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--- |
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license: apache-2.0 |
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base_model: judy93536/distilroberta-base-ep20 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: distilroberta-base-ep20-phrase5k |
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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-ep20-phrase5k |
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This model is a fine-tuned version of [judy93536/distilroberta-base-ep20](https://huggingface.co/judy93536/distilroberta-base-ep20) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1361 |
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- Accuracy: 0.9540 |
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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: 1.123335054745316e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 0.28 |
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- num_epochs: 13 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 250 | 1.0595 | 0.6046 | |
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| 1.0445 | 2.0 | 500 | 0.8412 | 0.6136 | |
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| 1.0445 | 3.0 | 750 | 0.6597 | 0.7197 | |
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| 0.6876 | 4.0 | 1000 | 0.5043 | 0.7768 | |
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| 0.6876 | 5.0 | 1250 | 0.3559 | 0.8709 | |
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| 0.3881 | 6.0 | 1500 | 0.2273 | 0.9289 | |
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| 0.3881 | 7.0 | 1750 | 0.1852 | 0.9369 | |
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| 0.1977 | 8.0 | 2000 | 0.1567 | 0.9449 | |
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| 0.1977 | 9.0 | 2250 | 0.1396 | 0.9510 | |
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| 0.1436 | 10.0 | 2500 | 0.1493 | 0.9489 | |
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| 0.1436 | 11.0 | 2750 | 0.1397 | 0.9499 | |
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| 0.123 | 12.0 | 3000 | 0.1334 | 0.9530 | |
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| 0.123 | 13.0 | 3250 | 0.1361 | 0.9540 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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