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--- |
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license: other |
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base_model: baffo32/decapoda-research-llama-7B-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: olinaweights |
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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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# olinaweights |
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This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0104 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: linear |
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- lr_scheduler_warmup_steps: 40 |
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- training_steps: 1000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 0.01 | 100 | 0.1012 | |
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| No log | 0.03 | 200 | 0.0426 | |
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| 0.1403 | 0.04 | 300 | 0.0455 | |
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| 0.1403 | 0.05 | 400 | 0.0258 | |
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| 0.0307 | 0.07 | 500 | 0.0227 | |
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| 0.0307 | 0.08 | 600 | 0.0200 | |
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| 0.0307 | 0.09 | 700 | 0.0164 | |
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| 0.019 | 0.11 | 800 | 0.0126 | |
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| 0.019 | 0.12 | 900 | 0.0117 | |
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| 0.0115 | 0.13 | 1000 | 0.0104 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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