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--- |
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license: apache-2.0 |
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base_model: distilroberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilroberta-base-finetuned-media-left |
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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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# distilroberta-base-finetuned-media-left |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co./distilroberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1486 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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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- num_epochs: 20 |
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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 | 146 | 1.6589 | |
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| No log | 2.0 | 292 | 1.5801 | |
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| No log | 3.0 | 438 | 1.5258 | |
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| 1.7336 | 4.0 | 584 | 1.4607 | |
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| 1.7336 | 5.0 | 730 | 1.4002 | |
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| 1.7336 | 6.0 | 876 | 1.4025 | |
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| 1.4357 | 7.0 | 1022 | 1.3493 | |
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| 1.4357 | 8.0 | 1168 | 1.3449 | |
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| 1.4357 | 9.0 | 1314 | 1.3117 | |
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| 1.4357 | 10.0 | 1460 | 1.2954 | |
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| 1.2491 | 11.0 | 1606 | 1.3056 | |
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| 1.2491 | 12.0 | 1752 | 1.2601 | |
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| 1.2491 | 13.0 | 1898 | 1.2488 | |
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| 1.1171 | 14.0 | 2044 | 1.2119 | |
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| 1.1171 | 15.0 | 2190 | 1.2133 | |
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| 1.1171 | 16.0 | 2336 | 1.1962 | |
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| 1.1171 | 17.0 | 2482 | 1.1902 | |
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| 1.0375 | 18.0 | 2628 | 1.1545 | |
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| 1.0375 | 19.0 | 2774 | 1.1702 | |
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| 1.0375 | 20.0 | 2920 | 1.1486 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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