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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SAE-roberta-base |
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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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# SAE-roberta-base |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6959 |
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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: 2e-05 |
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- train_batch_size: 7 |
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- eval_batch_size: 7 |
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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: 15 |
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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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| 1.9847 | 1.0 | 79 | 1.8238 | |
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| 1.9142 | 2.0 | 158 | 1.8299 | |
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| 1.8613 | 3.0 | 237 | 1.7636 | |
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| 1.8384 | 4.0 | 316 | 1.8048 | |
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| 1.8193 | 5.0 | 395 | 1.7734 | |
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| 1.7985 | 6.0 | 474 | 1.7271 | |
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| 1.7758 | 7.0 | 553 | 1.8525 | |
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| 1.7611 | 8.0 | 632 | 1.7716 | |
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| 1.7599 | 9.0 | 711 | 1.7913 | |
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| 1.7118 | 10.0 | 790 | 1.7578 | |
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| 1.7003 | 11.0 | 869 | 1.7598 | |
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| 1.7072 | 12.0 | 948 | 1.6942 | |
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| 1.6511 | 13.0 | 1027 | 1.6955 | |
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| 1.6802 | 14.0 | 1106 | 1.7837 | |
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| 1.7048 | 15.0 | 1185 | 1.7377 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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