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--- |
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library_name: transformers |
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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: IE_L3_1000steps_1e6rate_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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# IE_L3_1000steps_1e6rate_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: 1.6162 |
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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-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8795 | 0.4 | 50 | 1.7359 | |
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| 1.5557 | 0.8 | 100 | 1.5149 | |
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| 1.5505 | 1.2 | 150 | 1.4878 | |
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| 1.4839 | 1.6 | 200 | 1.4811 | |
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| 1.4928 | 2.0 | 250 | 1.4778 | |
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| 1.3677 | 2.4 | 300 | 1.4931 | |
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| 1.3947 | 2.8 | 350 | 1.4940 | |
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| 1.1632 | 3.2 | 400 | 1.5277 | |
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| 1.2544 | 3.6 | 450 | 1.5207 | |
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| 1.147 | 4.0 | 500 | 1.5292 | |
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| 1.1403 | 4.4 | 550 | 1.5664 | |
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| 1.0704 | 4.8 | 600 | 1.5711 | |
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| 1.0585 | 5.2 | 650 | 1.6079 | |
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| 1.0515 | 5.6 | 700 | 1.6006 | |
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| 0.9566 | 6.0 | 750 | 1.6039 | |
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| 0.9733 | 6.4 | 800 | 1.6169 | |
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| 0.9837 | 6.8 | 850 | 1.6162 | |
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| 0.9766 | 7.2 | 900 | 1.6158 | |
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| 0.924 | 7.6 | 950 | 1.6164 | |
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| 1.0258 | 8.0 | 1000 | 1.6162 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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