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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B |
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library_name: peft |
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license: llama3.1 |
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metrics: |
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- accuracy |
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tags: |
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- trl |
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- reward-trainer |
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- generated_from_trainer |
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model-index: |
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- name: run-llama |
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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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# run-llama |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4304 |
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- Accuracy: 0.7917 |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:------:|:----:|:--------:|:---------------:| |
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| 0.6426 | 0.1130 | 10 | 0.5625 | 0.6485 | |
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| 0.6074 | 0.2260 | 20 | 0.6319 | 0.5821 | |
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| 0.4355 | 0.3390 | 30 | 0.7153 | 0.4967 | |
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| 0.5957 | 0.4520 | 40 | 0.7569 | 0.4683 | |
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| 0.3984 | 0.5650 | 50 | 0.7431 | 0.4616 | |
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| 0.4795 | 0.9836 | 60 | 0.7361 | 0.4514 | |
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| 0.3154 | 1.1475 | 70 | 0.7292 | 0.4393 | |
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| 0.3086 | 1.3115 | 80 | 0.75 | 0.4339 | |
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| 0.499 | 1.4754 | 90 | 0.7569 | 0.4281 | |
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| 0.2642 | 1.6393 | 100 | 0.7847 | 0.4281 | |
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| 0.2173 | 1.8033 | 110 | 0.7708 | 0.4200 | |
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| 0.3281 | 1.9672 | 120 | 0.7847 | 0.4151 | |
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| 0.2329 | 3.4211 | 130 | 0.7847 | 0.4172 | |
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| 0.2891 | 3.6842 | 140 | 0.7847 | 0.4202 | |
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| 0.3906 | 3.9474 | 150 | 0.7708 | 0.4285 | |
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| 0.2373 | 4.1026 | 160 | 0.4338 | 0.7778 | |
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| 0.2144 | 4.3590 | 170 | 0.4312 | 0.7847 | |
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| 0.2715 | 4.6154 | 180 | 0.4300 | 0.7847 | |
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| 0.1855 | 4.8718 | 190 | 0.4327 | 0.7917 | |
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| 0.3506 | 5.1282 | 200 | 0.4304 | 0.7917 | |
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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 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
