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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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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_60-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_60-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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7156 |
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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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| 1.0751 | 0.8696 | 5 | 1.0960 | |
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| 1.1004 | 1.9130 | 11 | 1.0923 | |
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| 1.1552 | 2.9565 | 17 | 1.0845 | |
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| 1.0884 | 4.0 | 23 | 1.0731 | |
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| 1.0984 | 4.8696 | 28 | 1.0593 | |
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| 1.054 | 5.9130 | 34 | 1.0363 | |
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| 0.9646 | 6.9565 | 40 | 1.0060 | |
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| 0.9982 | 8.0 | 46 | 0.9700 | |
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| 0.9649 | 8.8696 | 51 | 0.9380 | |
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| 0.9161 | 9.9130 | 57 | 0.9017 | |
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| 0.8966 | 10.9565 | 63 | 0.8722 | |
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| 0.8314 | 12.0 | 69 | 0.8468 | |
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| 0.7747 | 12.8696 | 74 | 0.8286 | |
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| 0.8162 | 13.9130 | 80 | 0.8081 | |
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| 0.8422 | 14.9565 | 86 | 0.7906 | |
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| 0.7802 | 16.0 | 92 | 0.7776 | |
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| 0.7179 | 16.8696 | 97 | 0.7692 | |
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| 0.7191 | 17.9130 | 103 | 0.7605 | |
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| 0.6644 | 18.9565 | 109 | 0.7524 | |
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| 0.6898 | 20.0 | 115 | 0.7456 | |
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| 0.6776 | 20.8696 | 120 | 0.7404 | |
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| 0.6571 | 21.9130 | 126 | 0.7338 | |
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| 0.6177 | 22.9565 | 132 | 0.7289 | |
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| 0.6361 | 24.0 | 138 | 0.7246 | |
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| 0.6357 | 24.8696 | 143 | 0.7214 | |
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| 0.6767 | 25.9130 | 149 | 0.7174 | |
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| 0.5947 | 26.9565 | 155 | 0.7170 | |
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| 0.6182 | 28.0 | 161 | 0.7156 | |
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| 0.5899 | 28.8696 | 166 | 0.7157 | |
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| 0.5612 | 29.9130 | 172 | 0.7162 | |
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| 0.5545 | 30.9565 | 178 | 0.7185 | |
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| 0.5574 | 32.0 | 184 | 0.7232 | |
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| 0.5316 | 32.8696 | 189 | 0.7254 | |
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| 0.5276 | 33.9130 | 195 | 0.7338 | |
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| 0.4653 | 34.9565 | 201 | 0.7407 | |
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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 |
