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  2. model.safetensors +1 -1
README.md ADDED
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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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+
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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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+
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+ # distilroberta-base-ep20-phrase5k
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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