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--- |
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library_name: transformers |
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base_model: ccore/ccore-v3 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ccore-v3 |
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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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# ccore-v3 |
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This model is a fine-tuned version of [ccore/ccore-v3](https://huggingface.co/ccore/ccore-v3) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5452 |
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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: 0.0001 |
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- train_batch_size: 24 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 192 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- num_epochs: 10 |
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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 | 1.0 | 15 | 0.5351 | |
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| No log | 2.0 | 30 | 0.5292 | |
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| No log | 3.0 | 45 | 0.5297 | |
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| No log | 4.0 | 60 | 0.5342 | |
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| No log | 5.0 | 75 | 0.5368 | |
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| No log | 6.0 | 90 | 0.5420 | |
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| No log | 7.0 | 105 | 0.5422 | |
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| No log | 8.0 | 120 | 0.5438 | |
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| No log | 9.0 | 135 | 0.5452 | |
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| No log | 9.3540 | 140 | 0.5452 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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