| --- |
| license: apache-2.0 |
| base_model: unsloth/tinyllama-bnb-4bit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - generator |
| model-index: |
| - name: tinyllama-bnb-4bit-ft-codeAlpaca |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # tinyllama-bnb-4bit-ft-codeAlpaca |
|
|
| This model is a fine-tuned version of [unsloth/tinyllama-bnb-4bit](https://huggingface.co/unsloth/tinyllama-bnb-4bit) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7926 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
|
| ## 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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 3407 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.1517 | 0.83 | 50 | 1.1598 | |
| | 0.9428 | 1.65 | 100 | 0.9327 | |
| | 0.8319 | 2.48 | 150 | 0.8448 | |
| | 0.8205 | 3.31 | 200 | 0.8102 | |
| | 0.7977 | 4.13 | 250 | 0.7966 | |
| | 0.763 | 4.96 | 300 | 0.7926 | |
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| ### Framework versions |
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|
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
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|
