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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_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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# IE_L3_1000steps_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: 1.6772 |
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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: 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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| 2.2086 | 0.4 | 50 | 2.2064 | |
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| 2.2198 | 0.8 | 100 | 2.1548 | |
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| 2.2023 | 1.2 | 150 | 2.0793 | |
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| 2.0602 | 1.6 | 200 | 2.0114 | |
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| 2.0378 | 2.0 | 250 | 1.9558 | |
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| 2.0038 | 2.4 | 300 | 1.8972 | |
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| 1.9713 | 2.8 | 350 | 1.8398 | |
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| 1.8103 | 3.2 | 400 | 1.7944 | |
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| 1.8982 | 3.6 | 450 | 1.7569 | |
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| 1.7218 | 4.0 | 500 | 1.7267 | |
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| 1.824 | 4.4 | 550 | 1.7062 | |
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| 1.7494 | 4.8 | 600 | 1.6925 | |
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| 1.7574 | 5.2 | 650 | 1.6844 | |
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| 1.738 | 5.6 | 700 | 1.6798 | |
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| 1.6533 | 6.0 | 750 | 1.6779 | |
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| 1.7537 | 6.4 | 800 | 1.6770 | |
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| 1.7075 | 6.8 | 850 | 1.6770 | |
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| 1.7128 | 7.2 | 900 | 1.6772 | |
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| 1.7139 | 7.6 | 950 | 1.6772 | |
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| 1.7539 | 8.0 | 1000 | 1.6772 | |
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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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