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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-2_full |
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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-2_full |
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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: 1.1336 |
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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: 0.0001 |
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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: 16 |
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- total_train_batch_size: 16 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 1.7269 | 0.9091 | 5 | 1.6901 | |
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| 1.6699 | 2.0 | 11 | 1.5939 | |
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| 1.5273 | 2.9091 | 16 | 1.5005 | |
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| 1.3953 | 4.0 | 22 | 1.3805 | |
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| 1.2642 | 4.9091 | 27 | 1.2621 | |
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| 1.1571 | 6.0 | 33 | 1.1986 | |
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| 1.1345 | 6.9091 | 38 | 1.1788 | |
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| 1.1145 | 8.0 | 44 | 1.1606 | |
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| 1.0654 | 8.9091 | 49 | 1.1505 | |
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| 1.0821 | 10.0 | 55 | 1.1417 | |
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| 1.0346 | 10.9091 | 60 | 1.1381 | |
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| 1.0027 | 12.0 | 66 | 1.1336 | |
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| 0.9693 | 12.9091 | 71 | 1.1350 | |
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| 0.9594 | 14.0 | 77 | 1.1414 | |
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| 0.8512 | 14.9091 | 82 | 1.1548 | |
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| 0.863 | 16.0 | 88 | 1.1607 | |
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| 0.8028 | 16.9091 | 93 | 1.1746 | |
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| 0.731 | 18.0 | 99 | 1.2033 | |
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| 0.7089 | 18.9091 | 104 | 1.2296 | |
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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 |
