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--- |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-base-finetuned-wls-manual-9ep |
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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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# roberta-base-finetuned-wls-manual-9ep |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1276 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 9 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8229 | 0.93 | 7 | 1.5338 | |
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| 1.4689 | 2.0 | 15 | 1.3870 | |
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| 1.3431 | 2.93 | 22 | 1.3524 | |
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| 1.2807 | 4.0 | 30 | 1.2096 | |
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| 1.262 | 4.93 | 37 | 1.1687 | |
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| 1.1874 | 6.0 | 45 | 1.1677 | |
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| 1.1404 | 6.93 | 52 | 1.0729 | |
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| 1.1456 | 8.0 | 60 | 1.1217 | |
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| 1.1369 | 8.4 | 63 | 1.1568 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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