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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-2 |
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- GaetanMichelet/chat-120_ft_task-2 |
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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-2_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-2_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-2 and the GaetanMichelet/chat-120_ft_task-2 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7139 |
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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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| 1.0459 | 1.0 | 11 | 1.1227 | |
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| 1.0223 | 2.0 | 22 | 1.1149 | |
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| 1.0795 | 3.0 | 33 | 1.1018 | |
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| 0.9982 | 4.0 | 44 | 1.0787 | |
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| 0.9702 | 5.0 | 55 | 1.0444 | |
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| 0.9509 | 6.0 | 66 | 0.9990 | |
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| 0.9573 | 7.0 | 77 | 0.9500 | |
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| 0.8624 | 8.0 | 88 | 0.9071 | |
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| 0.8804 | 9.0 | 99 | 0.8747 | |
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| 0.8515 | 10.0 | 110 | 0.8457 | |
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| 0.7864 | 11.0 | 121 | 0.8208 | |
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| 0.8648 | 12.0 | 132 | 0.8018 | |
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| 0.736 | 13.0 | 143 | 0.7867 | |
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| 0.7882 | 14.0 | 154 | 0.7728 | |
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| 0.7452 | 15.0 | 165 | 0.7604 | |
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| 0.6818 | 16.0 | 176 | 0.7485 | |
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| 0.7119 | 17.0 | 187 | 0.7387 | |
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| 0.7107 | 18.0 | 198 | 0.7307 | |
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| 0.6405 | 19.0 | 209 | 0.7238 | |
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| 0.6075 | 20.0 | 220 | 0.7188 | |
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| 0.6323 | 21.0 | 231 | 0.7152 | |
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| 0.557 | 22.0 | 242 | 0.7139 | |
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| 0.5692 | 23.0 | 253 | 0.7158 | |
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| 0.558 | 24.0 | 264 | 0.7198 | |
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| 0.5153 | 25.0 | 275 | 0.7296 | |
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| 0.4964 | 26.0 | 286 | 0.7367 | |
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| 0.4713 | 27.0 | 297 | 0.7403 | |
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| 0.4144 | 28.0 | 308 | 0.7620 | |
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| 0.4184 | 29.0 | 319 | 0.7954 | |
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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 |
