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--- |
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license: other |
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base_model: laurentiubp/CataLLaMA-v0.1.2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: CataLLaMA-v0.2.0 |
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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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# CataLLaMA-v0.2.0 |
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This model is a fine-tuned version of [laurentiubp/CataLLaMA-v0.1.2](https://huggingface.co./laurentiubp/CataLLaMA-v0.1.2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8528 |
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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-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 6 |
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- total_train_batch_size: 60 |
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- total_eval_batch_size: 60 |
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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: 100 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8002 | 0.22 | 200 | 0.8989 | |
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| 0.8068 | 0.43 | 400 | 0.8835 | |
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| 0.7722 | 0.65 | 600 | 0.8654 | |
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| 0.7805 | 0.86 | 800 | 0.8528 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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