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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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datasets: |
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- GaetanMichelet/chat-60_ft_task-3 |
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- GaetanMichelet/chat-120_ft_task-3 |
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library_name: peft |
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license: llama3.1 |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: Llama-31-8B_task-3_120-samples_config-3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Llama-31-8B_task-3_120-samples_config-3 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on the GaetanMichelet/chat-60_ft_task-3 and the GaetanMichelet/chat-120_ft_task-3 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4408 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 150 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.3729 | 1.0 | 11 | 2.4972 | |
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| 2.6938 | 2.0 | 22 | 2.4571 | |
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| 2.6474 | 3.0 | 33 | 2.3881 | |
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| 2.2763 | 4.0 | 44 | 2.2642 | |
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| 2.0268 | 5.0 | 55 | 2.0694 | |
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| 1.7309 | 6.0 | 66 | 1.7871 | |
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| 1.4481 | 7.0 | 77 | 1.4330 | |
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| 1.0554 | 8.0 | 88 | 1.0675 | |
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| 0.8392 | 9.0 | 99 | 0.7563 | |
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| 0.4685 | 10.0 | 110 | 0.6437 | |
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| 0.3588 | 11.0 | 121 | 0.5851 | |
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| 0.6319 | 12.0 | 132 | 0.5407 | |
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| 0.4211 | 13.0 | 143 | 0.5248 | |
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| 0.495 | 14.0 | 154 | 0.5127 | |
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| 0.4232 | 15.0 | 165 | 0.5019 | |
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| 0.496 | 16.0 | 176 | 0.5103 | |
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| 0.3903 | 17.0 | 187 | 0.4814 | |
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| 0.331 | 18.0 | 198 | 0.4913 | |
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| 0.2403 | 19.0 | 209 | 0.4869 | |
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| 0.3563 | 20.0 | 220 | 0.4718 | |
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| 0.4107 | 21.0 | 231 | 0.4596 | |
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| 0.2631 | 22.0 | 242 | 0.4478 | |
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| 0.4212 | 23.0 | 253 | 0.4496 | |
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| 0.3304 | 24.0 | 264 | 0.4408 | |
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| 0.3296 | 25.0 | 275 | 0.4437 | |
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| 0.3266 | 26.0 | 286 | 0.4441 | |
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| 0.1403 | 27.0 | 297 | 0.4496 | |
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| 0.1732 | 28.0 | 308 | 0.4574 | |
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| 0.1797 | 29.0 | 319 | 0.4809 | |
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| 0.1355 | 30.0 | 330 | 0.4990 | |
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| 0.1346 | 31.0 | 341 | 0.5313 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
