amritpuhan
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End of training
Browse files- README.md +9 -11
- model.safetensors +1 -1
- tokenizer.json +6 -1
- training_args.bin +1 -1
README.md
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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datasets:
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- swag
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metrics:
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- accuracy
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model-index:
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# fine-tuned-bert-base-uncased-swag
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.
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- Datasets 2.
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- Tokenizers 0.19.1
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base_model: bert-base-uncased
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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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# fine-tuned-bert-base-uncased-swag
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5259
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- Accuracy: 0.8134
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.7736 | 1.0 | 1150 | 0.5534 | 0.7911 |
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| 0.5913 | 2.0 | 2300 | 0.5009 | 0.8086 |
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| 0.4462 | 3.0 | 3450 | 0.5014 | 0.8122 |
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| 0.3695 | 4.0 | 4600 | 0.5259 | 0.8134 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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tokenizer.json
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training_args.bin
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