End of training
Browse files- README.md +7 -7
- model.safetensors +1 -1
- runs/Nov26_19-27-50_Seans-MBP3/events.out.tfevents.1701048470.Seans-MBP3.91130.0 +3 -0
- runs/Nov26_19-32-40_Seans-MBP3/events.out.tfevents.1701048761.Seans-MBP3.91130.1 +3 -0
- runs/Nov26_19-35-07_Seans-MBP3/events.out.tfevents.1701048907.Seans-MBP3.91130.2 +3 -0
- runs/Nov26_19-38-38_Seans-MBP3/events.out.tfevents.1701049118.Seans-MBP3.91130.3 +3 -0
- training_args.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.576
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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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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4140
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- Accuracy: 0.576
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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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| No log | 1.0 | 125 | 1.1930 | 0.537 |
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| No log | 2.0 | 250 | 1.2516 | 0.555 |
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| No log | 3.0 | 375 | 1.4140 | 0.576 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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