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--- |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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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: Summary4500_L3_600steps_1e7rate_SFT |
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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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# Summary4500_L3_600steps_1e7rate_SFT |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7224 |
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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-07 |
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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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- 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_steps: 100 |
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- training_steps: 600 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.2833 | 0.0112 | 50 | 2.2995 | |
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| 2.2064 | 0.0224 | 100 | 2.2092 | |
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| 2.0654 | 0.0336 | 150 | 2.0720 | |
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| 1.9437 | 0.0448 | 200 | 1.9576 | |
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| 1.8484 | 0.0559 | 250 | 1.8656 | |
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| 1.7789 | 0.0671 | 300 | 1.7963 | |
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| 1.7333 | 0.0783 | 350 | 1.7572 | |
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| 1.7091 | 0.0895 | 400 | 1.7327 | |
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| 1.6971 | 0.1007 | 450 | 1.7244 | |
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| 1.6949 | 0.1119 | 500 | 1.7222 | |
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| 1.6943 | 0.1231 | 550 | 1.7224 | |
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| 1.694 | 0.1343 | 600 | 1.7224 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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