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--- |
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license: apache-2.0 |
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base_model: judy93536/distilroberta-base-reuters-bloomberg |
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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-reuters-bloomberg-ep30-ep20 |
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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-reuters-bloomberg-ep30-ep20 |
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This model is a fine-tuned version of [judy93536/distilroberta-base-reuters-bloomberg](https://huggingface.co/judy93536/distilroberta-base-reuters-bloomberg) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2767 |
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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: 7.2115e-05 |
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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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- lr_scheduler_warmup_ratio: 0.12 |
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- num_epochs: 20 |
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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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| 1.3775 | 1.0 | 13905 | 1.3298 | |
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| 1.4586 | 2.0 | 27810 | 1.4049 | |
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| 1.5213 | 3.0 | 41715 | 1.4486 | |
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| 1.5175 | 4.0 | 55620 | 1.4431 | |
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| 1.5007 | 5.0 | 69525 | 1.4346 | |
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| 1.4875 | 6.0 | 83430 | 1.4237 | |
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| 1.4695 | 7.0 | 97335 | 1.4145 | |
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| 1.4625 | 8.0 | 111240 | 1.4062 | |
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| 1.4343 | 9.0 | 125145 | 1.3892 | |
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| 1.4276 | 10.0 | 139050 | 1.3822 | |
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| 1.4147 | 11.0 | 152955 | 1.3658 | |
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| 1.3914 | 12.0 | 166860 | 1.3549 | |
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| 1.3774 | 13.0 | 180765 | 1.3425 | |
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| 1.3691 | 14.0 | 194670 | 1.3323 | |
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| 1.3523 | 15.0 | 208575 | 1.3193 | |
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| 1.3354 | 16.0 | 222480 | 1.3098 | |
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| 1.3221 | 17.0 | 236385 | 1.2990 | |
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| 1.3083 | 18.0 | 250290 | 1.2885 | |
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| 1.3052 | 19.0 | 264195 | 1.2830 | |
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| 1.2818 | 20.0 | 278100 | 1.2793 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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