| 363 |
+
"grad_norm": 0.11089778691530228,
|
| 364 |
+
"learning_rate": 9.970065381299112e-05,
|
| 365 |
+
"loss": 0.3417,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.03926750991127053,
|
| 370 |
+
"grad_norm": 0.13030797243118286,
|
| 371 |
+
"learning_rate": 9.968751101445343e-05,
|
| 372 |
+
"loss": 0.3921,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.04002265433264112,
|
| 377 |
+
"grad_norm": 0.12426062673330307,
|
| 378 |
+
"learning_rate": 9.967408676742751e-05,
|
| 379 |
+
"loss": 0.3519,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.040777798754011704,
|
| 384 |
+
"grad_norm": 0.13413658738136292,
|
| 385 |
+
"learning_rate": 9.966038114795328e-05,
|
| 386 |
+
"loss": 0.4093,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.041532943175382295,
|
| 391 |
+
"grad_norm": 0.1284988820552826,
|
| 392 |
+
"learning_rate": 9.964639423366442e-05,
|
| 393 |
+
"loss": 0.4002,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.04228808759675288,
|
| 398 |
+
"grad_norm": 0.11679685115814209,
|
| 399 |
+
"learning_rate": 9.963212610378803e-05,
|
| 400 |
+
"loss": 0.4191,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.04304323201812347,
|
| 405 |
+
"grad_norm": 0.12084402143955231,
|
| 406 |
+
"learning_rate": 9.961757683914406e-05,
|
| 407 |
+
"loss": 0.3768,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.04379837643949405,
|
| 412 |
+
"grad_norm": 0.11981435120105743,
|
| 413 |
+
"learning_rate": 9.960274652214496e-05,
|
| 414 |
+
"loss": 0.4396,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.04455352086086464,
|
| 419 |
+
"grad_norm": 0.1252336949110031,
|
| 420 |
+
"learning_rate": 9.958763523679514e-05,
|
| 421 |
+
"loss": 0.4526,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.045308665282235226,
|
| 426 |
+
"grad_norm": 0.12791119515895844,
|
| 427 |
+
"learning_rate": 9.957224306869053e-05,
|
| 428 |
+
"loss": 0.4877,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.04606380970360582,
|
| 433 |
+
"grad_norm": 0.12734884023666382,
|
| 434 |
+
"learning_rate": 9.955657010501806e-05,
|
| 435 |
+
"loss": 0.4608,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.0468189541249764,
|
| 440 |
+
"grad_norm": 0.12033625692129135,
|
| 441 |
+
"learning_rate": 9.954061643455523e-05,
|
| 442 |
+
"loss": 0.4842,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.04757409854634699,
|
| 447 |
+
"grad_norm": 0.11826111376285553,
|
| 448 |
+
"learning_rate": 9.952438214766955e-05,
|
| 449 |
+
"loss": 0.4132,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.048329242967717574,
|
| 454 |
+
"grad_norm": 0.12830643355846405,
|
| 455 |
+
"learning_rate": 9.950786733631801e-05,
|
| 456 |
+
"loss": 0.4733,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.049084387389088165,
|
| 461 |
+
"grad_norm": 0.13267682492733002,
|
| 462 |
+
"learning_rate": 9.949107209404665e-05,
|
| 463 |
+
"loss": 0.4303,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.04983953181045875,
|
| 468 |
+
"grad_norm": 0.12670353055000305,
|
| 469 |
+
"learning_rate": 9.947399651598993e-05,
|
| 470 |
+
"loss": 0.5202,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.05059467623182934,
|
| 475 |
+
"grad_norm": 0.15055082738399506,
|
| 476 |
+
"learning_rate": 9.945664069887028e-05,
|
| 477 |
+
"loss": 0.4475,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.05134982065319992,
|
| 482 |
+
"grad_norm": 0.13549265265464783,
|
| 483 |
+
"learning_rate": 9.943900474099748e-05,
|
| 484 |
+
"loss": 0.5083,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.05210496507457051,
|
| 489 |
+
"grad_norm": 0.12346430122852325,
|
| 490 |
+
"learning_rate": 9.942108874226811e-05,
|
| 491 |
+
"loss": 0.3601,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.052860109495941096,
|
| 496 |
+
"grad_norm": 0.14251157641410828,
|
| 497 |
+
"learning_rate": 9.940289280416508e-05,
|
| 498 |
+
"loss": 0.4827,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.05361525391731169,
|
| 503 |
+
"grad_norm": 0.13678328692913055,
|
| 504 |
+
"learning_rate": 9.938441702975689e-05,
|
| 505 |
+
"loss": 0.4081,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.05437039833868227,
|
| 510 |
+
"grad_norm": 0.13870520889759064,
|
| 511 |
+
"learning_rate": 9.93656615236972e-05,
|
| 512 |
+
"loss": 0.442,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.05512554276005286,
|
| 517 |
+
"grad_norm": 0.13190938532352448,
|
| 518 |
+
"learning_rate": 9.934662639222412e-05,
|
| 519 |
+
"loss": 0.409,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.055880687181423444,
|
| 524 |
+
"grad_norm": 0.1491832584142685,
|
| 525 |
+
"learning_rate": 9.932731174315972e-05,
|
| 526 |
+
"loss": 0.5432,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.056635831602794035,
|
| 531 |
+
"grad_norm": 0.14117342233657837,
|
| 532 |
+
"learning_rate": 9.930771768590933e-05,
|
| 533 |
+
"loss": 0.436,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.05739097602416462,
|
| 538 |
+
"grad_norm": 0.15490145981311798,
|
| 539 |
+
"learning_rate": 9.928784433146096e-05,
|
| 540 |
+
"loss": 0.4399,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.05814612044553521,
|
| 545 |
+
"grad_norm": 0.15420539677143097,
|
| 546 |
+
"learning_rate": 9.926769179238466e-05,
|
| 547 |
+
"loss": 0.4223,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.0589012648669058,
|
| 552 |
+
"grad_norm": 0.15358476340770721,
|
| 553 |
+
"learning_rate": 9.924726018283187e-05,
|
| 554 |
+
"loss": 0.4702,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.05965640928827638,
|
| 559 |
+
"grad_norm": 0.15698279440402985,
|
| 560 |
+
"learning_rate": 9.922654961853481e-05,
|
| 561 |
+
"loss": 0.4728,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.06041155370964697,
|
| 566 |
+
"grad_norm": 0.16668903827667236,
|
| 567 |
+
"learning_rate": 9.92055602168058e-05,
|
| 568 |
+
"loss": 0.4654,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.061166698131017556,
|
| 573 |
+
"grad_norm": 0.16828201711177826,
|
| 574 |
+
"learning_rate": 9.918429209653662e-05,
|
| 575 |
+
"loss": 0.4588,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.06192184255238815,
|
| 580 |
+
"grad_norm": 0.1675289273262024,
|
| 581 |
+
"learning_rate": 9.916274537819775e-05,
|
| 582 |
+
"loss": 0.489,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.06267698697375873,
|
| 587 |
+
"grad_norm": 0.19768594205379486,
|
| 588 |
+
"learning_rate": 9.914092018383778e-05,
|
| 589 |
+
"loss": 0.4707,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.06343213139512932,
|
| 594 |
+
"grad_norm": 0.17943724989891052,
|
| 595 |
+
"learning_rate": 9.911881663708275e-05,
|
| 596 |
+
"loss": 0.458,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.06418727581649991,
|
| 601 |
+
"grad_norm": 0.18578174710273743,
|
| 602 |
+
"learning_rate": 9.909643486313533e-05,
|
| 603 |
+
"loss": 0.403,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.06494242023787049,
|
| 608 |
+
"grad_norm": 0.1998097449541092,
|
| 609 |
+
"learning_rate": 9.90737749887742e-05,
|
| 610 |
+
"loss": 0.5154,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.06569756465924108,
|
| 615 |
+
"grad_norm": 0.18927428126335144,
|
| 616 |
+
"learning_rate": 9.905083714235326e-05,
|
| 617 |
+
"loss": 0.4682,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.06645270908061167,
|
| 622 |
+
"grad_norm": 0.18993408977985382,
|
| 623 |
+
"learning_rate": 9.9027621453801e-05,
|
| 624 |
+
"loss": 0.4373,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.06720785350198226,
|
| 629 |
+
"grad_norm": 0.18295501172542572,
|
| 630 |
+
"learning_rate": 9.900412805461967e-05,
|
| 631 |
+
"loss": 0.4163,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.06796299792335284,
|
| 636 |
+
"grad_norm": 0.20295414328575134,
|
| 637 |
+
"learning_rate": 9.898035707788463e-05,
|
| 638 |
+
"loss": 0.4816,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.06871814234472343,
|
| 643 |
+
"grad_norm": 0.21273529529571533,
|
| 644 |
+
"learning_rate": 9.895630865824347e-05,
|
| 645 |
+
"loss": 0.4363,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.06947328676609402,
|
| 650 |
+
"grad_norm": 0.21219299733638763,
|
| 651 |
+
"learning_rate": 9.893198293191538e-05,
|
| 652 |
+
"loss": 0.5055,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.07022843118746461,
|
| 657 |
+
"grad_norm": 0.2346925586462021,
|
| 658 |
+
"learning_rate": 9.890738003669029e-05,
|
| 659 |
+
"loss": 0.5144,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.07098357560883518,
|
| 664 |
+
"grad_norm": 0.2355310320854187,
|
| 665 |
+
"learning_rate": 9.888250011192811e-05,
|
| 666 |
+
"loss": 0.4826,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.07173872003020577,
|
| 671 |
+
"grad_norm": 0.23005840182304382,
|
| 672 |
+
"learning_rate": 9.885734329855798e-05,
|
| 673 |
+
"loss": 0.4764,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.07249386445157636,
|
| 678 |
+
"grad_norm": 0.2246306836605072,
|
| 679 |
+
"learning_rate": 9.883190973907741e-05,
|
| 680 |
+
"loss": 0.3891,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.07324900887294696,
|
| 685 |
+
"grad_norm": 0.28144529461860657,
|
| 686 |
+
"learning_rate": 9.880619957755151e-05,
|
| 687 |
+
"loss": 0.5174,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.07400415329431753,
|
| 692 |
+
"grad_norm": 0.27972379326820374,
|
| 693 |
+
"learning_rate": 9.878021295961217e-05,
|
| 694 |
+
"loss": 0.4433,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.07475929771568812,
|
| 699 |
+
"grad_norm": 0.3294559717178345,
|
| 700 |
+
"learning_rate": 9.875395003245724e-05,
|
| 701 |
+
"loss": 0.442,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.07551444213705871,
|
| 706 |
+
"grad_norm": 0.3774302303791046,
|
| 707 |
+
"learning_rate": 9.872741094484965e-05,
|
| 708 |
+
"loss": 0.5358,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.0762695865584293,
|
| 713 |
+
"grad_norm": 0.12596380710601807,
|
| 714 |
+
"learning_rate": 9.870059584711668e-05,
|
| 715 |
+
"loss": 0.3584,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.0770247309797999,
|
| 720 |
+
"grad_norm": 0.1355014592409134,
|
| 721 |
+
"learning_rate": 9.867350489114894e-05,
|
| 722 |
+
"loss": 0.4008,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.07777987540117047,
|
| 727 |
+
"grad_norm": 0.14024491608142853,
|
| 728 |
+
"learning_rate": 9.864613823039969e-05,
|
| 729 |
+
"loss": 0.3752,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.07853501982254106,
|
| 734 |
+
"grad_norm": 0.13403770327568054,
|
| 735 |
+
"learning_rate": 9.861849601988383e-05,
|
| 736 |
+
"loss": 0.38,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.07929016424391165,
|
| 741 |
+
"grad_norm": 0.1362624615430832,
|
| 742 |
+
"learning_rate": 9.859057841617709e-05,
|
| 743 |
+
"loss": 0.3889,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.08004530866528224,
|
| 748 |
+
"grad_norm": 0.137498140335083,
|
| 749 |
+
"learning_rate": 9.856238557741513e-05,
|
| 750 |
+
"loss": 0.4215,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.08080045308665282,
|
| 755 |
+
"grad_norm": 0.1259029656648636,
|
| 756 |
+
"learning_rate": 9.853391766329263e-05,
|
| 757 |
+
"loss": 0.3831,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.08155559750802341,
|
| 762 |
+
"grad_norm": 0.12306073307991028,
|
| 763 |
+
"learning_rate": 9.850517483506244e-05,
|
| 764 |
+
"loss": 0.3843,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.082310741929394,
|
| 769 |
+
"grad_norm": 0.12481655925512314,
|
| 770 |
+
"learning_rate": 9.847615725553456e-05,
|
| 771 |
+
"loss": 0.4206,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.08306588635076459,
|
| 776 |
+
"grad_norm": 0.11769527196884155,
|
| 777 |
+
"learning_rate": 9.844686508907537e-05,
|
| 778 |
+
"loss": 0.3633,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.08382103077213517,
|
| 783 |
+
"grad_norm": 0.12572641670703888,
|
| 784 |
+
"learning_rate": 9.841729850160652e-05,
|
| 785 |
+
"loss": 0.4113,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.08457617519350576,
|
| 790 |
+
"grad_norm": 0.12385623157024384,
|
| 791 |
+
"learning_rate": 9.838745766060416e-05,
|
| 792 |
+
"loss": 0.3894,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.08533131961487635,
|
| 797 |
+
"grad_norm": 0.13819383084774017,
|
| 798 |
+
"learning_rate": 9.835734273509786e-05,
|
| 799 |
+
"loss": 0.4989,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.08608646403624694,
|
| 804 |
+
"grad_norm": 0.13039085268974304,
|
| 805 |
+
"learning_rate": 9.832695389566972e-05,
|
| 806 |
+
"loss": 0.4502,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.08684160845761751,
|
| 811 |
+
"grad_norm": 0.14915941655635834,
|
| 812 |
+
"learning_rate": 9.829629131445342e-05,
|
| 813 |
+
"loss": 0.4674,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.0875967528789881,
|
| 818 |
+
"grad_norm": 0.13414114713668823,
|
| 819 |
+
"learning_rate": 9.826535516513317e-05,
|
| 820 |
+
"loss": 0.4914,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.0883518973003587,
|
| 825 |
+
"grad_norm": 0.13531801104545593,
|
| 826 |
+
"learning_rate": 9.82341456229428e-05,
|
| 827 |
+
"loss": 0.4764,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.08910704172172929,
|
| 832 |
+
"grad_norm": 0.1374198943376541,
|
| 833 |
+
"learning_rate": 9.820266286466471e-05,
|
| 834 |
+
"loss": 0.4299,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.08986218614309986,
|
| 839 |
+
"grad_norm": 0.14264227449893951,
|
| 840 |
+
"learning_rate": 9.817090706862895e-05,
|
| 841 |
+
"loss": 0.4164,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.09061733056447045,
|
| 846 |
+
"grad_norm": 0.14601197838783264,
|
| 847 |
+
"learning_rate": 9.81388784147121e-05,
|
| 848 |
+
"loss": 0.4273,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.09137247498584104,
|
| 853 |
+
"grad_norm": 0.1535925269126892,
|
| 854 |
+
"learning_rate": 9.810657708433637e-05,
|
| 855 |
+
"loss": 0.4947,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.09212761940721163,
|
| 860 |
+
"grad_norm": 0.1509617269039154,
|
| 861 |
+
"learning_rate": 9.807400326046843e-05,
|
| 862 |
+
"loss": 0.3626,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.09288276382858221,
|
| 867 |
+
"grad_norm": 0.15619726479053497,
|
| 868 |
+
"learning_rate": 9.804115712761851e-05,
|
| 869 |
+
"loss": 0.4597,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.0936379082499528,
|
| 874 |
+
"grad_norm": 0.1454990804195404,
|
| 875 |
+
"learning_rate": 9.80080388718393e-05,
|
| 876 |
+
"loss": 0.3858,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.09439305267132339,
|
| 881 |
+
"grad_norm": 0.1631968766450882,
|
| 882 |
+
"learning_rate": 9.797464868072488e-05,
|
| 883 |
+
"loss": 0.435,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.09514819709269398,
|
| 888 |
+
"grad_norm": 0.15620705485343933,
|
| 889 |
+
"learning_rate": 9.794098674340965e-05,
|
| 890 |
+
"loss": 0.4259,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.09590334151406457,
|
| 895 |
+
"grad_norm": 0.16626444458961487,
|
| 896 |
+
"learning_rate": 9.790705325056735e-05,
|
| 897 |
+
"loss": 0.4253,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.09665848593543515,
|
| 902 |
+
"grad_norm": 0.16531290113925934,
|
| 903 |
+
"learning_rate": 9.787284839440982e-05,
|
| 904 |
+
"loss": 0.4284,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.09741363035680574,
|
| 909 |
+
"grad_norm": 0.15550102293491364,
|
| 910 |
+
"learning_rate": 9.783837236868609e-05,
|
| 911 |
+
"loss": 0.3745,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.09816877477817633,
|
| 916 |
+
"grad_norm": 0.17284280061721802,
|
| 917 |
+
"learning_rate": 9.780362536868113e-05,
|
| 918 |
+
"loss": 0.4458,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.09892391919954692,
|
| 923 |
+
"grad_norm": 0.16307754814624786,
|
| 924 |
+
"learning_rate": 9.776860759121484e-05,
|
| 925 |
+
"loss": 0.4001,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.0996790636209175,
|
| 930 |
+
"grad_norm": 0.1765722781419754,
|
| 931 |
+
"learning_rate": 9.77333192346409e-05,
|
| 932 |
+
"loss": 0.4215,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.10043420804228809,
|
| 937 |
+
"grad_norm": 0.1748800426721573,
|
| 938 |
+
"learning_rate": 9.769776049884563e-05,
|
| 939 |
+
"loss": 0.4215,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.10118935246365868,
|
| 944 |
+
"grad_norm": 0.18451336026191711,
|
| 945 |
+
"learning_rate": 9.766193158524692e-05,
|
| 946 |
+
"loss": 0.4214,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.10194449688502927,
|
| 951 |
+
"grad_norm": 0.19954369962215424,
|
| 952 |
+
"learning_rate": 9.762583269679303e-05,
|
| 953 |
+
"loss": 0.4085,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.10269964130639984,
|
| 958 |
+
"grad_norm": 0.2019212394952774,
|
| 959 |
+
"learning_rate": 9.758946403796143e-05,
|
| 960 |
+
"loss": 0.3836,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.10345478572777043,
|
| 965 |
+
"grad_norm": 0.20586973428726196,
|
| 966 |
+
"learning_rate": 9.755282581475769e-05,
|
| 967 |
+
"loss": 0.4231,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.10420993014914103,
|
| 972 |
+
"grad_norm": 0.2090785652399063,
|
| 973 |
+
"learning_rate": 9.751591823471429e-05,
|
| 974 |
+
"loss": 0.4385,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.10496507457051162,
|
| 979 |
+
"grad_norm": 0.21643619239330292,
|
| 980 |
+
"learning_rate": 9.747874150688948e-05,
|
| 981 |
+
"loss": 0.4758,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.10572021899188219,
|
| 986 |
+
"grad_norm": 0.19914501905441284,
|
| 987 |
+
"learning_rate": 9.744129584186598e-05,
|
| 988 |
+
"loss": 0.3888,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.10647536341325278,
|
| 993 |
+
"grad_norm": 0.23445309698581696,
|
| 994 |
+
"learning_rate": 9.740358145174998e-05,
|
| 995 |
+
"loss": 0.4988,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.10723050783462337,
|
| 1000 |
+
"grad_norm": 0.21564048528671265,
|
| 1001 |
+
"learning_rate": 9.736559855016973e-05,
|
| 1002 |
+
"loss": 0.4387,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.10798565225599396,
|
| 1007 |
+
"grad_norm": 0.21970051527023315,
|
| 1008 |
+
"learning_rate": 9.73273473522745e-05,
|
| 1009 |
+
"loss": 0.3984,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.10874079667736454,
|
| 1014 |
+
"grad_norm": 0.24472594261169434,
|
| 1015 |
+
"learning_rate": 9.728882807473324e-05,
|
| 1016 |
+
"loss": 0.378,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.10949594109873513,
|
| 1021 |
+
"grad_norm": 0.24230483174324036,
|
| 1022 |
+
"learning_rate": 9.725004093573342e-05,
|
| 1023 |
+
"loss": 0.4024,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.11025108552010572,
|
| 1028 |
+
"grad_norm": 0.24002547562122345,
|
| 1029 |
+
"learning_rate": 9.72109861549798e-05,
|
| 1030 |
+
"loss": 0.3738,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.11100622994147631,
|
| 1035 |
+
"grad_norm": 0.2504161298274994,
|
| 1036 |
+
"learning_rate": 9.717166395369313e-05,
|
| 1037 |
+
"loss": 0.3868,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.11176137436284689,
|
| 1042 |
+
"grad_norm": 0.2596012055873871,
|
| 1043 |
+
"learning_rate": 9.713207455460894e-05,
|
| 1044 |
+
"loss": 0.4068,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.11251651878421748,
|
| 1049 |
+
"grad_norm": 0.3224775493144989,
|
| 1050 |
+
"learning_rate": 9.709221818197624e-05,
|
| 1051 |
+
"loss": 0.4875,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.11327166320558807,
|
| 1056 |
+
"grad_norm": 0.40476924180984497,
|
| 1057 |
+
"learning_rate": 9.705209506155634e-05,
|
| 1058 |
+
"loss": 0.4832,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.11402680762695866,
|
| 1063 |
+
"grad_norm": 0.11512809246778488,
|
| 1064 |
+
"learning_rate": 9.701170542062148e-05,
|
| 1065 |
+
"loss": 0.3255,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.11478195204832924,
|
| 1070 |
+
"grad_norm": 0.13325871527194977,
|
| 1071 |
+
"learning_rate": 9.697104948795352e-05,
|
| 1072 |
+
"loss": 0.3707,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.11553709646969983,
|
| 1077 |
+
"grad_norm": 0.1390884816646576,
|
| 1078 |
+
"learning_rate": 9.693012749384279e-05,
|
| 1079 |
+
"loss": 0.3659,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.11629224089107042,
|
| 1084 |
+
"grad_norm": 0.13481466472148895,
|
| 1085 |
+
"learning_rate": 9.688893967008661e-05,
|
| 1086 |
+
"loss": 0.3847,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.11704738531244101,
|
| 1091 |
+
"grad_norm": 0.14832735061645508,
|
| 1092 |
+
"learning_rate": 9.68474862499881e-05,
|
| 1093 |
+
"loss": 0.457,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.1178025297338116,
|
| 1098 |
+
"grad_norm": 0.13634005188941956,
|
| 1099 |
+
"learning_rate": 9.68057674683548e-05,
|
| 1100 |
+
"loss": 0.4172,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.11855767415518217,
|
| 1105 |
+
"grad_norm": 0.1387951821088791,
|
| 1106 |
+
"learning_rate": 9.676378356149734e-05,
|
| 1107 |
+
"loss": 0.4252,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.11931281857655276,
|
| 1112 |
+
"grad_norm": 0.1387217789888382,
|
| 1113 |
+
"learning_rate": 9.672153476722816e-05,
|
| 1114 |
+
"loss": 0.3928,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.12006796299792336,
|
| 1119 |
+
"grad_norm": 0.14391182363033295,
|
| 1120 |
+
"learning_rate": 9.667902132486009e-05,
|
| 1121 |
+
"loss": 0.4545,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.12082310741929395,
|
| 1126 |
+
"grad_norm": 0.1416245996952057,
|
| 1127 |
+
"learning_rate": 9.663624347520505e-05,
|
| 1128 |
+
"loss": 0.4543,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.12157825184066452,
|
| 1133 |
+
"grad_norm": 0.13763579726219177,
|
| 1134 |
+
"learning_rate": 9.659320146057262e-05,
|
| 1135 |
+
"loss": 0.3957,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.12233339626203511,
|
| 1140 |
+
"grad_norm": 0.14178583025932312,
|
| 1141 |
+
"learning_rate": 9.654989552476875e-05,
|
| 1142 |
+
"loss": 0.448,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.1230885406834057,
|
| 1147 |
+
"grad_norm": 0.13738113641738892,
|
| 1148 |
+
"learning_rate": 9.650632591309431e-05,
|
| 1149 |
+
"loss": 0.3954,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.1238436851047763,
|
| 1154 |
+
"grad_norm": 0.14869531989097595,
|
| 1155 |
+
"learning_rate": 9.646249287234374e-05,
|
| 1156 |
+
"loss": 0.4405,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.12459882952614687,
|
| 1161 |
+
"grad_norm": 0.14332245290279388,
|
| 1162 |
+
"learning_rate": 9.641839665080363e-05,
|
| 1163 |
+
"loss": 0.4543,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.12535397394751746,
|
| 1168 |
+
"grad_norm": 0.14617004990577698,
|
| 1169 |
+
"learning_rate": 9.637403749825135e-05,
|
| 1170 |
+
"loss": 0.397,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.12610911836888805,
|
| 1175 |
+
"grad_norm": 0.16142374277114868,
|
| 1176 |
+
"learning_rate": 9.632941566595357e-05,
|
| 1177 |
+
"loss": 0.5283,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.12686426279025864,
|
| 1182 |
+
"grad_norm": 0.15721464157104492,
|
| 1183 |
+
"learning_rate": 9.628453140666492e-05,
|
| 1184 |
+
"loss": 0.433,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.12761940721162923,
|
| 1189 |
+
"grad_norm": 0.1646830439567566,
|
| 1190 |
+
"learning_rate": 9.623938497462646e-05,
|
| 1191 |
+
"loss": 0.5024,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.12837455163299982,
|
| 1196 |
+
"grad_norm": 0.14574110507965088,
|
| 1197 |
+
"learning_rate": 9.619397662556435e-05,
|
| 1198 |
+
"loss": 0.4194,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.12912969605437039,
|
| 1203 |
+
"grad_norm": 0.15734295547008514,
|
| 1204 |
+
"learning_rate": 9.614830661668829e-05,
|
| 1205 |
+
"loss": 0.4757,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.12988484047574098,
|
| 1210 |
+
"grad_norm": 0.15386731922626495,
|
| 1211 |
+
"learning_rate": 9.610237520669016e-05,
|
| 1212 |
+
"loss": 0.3874,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.13063998489711157,
|
| 1217 |
+
"grad_norm": 0.16264206171035767,
|
| 1218 |
+
"learning_rate": 9.60561826557425e-05,
|
| 1219 |
+
"loss": 0.409,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.13139512931848216,
|
| 1224 |
+
"grad_norm": 0.1713552325963974,
|
| 1225 |
+
"learning_rate": 9.600972922549707e-05,
|
| 1226 |
+
"loss": 0.4799,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.13215027373985275,
|
| 1231 |
+
"grad_norm": 0.17139887809753418,
|
| 1232 |
+
"learning_rate": 9.596301517908328e-05,
|
| 1233 |
+
"loss": 0.3992,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.13290541816122334,
|
| 1238 |
+
"grad_norm": 0.16348589956760406,
|
| 1239 |
+
"learning_rate": 9.591604078110685e-05,
|
| 1240 |
+
"loss": 0.3942,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.13366056258259393,
|
| 1245 |
+
"grad_norm": 0.1675892323255539,
|
| 1246 |
+
"learning_rate": 9.586880629764817e-05,
|
| 1247 |
+
"loss": 0.4305,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.13441570700396452,
|
| 1252 |
+
"grad_norm": 0.1761837750673294,
|
| 1253 |
+
"learning_rate": 9.582131199626087e-05,
|
| 1254 |
+
"loss": 0.4386,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.1351708514253351,
|
| 1259 |
+
"grad_norm": 0.1876501590013504,
|
| 1260 |
+
"learning_rate": 9.577355814597031e-05,
|
| 1261 |
+
"loss": 0.4765,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.13592599584670567,
|
| 1266 |
+
"grad_norm": 0.18781447410583496,
|
| 1267 |
+
"learning_rate": 9.572554501727198e-05,
|
| 1268 |
+
"loss": 0.4502,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.13668114026807626,
|
| 1273 |
+
"grad_norm": 0.20662984251976013,
|
| 1274 |
+
"learning_rate": 9.567727288213005e-05,
|
| 1275 |
+
"loss": 0.4612,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.13743628468944685,
|
| 1280 |
+
"grad_norm": 0.19330036640167236,
|
| 1281 |
+
"learning_rate": 9.56287420139758e-05,
|
| 1282 |
+
"loss": 0.4344,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.13819142911081744,
|
| 1287 |
+
"grad_norm": 0.19399768114089966,
|
| 1288 |
+
"learning_rate": 9.557995268770608e-05,
|
| 1289 |
+
"loss": 0.4314,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.13894657353218803,
|
| 1294 |
+
"grad_norm": 0.200825035572052,
|
| 1295 |
+
"learning_rate": 9.553090517968169e-05,
|
| 1296 |
+
"loss": 0.4095,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.13970171795355862,
|
| 1301 |
+
"grad_norm": 0.21249161660671234,
|
| 1302 |
+
"learning_rate": 9.548159976772592e-05,
|
| 1303 |
+
"loss": 0.5122,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.14045686237492921,
|
| 1308 |
+
"grad_norm": 0.2057344764471054,
|
| 1309 |
+
"learning_rate": 9.543203673112293e-05,
|
| 1310 |
+
"loss": 0.4131,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.1412120067962998,
|
| 1315 |
+
"grad_norm": 0.2109992653131485,
|
| 1316 |
+
"learning_rate": 9.538221635061611e-05,
|
| 1317 |
+
"loss": 0.4596,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.14196715121767037,
|
| 1322 |
+
"grad_norm": 0.2060767263174057,
|
| 1323 |
+
"learning_rate": 9.533213890840657e-05,
|
| 1324 |
+
"loss": 0.4008,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.14272229563904096,
|
| 1329 |
+
"grad_norm": 0.22520488500595093,
|
| 1330 |
+
"learning_rate": 9.528180468815155e-05,
|
| 1331 |
+
"loss": 0.451,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.14347744006041155,
|
| 1336 |
+
"grad_norm": 0.23366759717464447,
|
| 1337 |
+
"learning_rate": 9.523121397496269e-05,
|
| 1338 |
+
"loss": 0.435,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.14423258448178214,
|
| 1343 |
+
"grad_norm": 0.23018625378608704,
|
| 1344 |
+
"learning_rate": 9.518036705540458e-05,
|
| 1345 |
+
"loss": 0.4397,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.14498772890315273,
|
| 1350 |
+
"grad_norm": 0.22498714923858643,
|
| 1351 |
+
"learning_rate": 9.512926421749304e-05,
|
| 1352 |
+
"loss": 0.3717,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.14574287332452332,
|
| 1357 |
+
"grad_norm": 0.24823418259620667,
|
| 1358 |
+
"learning_rate": 9.507790575069347e-05,
|
| 1359 |
+
"loss": 0.3805,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.1464980177458939,
|
| 1364 |
+
"grad_norm": 0.27361419796943665,
|
| 1365 |
+
"learning_rate": 9.502629194591926e-05,
|
| 1366 |
+
"loss": 0.5063,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.1472531621672645,
|
| 1371 |
+
"grad_norm": 0.27400317788124084,
|
| 1372 |
+
"learning_rate": 9.497442309553016e-05,
|
| 1373 |
+
"loss": 0.455,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.14800830658863506,
|
| 1378 |
+
"grad_norm": 0.30166488885879517,
|
| 1379 |
+
"learning_rate": 9.492229949333058e-05,
|
| 1380 |
+
"loss": 0.5024,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.14876345101000565,
|
| 1385 |
+
"grad_norm": 0.29768070578575134,
|
| 1386 |
+
"learning_rate": 9.486992143456792e-05,
|
| 1387 |
+
"loss": 0.382,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.14951859543137624,
|
| 1392 |
+
"grad_norm": 0.3229611814022064,
|
| 1393 |
+
"learning_rate": 9.481728921593093e-05,
|
| 1394 |
+
"loss": 0.4178,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.15027373985274683,
|
| 1399 |
+
"grad_norm": 0.31606340408325195,
|
| 1400 |
+
"learning_rate": 9.476440313554803e-05,
|
| 1401 |
+
"loss": 0.403,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.15102888427411743,
|
| 1406 |
+
"grad_norm": 0.3485797047615051,
|
| 1407 |
+
"learning_rate": 9.471126349298556e-05,
|
| 1408 |
+
"loss": 0.3898,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.15178402869548802,
|
| 1413 |
+
"grad_norm": 0.12325902283191681,
|
| 1414 |
+
"learning_rate": 9.46578705892462e-05,
|
| 1415 |
+
"loss": 0.3083,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.1525391731168586,
|
| 1420 |
+
"grad_norm": 0.1569177210330963,
|
| 1421 |
+
"learning_rate": 9.460422472676712e-05,
|
| 1422 |
+
"loss": 0.3685,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.1532943175382292,
|
| 1427 |
+
"grad_norm": 0.1423245519399643,
|
| 1428 |
+
"learning_rate": 9.45503262094184e-05,
|
| 1429 |
+
"loss": 0.341,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.1540494619595998,
|
| 1434 |
+
"grad_norm": 0.13771581649780273,
|
| 1435 |
+
"learning_rate": 9.449617534250122e-05,
|
| 1436 |
+
"loss": 0.3271,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.15480460638097035,
|
| 1441 |
+
"grad_norm": 0.15911588072776794,
|
| 1442 |
+
"learning_rate": 9.444177243274618e-05,
|
| 1443 |
+
"loss": 0.4001,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.15555975080234094,
|
| 1448 |
+
"grad_norm": 0.14060606062412262,
|
| 1449 |
+
"learning_rate": 9.438711778831152e-05,
|
| 1450 |
+
"loss": 0.3537,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.15631489522371153,
|
| 1455 |
+
"grad_norm": 0.1690395623445511,
|
| 1456 |
+
"learning_rate": 9.433221171878144e-05,
|
| 1457 |
+
"loss": 0.5235,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.15707003964508212,
|
| 1462 |
+
"grad_norm": 0.133980393409729,
|
| 1463 |
+
"learning_rate": 9.427705453516427e-05,
|
| 1464 |
+
"loss": 0.351,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.1578251840664527,
|
| 1469 |
+
"grad_norm": 0.1446908861398697,
|
| 1470 |
+
"learning_rate": 9.422164654989072e-05,
|
| 1471 |
+
"loss": 0.3714,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.1585803284878233,
|
| 1476 |
+
"grad_norm": 0.15370596945285797,
|
| 1477 |
+
"learning_rate": 9.41659880768122e-05,
|
| 1478 |
+
"loss": 0.4452,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.1593354729091939,
|
| 1483 |
+
"grad_norm": 0.15254907310009003,
|
| 1484 |
+
"learning_rate": 9.411007943119894e-05,
|
| 1485 |
+
"loss": 0.4388,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.16009061733056448,
|
| 1490 |
+
"grad_norm": 0.14596116542816162,
|
| 1491 |
+
"learning_rate": 9.405392092973823e-05,
|
| 1492 |
+
"loss": 0.4037,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.16084576175193505,
|
| 1497 |
+
"grad_norm": 0.14959284663200378,
|
| 1498 |
+
"learning_rate": 9.399751289053267e-05,
|
| 1499 |
+
"loss": 0.3917,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.16160090617330564,
|
| 1504 |
+
"grad_norm": 0.16624942421913147,
|
| 1505 |
+
"learning_rate": 9.394085563309827e-05,
|
| 1506 |
+
"loss": 0.4609,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.16235605059467623,
|
| 1511 |
+
"grad_norm": 0.16217663884162903,
|
| 1512 |
+
"learning_rate": 9.388394947836279e-05,
|
| 1513 |
+
"loss": 0.4446,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.16311119501604682,
|
| 1518 |
+
"grad_norm": 0.1554042100906372,
|
| 1519 |
+
"learning_rate": 9.382679474866376e-05,
|
| 1520 |
+
"loss": 0.4281,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.1638663394374174,
|
| 1525 |
+
"grad_norm": 0.16471102833747864,
|
| 1526 |
+
"learning_rate": 9.376939176774679e-05,
|
| 1527 |
+
"loss": 0.4674,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.164621483858788,
|
| 1532 |
+
"grad_norm": 0.15578734874725342,
|
| 1533 |
+
"learning_rate": 9.371174086076363e-05,
|
| 1534 |
+
"loss": 0.3938,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.1653766282801586,
|
| 1539 |
+
"grad_norm": 0.16161073744297028,
|
| 1540 |
+
"learning_rate": 9.365384235427042e-05,
|
| 1541 |
+
"loss": 0.4238,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.16613177270152918,
|
| 1546 |
+
"grad_norm": 0.16967645287513733,
|
| 1547 |
+
"learning_rate": 9.359569657622574e-05,
|
| 1548 |
+
"loss": 0.4663,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.16688691712289974,
|
| 1553 |
+
"grad_norm": 0.1597963124513626,
|
| 1554 |
+
"learning_rate": 9.353730385598887e-05,
|
| 1555 |
+
"loss": 0.4046,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.16764206154427033,
|
| 1560 |
+
"grad_norm": 0.17794618010520935,
|
| 1561 |
+
"learning_rate": 9.34786645243178e-05,
|
| 1562 |
+
"loss": 0.4111,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.16839720596564092,
|
| 1567 |
+
"grad_norm": 0.16721504926681519,
|
| 1568 |
+
"learning_rate": 9.341977891336749e-05,
|
| 1569 |
+
"loss": 0.4147,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.1691523503870115,
|
| 1574 |
+
"grad_norm": 0.1782609224319458,
|
| 1575 |
+
"learning_rate": 9.336064735668784e-05,
|
| 1576 |
+
"loss": 0.4159,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.1699074948083821,
|
| 1581 |
+
"grad_norm": 0.17892874777317047,
|
| 1582 |
+
"learning_rate": 9.330127018922194e-05,
|
| 1583 |
+
"loss": 0.4498,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.1706626392297527,
|
| 1588 |
+
"grad_norm": 0.18540053069591522,
|
| 1589 |
+
"learning_rate": 9.324164774730406e-05,
|
| 1590 |
+
"loss": 0.4727,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.17141778365112328,
|
| 1595 |
+
"grad_norm": 0.19462263584136963,
|
| 1596 |
+
"learning_rate": 9.318178036865785e-05,
|
| 1597 |
+
"loss": 0.4427,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.17217292807249387,
|
| 1602 |
+
"grad_norm": 0.19947673380374908,
|
| 1603 |
+
"learning_rate": 9.312166839239433e-05,
|
| 1604 |
+
"loss": 0.4262,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.17292807249386447,
|
| 1609 |
+
"grad_norm": 0.19704130291938782,
|
| 1610 |
+
"learning_rate": 9.306131215901003e-05,
|
| 1611 |
+
"loss": 0.4226,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.17368321691523503,
|
| 1616 |
+
"grad_norm": 0.18819350004196167,
|
| 1617 |
+
"learning_rate": 9.300071201038503e-05,
|
| 1618 |
+
"loss": 0.4082,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.17443836133660562,
|
| 1623 |
+
"grad_norm": 0.20187118649482727,
|
| 1624 |
+
"learning_rate": 9.293986828978106e-05,
|
| 1625 |
+
"loss": 0.449,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.1751935057579762,
|
| 1630 |
+
"grad_norm": 0.2177709937095642,
|
| 1631 |
+
"learning_rate": 9.287878134183948e-05,
|
| 1632 |
+
"loss": 0.4607,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.1759486501793468,
|
| 1637 |
+
"grad_norm": 0.2070026397705078,
|
| 1638 |
+
"learning_rate": 9.281745151257946e-05,
|
| 1639 |
+
"loss": 0.3923,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.1767037946007174,
|
| 1644 |
+
"grad_norm": 0.2048753798007965,
|
| 1645 |
+
"learning_rate": 9.275587914939586e-05,
|
| 1646 |
+
"loss": 0.4518,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.17745893902208798,
|
| 1651 |
+
"grad_norm": 0.20374053716659546,
|
| 1652 |
+
"learning_rate": 9.26940646010574e-05,
|
| 1653 |
+
"loss": 0.4258,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.17821408344345857,
|
| 1658 |
+
"grad_norm": 0.22188866138458252,
|
| 1659 |
+
"learning_rate": 9.263200821770461e-05,
|
| 1660 |
+
"loss": 0.3896,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.17896922786482916,
|
| 1665 |
+
"grad_norm": 0.22264693677425385,
|
| 1666 |
+
"learning_rate": 9.256971035084785e-05,
|
| 1667 |
+
"loss": 0.4189,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.17972437228619972,
|
| 1672 |
+
"grad_norm": 0.2051049768924713,
|
| 1673 |
+
"learning_rate": 9.250717135336534e-05,
|
| 1674 |
+
"loss": 0.3751,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.18047951670757031,
|
| 1679 |
+
"grad_norm": 0.24615737795829773,
|
| 1680 |
+
"learning_rate": 9.244439157950114e-05,
|
| 1681 |
+
"loss": 0.4728,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.1812346611289409,
|
| 1686 |
+
"grad_norm": 0.2331840842962265,
|
| 1687 |
+
"learning_rate": 9.238137138486318e-05,
|
| 1688 |
+
"loss": 0.4516,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.1819898055503115,
|
| 1693 |
+
"grad_norm": 0.23615127801895142,
|
| 1694 |
+
"learning_rate": 9.231811112642121e-05,
|
| 1695 |
+
"loss": 0.3788,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.18274494997168209,
|
| 1700 |
+
"grad_norm": 0.2417721003293991,
|
| 1701 |
+
"learning_rate": 9.225461116250483e-05,
|
| 1702 |
+
"loss": 0.4161,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.18350009439305268,
|
| 1707 |
+
"grad_norm": 0.26503533124923706,
|
| 1708 |
+
"learning_rate": 9.219087185280132e-05,
|
| 1709 |
+
"loss": 0.4356,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.18425523881442327,
|
| 1714 |
+
"grad_norm": 0.24484668672084808,
|
| 1715 |
+
"learning_rate": 9.212689355835379e-05,
|
| 1716 |
+
"loss": 0.3629,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.18501038323579386,
|
| 1721 |
+
"grad_norm": 0.2426530420780182,
|
| 1722 |
+
"learning_rate": 9.206267664155907e-05,
|
| 1723 |
+
"loss": 0.3427,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.18576552765716442,
|
| 1728 |
+
"grad_norm": 0.26813021302223206,
|
| 1729 |
+
"learning_rate": 9.199822146616552e-05,
|
| 1730 |
+
"loss": 0.4148,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.186520672078535,
|
| 1735 |
+
"grad_norm": 0.3065304458141327,
|
| 1736 |
+
"learning_rate": 9.193352839727121e-05,
|
| 1737 |
+
"loss": 0.4015,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.1872758164999056,
|
| 1742 |
+
"grad_norm": 0.32816389203071594,
|
| 1743 |
+
"learning_rate": 9.186859780132164e-05,
|
| 1744 |
+
"loss": 0.4233,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.1880309609212762,
|
| 1749 |
+
"grad_norm": 0.3237447738647461,
|
| 1750 |
+
"learning_rate": 9.18034300461078e-05,
|
| 1751 |
+
"loss": 0.351,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.18878610534264678,
|
| 1756 |
+
"grad_norm": 0.3921673595905304,
|
| 1757 |
+
"learning_rate": 9.173802550076401e-05,
|
| 1758 |
+
"loss": 0.4465,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.18954124976401737,
|
| 1763 |
+
"grad_norm": 0.12883761525154114,
|
| 1764 |
+
"learning_rate": 9.167238453576589e-05,
|
| 1765 |
+
"loss": 0.3514,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.19029639418538796,
|
| 1770 |
+
"grad_norm": 0.14347058534622192,
|
| 1771 |
+
"learning_rate": 9.160650752292819e-05,
|
| 1772 |
+
"loss": 0.3831,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.19105153860675855,
|
| 1777 |
+
"grad_norm": 0.1370943933725357,
|
| 1778 |
+
"learning_rate": 9.154039483540273e-05,
|
| 1779 |
+
"loss": 0.3797,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.19180668302812914,
|
| 1784 |
+
"grad_norm": 0.1585707813501358,
|
| 1785 |
+
"learning_rate": 9.147404684767632e-05,
|
| 1786 |
+
"loss": 0.4072,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.1925618274494997,
|
| 1791 |
+
"grad_norm": 0.147821843624115,
|
| 1792 |
+
"learning_rate": 9.140746393556854e-05,
|
| 1793 |
+
"loss": 0.3441,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.1933169718708703,
|
| 1798 |
+
"grad_norm": 0.1582058221101761,
|
| 1799 |
+
"learning_rate": 9.134064647622972e-05,
|
| 1800 |
+
"loss": 0.4164,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.1940721162922409,
|
| 1805 |
+
"grad_norm": 0.1520204097032547,
|
| 1806 |
+
"learning_rate": 9.12735948481387e-05,
|
| 1807 |
+
"loss": 0.3704,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.19482726071361148,
|
| 1812 |
+
"grad_norm": 0.14902523159980774,
|
| 1813 |
+
"learning_rate": 9.120630943110077e-05,
|
| 1814 |
+
"loss": 0.4204,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.19558240513498207,
|
| 1819 |
+
"grad_norm": 0.14658547937870026,
|
| 1820 |
+
"learning_rate": 9.113879060624553e-05,
|
| 1821 |
+
"loss": 0.3435,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.19633754955635266,
|
| 1826 |
+
"grad_norm": 0.14122474193572998,
|
| 1827 |
+
"learning_rate": 9.107103875602459e-05,
|
| 1828 |
+
"loss": 0.3681,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.19709269397772325,
|
| 1833 |
+
"grad_norm": 0.14616741240024567,
|
| 1834 |
+
"learning_rate": 9.100305426420956e-05,
|
| 1835 |
+
"loss": 0.3931,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.19784783839909384,
|
| 1840 |
+
"grad_norm": 0.1556493043899536,
|
| 1841 |
+
"learning_rate": 9.093483751588983e-05,
|
| 1842 |
+
"loss": 0.3966,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.1986029828204644,
|
| 1847 |
+
"grad_norm": 0.1637788712978363,
|
| 1848 |
+
"learning_rate": 9.086638889747035e-05,
|
| 1849 |
+
"loss": 0.5167,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.199358127241835,
|
| 1854 |
+
"grad_norm": 0.1598958671092987,
|
| 1855 |
+
"learning_rate": 9.079770879666949e-05,
|
| 1856 |
+
"loss": 0.4257,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.20011327166320558,
|
| 1861 |
+
"grad_norm": 0.15921838581562042,
|
| 1862 |
+
"learning_rate": 9.072879760251679e-05,
|
| 1863 |
+
"loss": 0.4247,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.20086841608457617,
|
| 1868 |
+
"grad_norm": 0.16750189661979675,
|
| 1869 |
+
"learning_rate": 9.065965570535082e-05,
|
| 1870 |
+
"loss": 0.4249,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.20162356050594676,
|
| 1875 |
+
"grad_norm": 0.18144546449184418,
|
| 1876 |
+
"learning_rate": 9.059028349681694e-05,
|
| 1877 |
+
"loss": 0.5394,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.20237870492731735,
|
| 1882 |
+
"grad_norm": 0.16736812889575958,
|
| 1883 |
+
"learning_rate": 9.052068136986502e-05,
|
| 1884 |
+
"loss": 0.5119,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.20313384934868794,
|
| 1889 |
+
"grad_norm": 0.1700868159532547,
|
| 1890 |
+
"learning_rate": 9.045084971874738e-05,
|
| 1891 |
+
"loss": 0.4552,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.20388899377005854,
|
| 1896 |
+
"grad_norm": 0.17564022541046143,
|
| 1897 |
+
"learning_rate": 9.038078893901634e-05,
|
| 1898 |
+
"loss": 0.4344,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.2046441381914291,
|
| 1903 |
+
"grad_norm": 0.18228355050086975,
|
| 1904 |
+
"learning_rate": 9.031049942752215e-05,
|
| 1905 |
+
"loss": 0.4206,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.2053992826127997,
|
| 1910 |
+
"grad_norm": 0.17782603204250336,
|
| 1911 |
+
"learning_rate": 9.023998158241068e-05,
|
| 1912 |
+
"loss": 0.4786,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.20615442703417028,
|
| 1917 |
+
"grad_norm": 0.18378295004367828,
|
| 1918 |
+
"learning_rate": 9.016923580312113e-05,
|
| 1919 |
+
"loss": 0.443,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.20690957145554087,
|
| 1924 |
+
"grad_norm": 0.17299628257751465,
|
| 1925 |
+
"learning_rate": 9.009826249038387e-05,
|
| 1926 |
+
"loss": 0.3804,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.20766471587691146,
|
| 1931 |
+
"grad_norm": 0.19087707996368408,
|
| 1932 |
+
"learning_rate": 9.002706204621803e-05,
|
| 1933 |
+
"loss": 0.4698,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.20841986029828205,
|
| 1938 |
+
"grad_norm": 0.17627054452896118,
|
| 1939 |
+
"learning_rate": 8.995563487392932e-05,
|
| 1940 |
+
"loss": 0.3927,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.20917500471965264,
|
| 1945 |
+
"grad_norm": 0.19746743142604828,
|
| 1946 |
+
"learning_rate": 8.988398137810777e-05,
|
| 1947 |
+
"loss": 0.4765,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.20993014914102323,
|
| 1952 |
+
"grad_norm": 0.19492515921592712,
|
| 1953 |
+
"learning_rate": 8.981210196462533e-05,
|
| 1954 |
+
"loss": 0.4254,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.21068529356239382,
|
| 1959 |
+
"grad_norm": 0.19054411351680756,
|
| 1960 |
+
"learning_rate": 8.973999704063365e-05,
|
| 1961 |
+
"loss": 0.398,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.21144043798376438,
|
| 1966 |
+
"grad_norm": 0.202229306101799,
|
| 1967 |
+
"learning_rate": 8.966766701456177e-05,
|
| 1968 |
+
"loss": 0.5233,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.21219558240513497,
|
| 1973 |
+
"grad_norm": 0.20624679327011108,
|
| 1974 |
+
"learning_rate": 8.959511229611376e-05,
|
| 1975 |
+
"loss": 0.4411,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.21295072682650557,
|
| 1980 |
+
"grad_norm": 0.2044438272714615,
|
| 1981 |
+
"learning_rate": 8.952233329626647e-05,
|
| 1982 |
+
"loss": 0.4102,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.21370587124787616,
|
| 1987 |
+
"grad_norm": 0.20926257967948914,
|
| 1988 |
+
"learning_rate": 8.944933042726714e-05,
|
| 1989 |
+
"loss": 0.3872,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.21446101566924675,
|
| 1994 |
+
"grad_norm": 0.2206258326768875,
|
| 1995 |
+
"learning_rate": 8.937610410263109e-05,
|
| 1996 |
+
"loss": 0.4126,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.21521616009061734,
|
| 2001 |
+
"grad_norm": 0.23429769277572632,
|
| 2002 |
+
"learning_rate": 8.930265473713938e-05,
|
| 2003 |
+
"loss": 0.4453,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.21597130451198793,
|
| 2008 |
+
"grad_norm": 0.2304621934890747,
|
| 2009 |
+
"learning_rate": 8.922898274683644e-05,
|
| 2010 |
+
"loss": 0.4429,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.21672644893335852,
|
| 2015 |
+
"grad_norm": 0.23192839324474335,
|
| 2016 |
+
"learning_rate": 8.915508854902778e-05,
|
| 2017 |
+
"loss": 0.4737,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.21748159335472908,
|
| 2022 |
+
"grad_norm": 0.23144613206386566,
|
| 2023 |
+
"learning_rate": 8.908097256227749e-05,
|
| 2024 |
+
"loss": 0.382,
|
| 2025 |
+
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.21823673777609967,
|
| 2029 |
+
"grad_norm": 0.24735011160373688,
|
| 2030 |
+
"learning_rate": 8.900663520640604e-05,
|
| 2031 |
+
"loss": 0.3929,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.21899188219747026,
|
| 2036 |
+
"grad_norm": 0.267395555973053,
|
| 2037 |
+
"learning_rate": 8.893207690248776e-05,
|
| 2038 |
+
"loss": 0.4586,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.21974702661884085,
|
| 2043 |
+
"grad_norm": 0.2836948335170746,
|
| 2044 |
+
"learning_rate": 8.885729807284856e-05,
|
| 2045 |
+
"loss": 0.5218,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.22050217104021144,
|
| 2050 |
+
"grad_norm": 0.2509090304374695,
|
| 2051 |
+
"learning_rate": 8.878229914106342e-05,
|
| 2052 |
+
"loss": 0.4114,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.22125731546158203,
|
| 2057 |
+
"grad_norm": 0.27369990944862366,
|
| 2058 |
+
"learning_rate": 8.870708053195413e-05,
|
| 2059 |
+
"loss": 0.3736,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.22201245988295262,
|
| 2064 |
+
"grad_norm": 0.279341459274292,
|
| 2065 |
+
"learning_rate": 8.863164267158678e-05,
|
| 2066 |
+
"loss": 0.3845,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.2227676043043232,
|
| 2071 |
+
"grad_norm": 0.27738478779792786,
|
| 2072 |
+
"learning_rate": 8.855598598726939e-05,
|
| 2073 |
+
"loss": 0.3331,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.22352274872569378,
|
| 2078 |
+
"grad_norm": 0.32042670249938965,
|
| 2079 |
+
"learning_rate": 8.848011090754947e-05,
|
| 2080 |
+
"loss": 0.3943,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.22427789314706437,
|
| 2085 |
+
"grad_norm": 0.2977651059627533,
|
| 2086 |
+
"learning_rate": 8.840401786221159e-05,
|
| 2087 |
+
"loss": 0.3701,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.22503303756843496,
|
| 2092 |
+
"grad_norm": 0.35676780343055725,
|
| 2093 |
+
"learning_rate": 8.832770728227502e-05,
|
| 2094 |
+
"loss": 0.4728,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.22578818198980555,
|
| 2099 |
+
"grad_norm": 0.3656991720199585,
|
| 2100 |
+
"learning_rate": 8.825117959999116e-05,
|
| 2101 |
+
"loss": 0.3662,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.22654332641117614,
|
| 2106 |
+
"grad_norm": 0.36816850304603577,
|
| 2107 |
+
"learning_rate": 8.817443524884119e-05,
|
| 2108 |
+
"loss": 0.3644,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.22729847083254673,
|
| 2113 |
+
"grad_norm": 0.12952867150306702,
|
| 2114 |
+
"learning_rate": 8.809747466353356e-05,
|
| 2115 |
+
"loss": 0.2991,
|
| 2116 |
+
"step": 301
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.22805361525391732,
|
| 2120 |
+
"grad_norm": 0.1346244215965271,
|
| 2121 |
+
"learning_rate": 8.802029828000156e-05,
|
| 2122 |
+
"loss": 0.3154,
|
| 2123 |
+
"step": 302
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.2288087596752879,
|
| 2127 |
+
"grad_norm": 0.15575996041297913,
|
| 2128 |
+
"learning_rate": 8.794290653540084e-05,
|
| 2129 |
+
"loss": 0.4171,
|
| 2130 |
+
"step": 303
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.22956390409665847,
|
| 2134 |
+
"grad_norm": 0.1542641818523407,
|
| 2135 |
+
"learning_rate": 8.7865299868107e-05,
|
| 2136 |
+
"loss": 0.3851,
|
| 2137 |
+
"step": 304
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.23031904851802906,
|
| 2141 |
+
"grad_norm": 0.16775798797607422,
|
| 2142 |
+
"learning_rate": 8.778747871771292e-05,
|
| 2143 |
+
"loss": 0.3872,
|
| 2144 |
+
"step": 305
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.23107419293939965,
|
| 2148 |
+
"grad_norm": 0.15936799347400665,
|
| 2149 |
+
"learning_rate": 8.770944352502648e-05,
|
| 2150 |
+
"loss": 0.3998,
|
| 2151 |
+
"step": 306
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.23182933736077024,
|
| 2155 |
+
"grad_norm": 0.16513392329216003,
|
| 2156 |
+
"learning_rate": 8.763119473206794e-05,
|
| 2157 |
+
"loss": 0.4005,
|
| 2158 |
+
"step": 307
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.23258448178214083,
|
| 2162 |
+
"grad_norm": 0.14965298771858215,
|
| 2163 |
+
"learning_rate": 8.755273278206749e-05,
|
| 2164 |
+
"loss": 0.3792,
|
| 2165 |
+
"step": 308
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.23333962620351142,
|
| 2169 |
+
"grad_norm": 0.1585433930158615,
|
| 2170 |
+
"learning_rate": 8.74740581194627e-05,
|
| 2171 |
+
"loss": 0.4291,
|
| 2172 |
+
"step": 309
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.23409477062488201,
|
| 2176 |
+
"grad_norm": 0.16825465857982635,
|
| 2177 |
+
"learning_rate": 8.739517118989605e-05,
|
| 2178 |
+
"loss": 0.4434,
|
| 2179 |
+
"step": 310
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.2348499150462526,
|
| 2183 |
+
"grad_norm": 0.16293483972549438,
|
| 2184 |
+
"learning_rate": 8.731607244021236e-05,
|
| 2185 |
+
"loss": 0.4481,
|
| 2186 |
+
"step": 311
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.2356050594676232,
|
| 2190 |
+
"grad_norm": 0.15974049270153046,
|
| 2191 |
+
"learning_rate": 8.723676231845626e-05,
|
| 2192 |
+
"loss": 0.4557,
|
| 2193 |
+
"step": 312
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.23636020388899376,
|
| 2197 |
+
"grad_norm": 0.1649303436279297,
|
| 2198 |
+
"learning_rate": 8.715724127386972e-05,
|
| 2199 |
+
"loss": 0.4451,
|
| 2200 |
+
"step": 313
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 0.23711534831036435,
|
| 2204 |
+
"grad_norm": 0.16639627516269684,
|
| 2205 |
+
"learning_rate": 8.70775097568894e-05,
|
| 2206 |
+
"loss": 0.4518,
|
| 2207 |
+
"step": 314
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 0.23787049273173494,
|
| 2211 |
+
"grad_norm": 0.17083673179149628,
|
| 2212 |
+
"learning_rate": 8.69975682191442e-05,
|
| 2213 |
+
"loss": 0.3745,
|
| 2214 |
+
"step": 315
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 0.23862563715310553,
|
| 2218 |
+
"grad_norm": 0.16381201148033142,
|
| 2219 |
+
"learning_rate": 8.691741711345263e-05,
|
| 2220 |
+
"loss": 0.3922,
|
| 2221 |
+
"step": 316
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 0.23938078157447612,
|
| 2225 |
+
"grad_norm": 0.17072418332099915,
|
| 2226 |
+
"learning_rate": 8.683705689382024e-05,
|
| 2227 |
+
"loss": 0.3563,
|
| 2228 |
+
"step": 317
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 0.2401359259958467,
|
| 2232 |
+
"grad_norm": 0.1824284940958023,
|
| 2233 |
+
"learning_rate": 8.675648801543718e-05,
|
| 2234 |
+
"loss": 0.432,
|
| 2235 |
+
"step": 318
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.2408910704172173,
|
| 2239 |
+
"grad_norm": 0.17872655391693115,
|
| 2240 |
+
"learning_rate": 8.667571093467541e-05,
|
| 2241 |
+
"loss": 0.4294,
|
| 2242 |
+
"step": 319
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.2416462148385879,
|
| 2246 |
+
"grad_norm": 0.17728659510612488,
|
| 2247 |
+
"learning_rate": 8.659472610908627e-05,
|
| 2248 |
+
"loss": 0.3963,
|
| 2249 |
+
"step": 320
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.24240135925995845,
|
| 2253 |
+
"grad_norm": 0.18014661967754364,
|
| 2254 |
+
"learning_rate": 8.651353399739787e-05,
|
| 2255 |
+
"loss": 0.4614,
|
| 2256 |
+
"step": 321
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 0.24315650368132904,
|
| 2260 |
+
"grad_norm": 0.18057285249233246,
|
| 2261 |
+
"learning_rate": 8.643213505951242e-05,
|
| 2262 |
+
"loss": 0.4134,
|
| 2263 |
+
"step": 322
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 0.24391164810269964,
|
| 2267 |
+
"grad_norm": 0.19068454205989838,
|
| 2268 |
+
"learning_rate": 8.635052975650369e-05,
|
| 2269 |
+
"loss": 0.539,
|
| 2270 |
+
"step": 323
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 0.24466679252407023,
|
| 2274 |
+
"grad_norm": 0.18311984837055206,
|
| 2275 |
+
"learning_rate": 8.626871855061438e-05,
|
| 2276 |
+
"loss": 0.3847,
|
| 2277 |
+
"step": 324
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.24542193694544082,
|
| 2281 |
+
"grad_norm": 0.172931507229805,
|
| 2282 |
+
"learning_rate": 8.618670190525352e-05,
|
| 2283 |
+
"loss": 0.3835,
|
| 2284 |
+
"step": 325
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.2461770813668114,
|
| 2288 |
+
"grad_norm": 0.18892034888267517,
|
| 2289 |
+
"learning_rate": 8.610448028499376e-05,
|
| 2290 |
+
"loss": 0.4231,
|
| 2291 |
+
"step": 326
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.246932225788182,
|
| 2295 |
+
"grad_norm": 0.19887331128120422,
|
| 2296 |
+
"learning_rate": 8.602205415556889e-05,
|
| 2297 |
+
"loss": 0.4835,
|
| 2298 |
+
"step": 327
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.2476873702095526,
|
| 2302 |
+
"grad_norm": 0.18918727338314056,
|
| 2303 |
+
"learning_rate": 8.593942398387105e-05,
|
| 2304 |
+
"loss": 0.4285,
|
| 2305 |
+
"step": 328
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.24844251463092315,
|
| 2309 |
+
"grad_norm": 0.19010977447032928,
|
| 2310 |
+
"learning_rate": 8.585659023794818e-05,
|
| 2311 |
+
"loss": 0.4059,
|
| 2312 |
+
"step": 329
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.24919765905229374,
|
| 2316 |
+
"grad_norm": 0.1906062811613083,
|
| 2317 |
+
"learning_rate": 8.577355338700132e-05,
|
| 2318 |
+
"loss": 0.423,
|
| 2319 |
+
"step": 330
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.24995280347366433,
|
| 2323 |
+
"grad_norm": 0.1999729573726654,
|
| 2324 |
+
"learning_rate": 8.569031390138202e-05,
|
| 2325 |
+
"loss": 0.4482,
|
| 2326 |
+
"step": 331
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.2507079478950349,
|
| 2330 |
+
"grad_norm": 0.20304431021213531,
|
| 2331 |
+
"learning_rate": 8.560687225258958e-05,
|
| 2332 |
+
"loss": 0.3917,
|
| 2333 |
+
"step": 332
|
| 2334 |
+
}
|
| 2335 |
+
],
|
| 2336 |
+
"logging_steps": 1,
|
| 2337 |
+
"max_steps": 1325,
|
| 2338 |
+
"num_input_tokens_seen": 0,
|
| 2339 |
+
"num_train_epochs": 2,
|
| 2340 |
+
"save_steps": 332,
|
| 2341 |
+
"stateful_callbacks": {
|
| 2342 |
+
"TrainerControl": {
|
| 2343 |
+
"args": {
|
| 2344 |
+
"should_epoch_stop": false,
|
| 2345 |
+
"should_evaluate": false,
|
| 2346 |
+
"should_log": false,
|
| 2347 |
+
"should_save": true,
|
| 2348 |
+
"should_training_stop": false
|
| 2349 |
+
},
|
| 2350 |
+
"attributes": {}
|
| 2351 |
+
}
|
| 2352 |
+
},
|
| 2353 |
+
"total_flos": 4.277596091056128e+17,
|
| 2354 |
+
"train_batch_size": 4,
|
| 2355 |
+
"trial_name": null,
|
| 2356 |
+
"trial_params": null
|
| 2357 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b05f71a1575935b665b4b5a05a2d273b47d70fd6a4879aca91b7d84d7ee0a29c
|
| 3 |
+
size 6776
|