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--- |
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license: other |
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base_model: facebook/opt-350m |
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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: content |
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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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# content |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5972 |
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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: 0.0002 |
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- train_batch_size: 16 |
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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: 32 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.0419 | 0.2 | 50 | 3.8081 | |
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| 3.816 | 0.4 | 100 | 3.7579 | |
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| 3.78 | 0.6 | 150 | 3.7016 | |
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| 3.753 | 0.8 | 200 | 3.6749 | |
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| 3.6787 | 1.0 | 250 | 3.6132 | |
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| 2.987 | 1.2 | 300 | 3.6374 | |
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| 3.0092 | 1.4 | 350 | 3.6043 | |
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| 3.0088 | 1.6 | 400 | 3.5676 | |
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| 2.945 | 1.8 | 450 | 3.5404 | |
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| 2.9204 | 2.0 | 500 | 3.5082 | |
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| 2.2216 | 2.2 | 550 | 3.6194 | |
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| 2.212 | 2.4 | 600 | 3.6117 | |
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| 2.198 | 2.6 | 650 | 3.6019 | |
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| 2.1787 | 2.8 | 700 | 3.5973 | |
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| 2.1878 | 3.0 | 750 | 3.5972 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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