Instructions to use cimol/94bee815-bb95-47e6-835f-ad38135a2860 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/94bee815-bb95-47e6-835f-ad38135a2860 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/5cf4792e-00af-4d5f-b922-4c7d5237f306") model = PeftModel.from_pretrained(base_model, "cimol/94bee815-bb95-47e6-835f-ad38135a2860") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +204 -0
- adapter_config.json +34 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +3 -0
- config.json +32 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +46 -0
- training_args.bin +3 -0
README.md
ADDED
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: samoline/5cf4792e-00af-4d5f-b922-4c7d5237f306
|
| 4 |
+
tags:
|
| 5 |
+
- axolotl
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
model-index:
|
| 8 |
+
- name: 94bee815-bb95-47e6-835f-ad38135a2860
|
| 9 |
+
results: []
|
| 10 |
+
---
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| 11 |
+
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| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
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| 15 |
+
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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| 16 |
+
<details><summary>See axolotl config</summary>
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| 17 |
+
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| 18 |
+
axolotl version: `0.4.1`
|
| 19 |
+
```yaml
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| 20 |
+
adapter: lora
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| 21 |
+
base_model: samoline/5cf4792e-00af-4d5f-b922-4c7d5237f306
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| 22 |
+
bf16: auto
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| 23 |
+
chat_template: llama3
|
| 24 |
+
dataloader_num_workers: 8
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| 25 |
+
dataset_prepared_path: null
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| 26 |
+
datasets:
|
| 27 |
+
- data_files:
|
| 28 |
+
- 4b98334ce710802c_train_data.json
|
| 29 |
+
ds_type: json
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| 30 |
+
format: custom
|
| 31 |
+
path: /workspace/input_data/
|
| 32 |
+
type:
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| 33 |
+
field_input: input
|
| 34 |
+
field_instruction: instruct
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| 35 |
+
field_output: output
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| 36 |
+
format: '{instruction} {input}'
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| 37 |
+
no_input_format: '{instruction}'
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| 38 |
+
system_format: '{system}'
|
| 39 |
+
system_prompt: ''
|
| 40 |
+
debug: null
|
| 41 |
+
deepspeed: null
|
| 42 |
+
early_stopping_patience: null
|
| 43 |
+
eval_max_new_tokens: 128
|
| 44 |
+
eval_table_size: null
|
| 45 |
+
evals_per_epoch: 4
|
| 46 |
+
flash_attention: true
|
| 47 |
+
fp16: null
|
| 48 |
+
fsdp: null
|
| 49 |
+
fsdp_config: null
|
| 50 |
+
gradient_accumulation_steps: 1
|
| 51 |
+
gradient_checkpointing: true
|
| 52 |
+
group_by_length: false
|
| 53 |
+
hub_model_id: cimol/94bee815-bb95-47e6-835f-ad38135a2860
|
| 54 |
+
hub_repo: null
|
| 55 |
+
hub_strategy: end
|
| 56 |
+
hub_token: null
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| 57 |
+
learning_rate: 0.0001
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| 58 |
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load_in_4bit: false
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| 59 |
+
load_in_8bit: false
|
| 60 |
+
local_rank: null
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| 61 |
+
logging_steps: 1
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| 62 |
+
lora_alpha: 32
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| 63 |
+
lora_dropout: 0.15
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| 64 |
+
lora_fan_in_fan_out: null
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| 65 |
+
lora_model_dir: null
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| 66 |
+
lora_r: 32
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| 67 |
+
lora_target_linear: true
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| 68 |
+
loraplus_lr_embedding: 1.0e-06
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| 69 |
+
loraplus_lr_ratio: 16
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| 70 |
+
lr_scheduler: cosine
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| 71 |
+
max_grad_norm: 1
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| 72 |
+
max_steps: 100
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| 73 |
+
micro_batch_size: 8
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| 74 |
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mlflow_experiment_name: /tmp/4b98334ce710802c_train_data.json
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| 75 |
+
model_type: AutoModelForCausalLM
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| 76 |
+
num_epochs: 20
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| 77 |
+
optim_args:
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| 78 |
+
adam_beta1: 0.9
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| 79 |
+
adam_beta2: 0.999
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| 80 |
+
adam_epsilon: 1e-8
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| 81 |
+
optimizer: adamw_torch_fused
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| 82 |
+
output_dir: miner_id_24
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| 83 |
+
pad_to_sequence_len: true
|
| 84 |
+
resume_from_checkpoint: null
|
| 85 |
+
s2_attention: null
|
| 86 |
+
sample_packing: false
|
| 87 |
+
saves_per_epoch: 5
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| 88 |
+
sequence_len: 1024
|
| 89 |
+
strict: false
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| 90 |
+
tf32: true
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| 91 |
+
tokenizer_type: AutoTokenizer
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| 92 |
+
train_on_inputs: false
|
| 93 |
+
trust_remote_code: true
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| 94 |
+
val_set_size: 0.05
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| 95 |
+
wandb_entity: null
|
| 96 |
+
wandb_mode: online
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| 97 |
+
wandb_name: 859088c3-5caa-40f5-84fd-490d89cece7b
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| 98 |
+
wandb_project: Gradients-On-Demand
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| 99 |
+
wandb_run: your_name
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| 100 |
+
wandb_runid: 859088c3-5caa-40f5-84fd-490d89cece7b
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| 101 |
+
warmup_steps: 150
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| 102 |
+
weight_decay: 0.0
|
| 103 |
+
xformers_attention: null
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| 104 |
+
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| 105 |
+
```
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| 106 |
+
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| 107 |
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</details><br>
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| 108 |
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| 109 |
+
# 94bee815-bb95-47e6-835f-ad38135a2860
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| 110 |
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| 111 |
+
This model is a fine-tuned version of [samoline/5cf4792e-00af-4d5f-b922-4c7d5237f306](https://huggingface.co/samoline/5cf4792e-00af-4d5f-b922-4c7d5237f306) on the None dataset.
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| 112 |
+
It achieves the following results on the evaluation set:
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| 113 |
+
- Loss: 0.9920
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| 114 |
+
|
| 115 |
+
## Model description
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| 116 |
+
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| 117 |
+
More information needed
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| 118 |
+
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| 119 |
+
## Intended uses & limitations
|
| 120 |
+
|
| 121 |
+
More information needed
|
| 122 |
+
|
| 123 |
+
## Training and evaluation data
|
| 124 |
+
|
| 125 |
+
More information needed
|
| 126 |
+
|
| 127 |
+
## Training procedure
|
| 128 |
+
|
| 129 |
+
### Training hyperparameters
|
| 130 |
+
|
| 131 |
+
The following hyperparameters were used during training:
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| 132 |
+
- learning_rate: 0.0001
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| 133 |
+
- train_batch_size: 8
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| 134 |
+
- eval_batch_size: 8
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| 135 |
+
- seed: 42
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| 136 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.999,adam_epsilon=1e-8
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| 137 |
+
- lr_scheduler_type: cosine
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| 138 |
+
- lr_scheduler_warmup_steps: 150
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| 139 |
+
- training_steps: 100
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| 140 |
+
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| 141 |
+
### Training results
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| 142 |
+
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| 143 |
+
| Training Loss | Epoch | Step | Validation Loss |
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| 144 |
+
|:-------------:|:------:|:----:|:---------------:|
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| 145 |
+
| 0.7732 | 0.0001 | 1 | 0.9834 |
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| 146 |
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| 1.1379 | 0.0002 | 2 | 0.9834 |
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| 147 |
+
| 0.9396 | 0.0004 | 4 | 0.9834 |
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| 148 |
+
| 0.9896 | 0.0005 | 6 | 0.9834 |
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| 149 |
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| 0.8178 | 0.0007 | 8 | 0.9834 |
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| 150 |
+
| 0.9894 | 0.0009 | 10 | 0.9834 |
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| 151 |
+
| 1.9155 | 0.0011 | 12 | 0.9834 |
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| 152 |
+
| 1.0269 | 0.0012 | 14 | 0.9835 |
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| 153 |
+
| 0.7556 | 0.0014 | 16 | 0.9836 |
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| 154 |
+
| 0.8767 | 0.0016 | 18 | 0.9838 |
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| 155 |
+
| 1.1682 | 0.0018 | 20 | 0.9840 |
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| 156 |
+
| 0.764 | 0.0020 | 22 | 0.9842 |
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| 157 |
+
| 1.1331 | 0.0021 | 24 | 0.9845 |
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| 158 |
+
| 0.868 | 0.0023 | 26 | 0.9848 |
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| 159 |
+
| 0.7687 | 0.0025 | 28 | 0.9851 |
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| 160 |
+
| 0.9999 | 0.0027 | 30 | 0.9855 |
|
| 161 |
+
| 0.649 | 0.0029 | 32 | 0.9861 |
|
| 162 |
+
| 1.2312 | 0.0030 | 34 | 0.9865 |
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| 163 |
+
| 0.6942 | 0.0032 | 36 | 0.9870 |
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| 164 |
+
| 0.8366 | 0.0034 | 38 | 0.9875 |
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| 165 |
+
| 0.7883 | 0.0036 | 40 | 0.9879 |
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| 166 |
+
| 0.7254 | 0.0037 | 42 | 0.9882 |
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| 167 |
+
| 0.9824 | 0.0039 | 44 | 0.9882 |
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| 168 |
+
| 0.692 | 0.0041 | 46 | 0.9884 |
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| 169 |
+
| 0.7093 | 0.0043 | 48 | 0.9886 |
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| 170 |
+
| 0.897 | 0.0045 | 50 | 0.9885 |
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| 171 |
+
| 0.549 | 0.0046 | 52 | 0.9886 |
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| 172 |
+
| 0.7148 | 0.0048 | 54 | 0.9887 |
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| 173 |
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| 1.327 | 0.0050 | 56 | 0.9888 |
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| 174 |
+
| 1.0484 | 0.0052 | 58 | 0.9890 |
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| 175 |
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| 1.1284 | 0.0053 | 60 | 0.9892 |
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| 176 |
+
| 0.653 | 0.0055 | 62 | 0.9894 |
|
| 177 |
+
| 0.8266 | 0.0057 | 64 | 0.9896 |
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| 178 |
+
| 0.835 | 0.0059 | 66 | 0.9900 |
|
| 179 |
+
| 0.7215 | 0.0061 | 68 | 0.9902 |
|
| 180 |
+
| 0.9994 | 0.0062 | 70 | 0.9904 |
|
| 181 |
+
| 1.0789 | 0.0064 | 72 | 0.9904 |
|
| 182 |
+
| 0.7381 | 0.0066 | 74 | 0.9903 |
|
| 183 |
+
| 0.8917 | 0.0068 | 76 | 0.9903 |
|
| 184 |
+
| 0.9863 | 0.0070 | 78 | 0.9901 |
|
| 185 |
+
| 0.8527 | 0.0071 | 80 | 0.9903 |
|
| 186 |
+
| 0.878 | 0.0073 | 82 | 0.9903 |
|
| 187 |
+
| 1.2412 | 0.0075 | 84 | 0.9904 |
|
| 188 |
+
| 1.0756 | 0.0077 | 86 | 0.9904 |
|
| 189 |
+
| 0.8945 | 0.0078 | 88 | 0.9905 |
|
| 190 |
+
| 0.6819 | 0.0080 | 90 | 0.9902 |
|
| 191 |
+
| 0.7676 | 0.0082 | 92 | 0.9901 |
|
| 192 |
+
| 0.8783 | 0.0084 | 94 | 0.9904 |
|
| 193 |
+
| 1.0132 | 0.0086 | 96 | 0.9907 |
|
| 194 |
+
| 0.8469 | 0.0087 | 98 | 0.9913 |
|
| 195 |
+
| 0.9485 | 0.0089 | 100 | 0.9920 |
|
| 196 |
+
|
| 197 |
+
|
| 198 |
+
### Framework versions
|
| 199 |
+
|
| 200 |
+
- PEFT 0.13.2
|
| 201 |
+
- Transformers 4.46.0
|
| 202 |
+
- Pytorch 2.5.0+cu124
|
| 203 |
+
- Datasets 3.0.1
|
| 204 |
+
- Tokenizers 0.20.1
|
adapter_config.json
ADDED
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|
| 1 |
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{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "samoline/5cf4792e-00af-4d5f-b922-4c7d5237f306",
|
| 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": 32,
|
| 14 |
+
"lora_dropout": 0.15,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 32,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"k_proj",
|
| 25 |
+
"v_proj",
|
| 26 |
+
"q_proj",
|
| 27 |
+
"up_proj",
|
| 28 |
+
"o_proj",
|
| 29 |
+
"down_proj"
|
| 30 |
+
],
|
| 31 |
+
"task_type": "CAUSAL_LM",
|
| 32 |
+
"use_dora": false,
|
| 33 |
+
"use_rslora": false
|
| 34 |
+
}
|
adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:508235ea6da5e1da923b1ffdebc2af45fcd0e684e8552770d8fa9da41d1c9ae3
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| 3 |
+
size 96549898
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adapter_model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:555ae280381a3ba2670ab4b7262b50dbef62ac87ac5b42b64b1ab4c078e5ed11
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| 3 |
+
size 96498736
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config.json
ADDED
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@@ -0,0 +1,32 @@
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| 1 |
+
{
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| 2 |
+
"_attn_implementation_autoset": true,
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| 3 |
+
"_name_or_path": "samoline/5cf4792e-00af-4d5f-b922-4c7d5237f306",
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| 4 |
+
"activation_function": "swiGLU",
|
| 5 |
+
"architectures": [
|
| 6 |
+
"LlamaForCausalLM"
|
| 7 |
+
],
|
| 8 |
+
"attention_bias": false,
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"bos_token_id": 1,
|
| 11 |
+
"eos_token_id": 2,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 2048,
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 8192,
|
| 17 |
+
"max_position_embeddings": 2048,
|
| 18 |
+
"mlp_bias": false,
|
| 19 |
+
"model_type": "llama",
|
| 20 |
+
"num_attention_heads": 8,
|
| 21 |
+
"num_hidden_layers": 16,
|
| 22 |
+
"num_key_value_heads": 8,
|
| 23 |
+
"pretraining_tp": 1,
|
| 24 |
+
"rms_norm_eps": 1e-06,
|
| 25 |
+
"rope_scaling": null,
|
| 26 |
+
"rope_theta": 10000.0,
|
| 27 |
+
"tie_word_embeddings": false,
|
| 28 |
+
"torch_dtype": "float32",
|
| 29 |
+
"transformers_version": "4.46.0",
|
| 30 |
+
"use_cache": false,
|
| 31 |
+
"vocab_size": 32000
|
| 32 |
+
}
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 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": true,
|
| 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 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,46 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 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": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"additional_special_tokens": [],
|
| 32 |
+
"bos_token": "<s>",
|
| 33 |
+
"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 %}",
|
| 34 |
+
"clean_up_tokenization_spaces": true,
|
| 35 |
+
"eos_token": "</s>",
|
| 36 |
+
"extra_special_tokens": {},
|
| 37 |
+
"legacy": false,
|
| 38 |
+
"model_max_length": 32768,
|
| 39 |
+
"pad_token": "</s>",
|
| 40 |
+
"sp_model_kwargs": {},
|
| 41 |
+
"spaces_between_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 43 |
+
"unk_token": "<unk>",
|
| 44 |
+
"use_default_system_prompt": true,
|
| 45 |
+
"verbose": false
|
| 46 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed1608a5321241e9a40a6e63304730324b0105623d214842c5fdc4e8c0efbc6b
|
| 3 |
+
size 6840
|