Visual Document Retrieval
ColPali
Safetensors
English
French
qwen3_vl
vidore
colqwen3
late-interaction
multimodal
retrieval
Instructions to use Verm1ion/ColTurk-VDR-Qwen3VL-4B-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ColPali
How to use Verm1ion/ColTurk-VDR-Qwen3VL-4B-v1.0 with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- adapter/README.md +206 -0
- adapter/adapter_config.json +42 -0
- adapter/adapter_model.safetensors +3 -0
- adapter/optimizer.pt +3 -0
- adapter/rng_state.pth +3 -0
- adapter/scheduler.pt +3 -0
- adapter/trainer_state.json +734 -0
- adapter/training_args.bin +3 -0
adapter/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3-VL-4B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:Qwen/Qwen3-VL-4B-Instruct
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- 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. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
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).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.19.1
|
adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen3-VL-4B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 22 |
+
"lora_ga_config": null,
|
| 23 |
+
"megatron_config": null,
|
| 24 |
+
"megatron_core": "megatron.core",
|
| 25 |
+
"modules_to_save": [
|
| 26 |
+
"custom_text_proj"
|
| 27 |
+
],
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.19.1",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 32,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": "(.*(language_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$)",
|
| 35 |
+
"target_parameters": null,
|
| 36 |
+
"task_type": "FEATURE_EXTRACTION",
|
| 37 |
+
"trainable_token_indices": null,
|
| 38 |
+
"use_bdlora": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:841be022c53e591d0762b4d74c0f5d880c08956219cf589214f585c7597fd8d6
|
| 3 |
+
size 265952696
|
adapter/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d51ae16241a9d399845ec0b6232d6479bcfa1ed533fe2a73ea2b0f13a2f3e7dd
|
| 3 |
+
size 532188177
|
adapter/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c418b90b212432a41e5e55c42b8f23c9748fbeb1b5ba828b010a2b849429386
|
| 3 |
+
size 14645
|
adapter/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c5f621fd4debd56c70e9bde485e7fdf9feb18ade96952c02c444cafd93e969c
|
| 3 |
+
size 1465
|
adapter/trainer_state.json
ADDED
|
@@ -0,0 +1,734 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.2954537060974259,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0029545370609742588,
|
| 14 |
+
"grad_norm": 2.833221197128296,
|
| 15 |
+
"learning_rate": 4.5e-05,
|
| 16 |
+
"loss": 0.6058326721191406,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0059090741219485175,
|
| 21 |
+
"grad_norm": 3.970088005065918,
|
| 22 |
+
"learning_rate": 4.986666666666667e-05,
|
| 23 |
+
"loss": 0.4907561779022217,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.008863611182922776,
|
| 28 |
+
"grad_norm": 2.317507266998291,
|
| 29 |
+
"learning_rate": 4.971851851851852e-05,
|
| 30 |
+
"loss": 0.4133129596710205,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.011818148243897035,
|
| 35 |
+
"grad_norm": 2.8210597038269043,
|
| 36 |
+
"learning_rate": 4.9570370370370374e-05,
|
| 37 |
+
"loss": 0.34064426422119143,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.014772685304871294,
|
| 42 |
+
"grad_norm": 1.50558340549469,
|
| 43 |
+
"learning_rate": 4.942222222222223e-05,
|
| 44 |
+
"loss": 0.29927446842193606,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.017727222365845553,
|
| 49 |
+
"grad_norm": 1.7299937009811401,
|
| 50 |
+
"learning_rate": 4.927407407407408e-05,
|
| 51 |
+
"loss": 0.27862727642059326,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.02068175942681981,
|
| 56 |
+
"grad_norm": 1.3710973262786865,
|
| 57 |
+
"learning_rate": 4.912592592592593e-05,
|
| 58 |
+
"loss": 0.2401745080947876,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.02363629648779407,
|
| 63 |
+
"grad_norm": 1.1095554828643799,
|
| 64 |
+
"learning_rate": 4.897777777777778e-05,
|
| 65 |
+
"loss": 0.2357936382293701,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.026590833548768327,
|
| 70 |
+
"grad_norm": 2.0169742107391357,
|
| 71 |
+
"learning_rate": 4.882962962962963e-05,
|
| 72 |
+
"loss": 0.2158350706100464,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.029545370609742588,
|
| 77 |
+
"grad_norm": 1.8902324438095093,
|
| 78 |
+
"learning_rate": 4.8681481481481485e-05,
|
| 79 |
+
"loss": 0.21283884048461915,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.032499907670716845,
|
| 84 |
+
"grad_norm": 4.220162868499756,
|
| 85 |
+
"learning_rate": 4.853333333333334e-05,
|
| 86 |
+
"loss": 0.2145336627960205,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.035454444731691105,
|
| 91 |
+
"grad_norm": 2.21907901763916,
|
| 92 |
+
"learning_rate": 4.838518518518519e-05,
|
| 93 |
+
"loss": 0.2089240312576294,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.03840898179266536,
|
| 98 |
+
"grad_norm": 2.4063167572021484,
|
| 99 |
+
"learning_rate": 4.8237037037037045e-05,
|
| 100 |
+
"loss": 0.19337594509124756,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.04136351885363962,
|
| 105 |
+
"grad_norm": 1.7236549854278564,
|
| 106 |
+
"learning_rate": 4.808888888888889e-05,
|
| 107 |
+
"loss": 0.19078925848007203,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.04431805591461388,
|
| 112 |
+
"grad_norm": 1.5060020685195923,
|
| 113 |
+
"learning_rate": 4.7940740740740744e-05,
|
| 114 |
+
"loss": 0.19750164747238158,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.04727259297558814,
|
| 119 |
+
"grad_norm": 1.5462108850479126,
|
| 120 |
+
"learning_rate": 4.77925925925926e-05,
|
| 121 |
+
"loss": 0.1754060983657837,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.050227130036562394,
|
| 126 |
+
"grad_norm": 2.9146463871002197,
|
| 127 |
+
"learning_rate": 4.764444444444445e-05,
|
| 128 |
+
"loss": 0.17379658222198485,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.053181667097536654,
|
| 133 |
+
"grad_norm": 1.205565094947815,
|
| 134 |
+
"learning_rate": 4.74962962962963e-05,
|
| 135 |
+
"loss": 0.17304102182388306,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.056136204158510915,
|
| 140 |
+
"grad_norm": 1.3237217664718628,
|
| 141 |
+
"learning_rate": 4.7348148148148156e-05,
|
| 142 |
+
"loss": 0.19153650999069213,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.059090741219485175,
|
| 147 |
+
"grad_norm": 1.7453283071517944,
|
| 148 |
+
"learning_rate": 4.72e-05,
|
| 149 |
+
"loss": 0.17861543893814086,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.06204527828045943,
|
| 154 |
+
"grad_norm": 2.229522228240967,
|
| 155 |
+
"learning_rate": 4.7051851851851855e-05,
|
| 156 |
+
"loss": 0.1866261124610901,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.06499981534143369,
|
| 161 |
+
"grad_norm": 1.2653534412384033,
|
| 162 |
+
"learning_rate": 4.690370370370371e-05,
|
| 163 |
+
"loss": 0.1543294072151184,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.06795435240240795,
|
| 168 |
+
"grad_norm": 1.3780829906463623,
|
| 169 |
+
"learning_rate": 4.675555555555556e-05,
|
| 170 |
+
"loss": 0.169802463054657,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.07090888946338221,
|
| 175 |
+
"grad_norm": 1.4371570348739624,
|
| 176 |
+
"learning_rate": 4.660740740740741e-05,
|
| 177 |
+
"loss": 0.1754474639892578,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.07386342652435647,
|
| 182 |
+
"grad_norm": 18.6015625,
|
| 183 |
+
"learning_rate": 4.645925925925926e-05,
|
| 184 |
+
"loss": 0.1724642515182495,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.07681796358533072,
|
| 189 |
+
"grad_norm": 2.5677523612976074,
|
| 190 |
+
"learning_rate": 4.6311111111111113e-05,
|
| 191 |
+
"loss": 0.16112465858459474,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.07977250064630498,
|
| 196 |
+
"grad_norm": 1.9980823993682861,
|
| 197 |
+
"learning_rate": 4.6162962962962966e-05,
|
| 198 |
+
"loss": 0.18335959911346436,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.08272703770727924,
|
| 203 |
+
"grad_norm": 1.2077431678771973,
|
| 204 |
+
"learning_rate": 4.601481481481482e-05,
|
| 205 |
+
"loss": 0.17765412330627442,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.0856815747682535,
|
| 210 |
+
"grad_norm": 1.7410666942596436,
|
| 211 |
+
"learning_rate": 4.5866666666666666e-05,
|
| 212 |
+
"loss": 0.15704294443130493,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.08863611182922776,
|
| 217 |
+
"grad_norm": 3.203758478164673,
|
| 218 |
+
"learning_rate": 4.571851851851852e-05,
|
| 219 |
+
"loss": 0.16737524271011353,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.09159064889020202,
|
| 224 |
+
"grad_norm": 1.4441914558410645,
|
| 225 |
+
"learning_rate": 4.557037037037037e-05,
|
| 226 |
+
"loss": 0.16653298139572142,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.09454518595117628,
|
| 231 |
+
"grad_norm": 2.038508892059326,
|
| 232 |
+
"learning_rate": 4.5422222222222225e-05,
|
| 233 |
+
"loss": 0.17271809577941893,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.09749972301215053,
|
| 238 |
+
"grad_norm": 2.8530397415161133,
|
| 239 |
+
"learning_rate": 4.527407407407407e-05,
|
| 240 |
+
"loss": 0.174771511554718,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.10045426007312479,
|
| 245 |
+
"grad_norm": 1.3839176893234253,
|
| 246 |
+
"learning_rate": 4.5125925925925924e-05,
|
| 247 |
+
"loss": 0.1588329553604126,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.10340879713409905,
|
| 252 |
+
"grad_norm": 1.6686633825302124,
|
| 253 |
+
"learning_rate": 4.497777777777778e-05,
|
| 254 |
+
"loss": 0.1564006209373474,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.10636333419507331,
|
| 259 |
+
"grad_norm": 1.8551031351089478,
|
| 260 |
+
"learning_rate": 4.482962962962963e-05,
|
| 261 |
+
"loss": 0.15350520610809326,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.10931787125604757,
|
| 266 |
+
"grad_norm": 1.4116591215133667,
|
| 267 |
+
"learning_rate": 4.468148148148148e-05,
|
| 268 |
+
"loss": 0.14301124811172486,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.11227240831702183,
|
| 273 |
+
"grad_norm": 1.3294757604599,
|
| 274 |
+
"learning_rate": 4.4533333333333336e-05,
|
| 275 |
+
"loss": 0.1581111431121826,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.11522694537799609,
|
| 280 |
+
"grad_norm": 1.1157113313674927,
|
| 281 |
+
"learning_rate": 4.438518518518518e-05,
|
| 282 |
+
"loss": 0.15454559326171874,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.11818148243897035,
|
| 287 |
+
"grad_norm": 1.9910318851470947,
|
| 288 |
+
"learning_rate": 4.4237037037037035e-05,
|
| 289 |
+
"loss": 0.16136586666107178,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.1211360194999446,
|
| 294 |
+
"grad_norm": 3.034904718399048,
|
| 295 |
+
"learning_rate": 4.408888888888889e-05,
|
| 296 |
+
"loss": 0.13362436294555663,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.12409055656091886,
|
| 301 |
+
"grad_norm": 1.259322166442871,
|
| 302 |
+
"learning_rate": 4.394074074074074e-05,
|
| 303 |
+
"loss": 0.14962050914764405,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.12704509362189312,
|
| 308 |
+
"grad_norm": 1.715478539466858,
|
| 309 |
+
"learning_rate": 4.3792592592592594e-05,
|
| 310 |
+
"loss": 0.15777710676193238,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.12999963068286738,
|
| 315 |
+
"grad_norm": 3.123663902282715,
|
| 316 |
+
"learning_rate": 4.364444444444445e-05,
|
| 317 |
+
"loss": 0.1729123115539551,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.13295416774384164,
|
| 322 |
+
"grad_norm": 2.2047908306121826,
|
| 323 |
+
"learning_rate": 4.3496296296296294e-05,
|
| 324 |
+
"loss": 0.16192224025726318,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.1359087048048159,
|
| 329 |
+
"grad_norm": 1.2984117269515991,
|
| 330 |
+
"learning_rate": 4.334814814814815e-05,
|
| 331 |
+
"loss": 0.16143107414245605,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.13886324186579016,
|
| 336 |
+
"grad_norm": 2.490159511566162,
|
| 337 |
+
"learning_rate": 4.32e-05,
|
| 338 |
+
"loss": 0.16425319910049438,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.14181777892676442,
|
| 343 |
+
"grad_norm": 1.2689216136932373,
|
| 344 |
+
"learning_rate": 4.305185185185185e-05,
|
| 345 |
+
"loss": 0.15182640552520751,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.14477231598773868,
|
| 350 |
+
"grad_norm": 1.2135517597198486,
|
| 351 |
+
"learning_rate": 4.2903703703703706e-05,
|
| 352 |
+
"loss": 0.14787669181823732,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.14772685304871294,
|
| 357 |
+
"grad_norm": 1.5820362567901611,
|
| 358 |
+
"learning_rate": 4.275555555555556e-05,
|
| 359 |
+
"loss": 0.14555797576904297,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.1506813901096872,
|
| 364 |
+
"grad_norm": 1.2276184558868408,
|
| 365 |
+
"learning_rate": 4.2607407407407405e-05,
|
| 366 |
+
"loss": 0.16564297676086426,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.15363592717066143,
|
| 371 |
+
"grad_norm": 1.8572674989700317,
|
| 372 |
+
"learning_rate": 4.245925925925926e-05,
|
| 373 |
+
"loss": 0.1854600191116333,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.1565904642316357,
|
| 378 |
+
"grad_norm": 1.4520939588546753,
|
| 379 |
+
"learning_rate": 4.231111111111111e-05,
|
| 380 |
+
"loss": 0.14640001058578492,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.15954500129260996,
|
| 385 |
+
"grad_norm": 1.5253207683563232,
|
| 386 |
+
"learning_rate": 4.2162962962962964e-05,
|
| 387 |
+
"loss": 0.15389859676361084,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.16249953835358422,
|
| 392 |
+
"grad_norm": 1.3694510459899902,
|
| 393 |
+
"learning_rate": 4.201481481481482e-05,
|
| 394 |
+
"loss": 0.1426140546798706,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.16545407541455848,
|
| 399 |
+
"grad_norm": 1.6946223974227905,
|
| 400 |
+
"learning_rate": 4.186666666666667e-05,
|
| 401 |
+
"loss": 0.15633541345596313,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.16840861247553274,
|
| 406 |
+
"grad_norm": 1.165390133857727,
|
| 407 |
+
"learning_rate": 4.1718518518518516e-05,
|
| 408 |
+
"loss": 0.11482020616531372,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.171363149536507,
|
| 413 |
+
"grad_norm": 3.4787509441375732,
|
| 414 |
+
"learning_rate": 4.157037037037037e-05,
|
| 415 |
+
"loss": 0.14850080013275146,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.17431768659748126,
|
| 420 |
+
"grad_norm": 2.6960692405700684,
|
| 421 |
+
"learning_rate": 4.142222222222222e-05,
|
| 422 |
+
"loss": 0.142425799369812,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.17727222365845552,
|
| 427 |
+
"grad_norm": 1.5532925128936768,
|
| 428 |
+
"learning_rate": 4.1274074074074075e-05,
|
| 429 |
+
"loss": 0.14471248388290406,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.18022676071942978,
|
| 434 |
+
"grad_norm": 2.015765905380249,
|
| 435 |
+
"learning_rate": 4.112592592592593e-05,
|
| 436 |
+
"loss": 0.13730039596557617,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.18318129778040404,
|
| 441 |
+
"grad_norm": 1.6330431699752808,
|
| 442 |
+
"learning_rate": 4.097777777777778e-05,
|
| 443 |
+
"loss": 0.12331445217132568,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.1861358348413783,
|
| 448 |
+
"grad_norm": 1.678736686706543,
|
| 449 |
+
"learning_rate": 4.0829629629629634e-05,
|
| 450 |
+
"loss": 0.1559412360191345,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.18909037190235256,
|
| 455 |
+
"grad_norm": 2.326524019241333,
|
| 456 |
+
"learning_rate": 4.068148148148148e-05,
|
| 457 |
+
"loss": 0.1342020869255066,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.19204490896332682,
|
| 462 |
+
"grad_norm": 2.946491241455078,
|
| 463 |
+
"learning_rate": 4.0533333333333334e-05,
|
| 464 |
+
"loss": 0.14628241062164307,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.19499944602430105,
|
| 469 |
+
"grad_norm": 1.5995780229568481,
|
| 470 |
+
"learning_rate": 4.038518518518519e-05,
|
| 471 |
+
"loss": 0.11631155014038086,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.19795398308527531,
|
| 476 |
+
"grad_norm": 1.0670708417892456,
|
| 477 |
+
"learning_rate": 4.023703703703704e-05,
|
| 478 |
+
"loss": 0.1583050012588501,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.20090852014624958,
|
| 483 |
+
"grad_norm": 0.865008533000946,
|
| 484 |
+
"learning_rate": 4.008888888888889e-05,
|
| 485 |
+
"loss": 0.11903636455535889,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.20386305720722384,
|
| 490 |
+
"grad_norm": 6.1988844871521,
|
| 491 |
+
"learning_rate": 3.9940740740740746e-05,
|
| 492 |
+
"loss": 0.15114530324935913,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.2068175942681981,
|
| 497 |
+
"grad_norm": 1.0600031614303589,
|
| 498 |
+
"learning_rate": 3.979259259259259e-05,
|
| 499 |
+
"loss": 0.14667139053344727,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.20977213132917236,
|
| 504 |
+
"grad_norm": 1.4827007055282593,
|
| 505 |
+
"learning_rate": 3.9644444444444445e-05,
|
| 506 |
+
"loss": 0.14418727159500122,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.21272666839014662,
|
| 511 |
+
"grad_norm": 1.216367483139038,
|
| 512 |
+
"learning_rate": 3.94962962962963e-05,
|
| 513 |
+
"loss": 0.16398065090179442,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.21568120545112088,
|
| 518 |
+
"grad_norm": 1.939950704574585,
|
| 519 |
+
"learning_rate": 3.934814814814815e-05,
|
| 520 |
+
"loss": 0.15566943883895873,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.21863574251209514,
|
| 525 |
+
"grad_norm": 1.0614118576049805,
|
| 526 |
+
"learning_rate": 3.9200000000000004e-05,
|
| 527 |
+
"loss": 0.14201202392578124,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.2215902795730694,
|
| 532 |
+
"grad_norm": 1.284617304801941,
|
| 533 |
+
"learning_rate": 3.905185185185186e-05,
|
| 534 |
+
"loss": 0.15723674297332763,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.22454481663404366,
|
| 539 |
+
"grad_norm": 1.0203224420547485,
|
| 540 |
+
"learning_rate": 3.8903703703703703e-05,
|
| 541 |
+
"loss": 0.15283368825912474,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.22749935369501792,
|
| 546 |
+
"grad_norm": 2.668447494506836,
|
| 547 |
+
"learning_rate": 3.8755555555555556e-05,
|
| 548 |
+
"loss": 0.13261605501174928,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.23045389075599218,
|
| 553 |
+
"grad_norm": 0.8986021280288696,
|
| 554 |
+
"learning_rate": 3.860740740740741e-05,
|
| 555 |
+
"loss": 0.1298680782318115,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.23340842781696644,
|
| 560 |
+
"grad_norm": 0.9000882506370544,
|
| 561 |
+
"learning_rate": 3.845925925925926e-05,
|
| 562 |
+
"loss": 0.13043410778045655,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.2363629648779407,
|
| 567 |
+
"grad_norm": 1.3062238693237305,
|
| 568 |
+
"learning_rate": 3.8311111111111115e-05,
|
| 569 |
+
"loss": 0.12488116025924682,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.23931750193891493,
|
| 574 |
+
"grad_norm": 1.8721864223480225,
|
| 575 |
+
"learning_rate": 3.816296296296297e-05,
|
| 576 |
+
"loss": 0.16045504808425903,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.2422720389998892,
|
| 581 |
+
"grad_norm": 1.8021628856658936,
|
| 582 |
+
"learning_rate": 3.8014814814814815e-05,
|
| 583 |
+
"loss": 0.1305558681488037,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.24522657606086345,
|
| 588 |
+
"grad_norm": 1.973920226097107,
|
| 589 |
+
"learning_rate": 3.786666666666667e-05,
|
| 590 |
+
"loss": 0.17081881761550904,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.24818111312183772,
|
| 595 |
+
"grad_norm": 1.8087708950042725,
|
| 596 |
+
"learning_rate": 3.771851851851852e-05,
|
| 597 |
+
"loss": 0.1436525821685791,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.251135650182812,
|
| 602 |
+
"grad_norm": 1.2119991779327393,
|
| 603 |
+
"learning_rate": 3.7570370370370374e-05,
|
| 604 |
+
"loss": 0.13348952531814576,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.25409018724378624,
|
| 609 |
+
"grad_norm": 3.290924549102783,
|
| 610 |
+
"learning_rate": 3.742222222222223e-05,
|
| 611 |
+
"loss": 0.14319207668304443,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.2570447243047605,
|
| 616 |
+
"grad_norm": 2.480170965194702,
|
| 617 |
+
"learning_rate": 3.727407407407408e-05,
|
| 618 |
+
"loss": 0.13599660396575927,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.25999926136573476,
|
| 623 |
+
"grad_norm": 1.5772013664245605,
|
| 624 |
+
"learning_rate": 3.7125925925925926e-05,
|
| 625 |
+
"loss": 0.14303747415542603,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.262953798426709,
|
| 630 |
+
"grad_norm": 1.465206503868103,
|
| 631 |
+
"learning_rate": 3.697777777777778e-05,
|
| 632 |
+
"loss": 0.12858752012252808,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.2659083354876833,
|
| 637 |
+
"grad_norm": 1.1226439476013184,
|
| 638 |
+
"learning_rate": 3.682962962962963e-05,
|
| 639 |
+
"loss": 0.13488395214080812,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.26886287254865754,
|
| 644 |
+
"grad_norm": 1.6345360279083252,
|
| 645 |
+
"learning_rate": 3.6681481481481485e-05,
|
| 646 |
+
"loss": 0.13654342889785767,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.2718174096096318,
|
| 651 |
+
"grad_norm": 1.3631547689437866,
|
| 652 |
+
"learning_rate": 3.653333333333334e-05,
|
| 653 |
+
"loss": 0.13675733804702758,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.27477194667060606,
|
| 658 |
+
"grad_norm": 1.5883088111877441,
|
| 659 |
+
"learning_rate": 3.638518518518519e-05,
|
| 660 |
+
"loss": 0.15801552534103394,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.2777264837315803,
|
| 665 |
+
"grad_norm": 0.7534575462341309,
|
| 666 |
+
"learning_rate": 3.623703703703704e-05,
|
| 667 |
+
"loss": 0.11741328239440918,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.2806810207925546,
|
| 672 |
+
"grad_norm": 1.931433916091919,
|
| 673 |
+
"learning_rate": 3.608888888888889e-05,
|
| 674 |
+
"loss": 0.14444713592529296,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.28363555785352884,
|
| 679 |
+
"grad_norm": 1.615752100944519,
|
| 680 |
+
"learning_rate": 3.5940740740740743e-05,
|
| 681 |
+
"loss": 0.17055082321166992,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.2865900949145031,
|
| 686 |
+
"grad_norm": 1.5940306186676025,
|
| 687 |
+
"learning_rate": 3.5792592592592596e-05,
|
| 688 |
+
"loss": 0.14255964756011963,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.28954463197547736,
|
| 693 |
+
"grad_norm": 2.5372769832611084,
|
| 694 |
+
"learning_rate": 3.564444444444445e-05,
|
| 695 |
+
"loss": 0.13338980674743653,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.2924991690364516,
|
| 700 |
+
"grad_norm": 3.1546213626861572,
|
| 701 |
+
"learning_rate": 3.54962962962963e-05,
|
| 702 |
+
"loss": 0.128484046459198,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.2954537060974259,
|
| 707 |
+
"grad_norm": 2.6247341632843018,
|
| 708 |
+
"learning_rate": 3.5348148148148156e-05,
|
| 709 |
+
"loss": 0.15008442401885985,
|
| 710 |
+
"step": 1000
|
| 711 |
+
}
|
| 712 |
+
],
|
| 713 |
+
"logging_steps": 10,
|
| 714 |
+
"max_steps": 3385,
|
| 715 |
+
"num_input_tokens_seen": 0,
|
| 716 |
+
"num_train_epochs": 1,
|
| 717 |
+
"save_steps": 250,
|
| 718 |
+
"stateful_callbacks": {
|
| 719 |
+
"TrainerControl": {
|
| 720 |
+
"args": {
|
| 721 |
+
"should_epoch_stop": false,
|
| 722 |
+
"should_evaluate": false,
|
| 723 |
+
"should_log": false,
|
| 724 |
+
"should_save": true,
|
| 725 |
+
"should_training_stop": false
|
| 726 |
+
},
|
| 727 |
+
"attributes": {}
|
| 728 |
+
}
|
| 729 |
+
},
|
| 730 |
+
"total_flos": 5.971478765989939e+17,
|
| 731 |
+
"train_batch_size": 2,
|
| 732 |
+
"trial_name": null,
|
| 733 |
+
"trial_params": null
|
| 734 |
+
}
|
adapter/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f8909f5b320cd892e1bfe5a065a536c82a1d4eba942fa00c524bf1bbb016ef2
|
| 3 |
+
size 5265
|