End of training
Browse files- README.md +0 -24
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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base_model: distilbert-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: assignment2_attempt10
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results: []
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# assignment2_attempt10
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4421
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- Precision: 0.1842
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- Recall: 0.0593
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- F1: 0.0897
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- Accuracy: 0.9385
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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| No log | 1.0 | 128 | 0.2825 | 0.3846 | 0.0424 | 0.0763 | 0.9402 |
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| No log | 2.0 | 256 | 0.2543 | 0.15 | 0.0763 | 0.1011 | 0.9376 |
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| No log | 3.0 | 384 | 0.3488 | 0.3333 | 0.0847 | 0.1351 | 0.9396 |
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| 0.2284 | 4.0 | 512 | 0.3479 | 0.2857 | 0.1017 | 0.1500 | 0.9393 |
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| 0.2284 | 5.0 | 640 | 0.3368 | 0.1266 | 0.0847 | 0.1015 | 0.9331 |
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| 0.2284 | 6.0 | 768 | 0.4236 | 0.2222 | 0.0678 | 0.1039 | 0.9397 |
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| 0.2284 | 7.0 | 896 | 0.4421 | 0.1842 | 0.0593 | 0.0897 | 0.9385 |
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### Framework versions
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- Transformers 4.34.1
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base_model: distilbert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: assignment2_attempt10
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results: []
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# assignment2_attempt10
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 100
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### Framework versions
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- Transformers 4.34.1
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pytorch_model.bin
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training_args.bin
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