add model
Browse files- README.md +10 -10
- config.json +132 -132
- pytorch_model.bin +1 -1
- runs/Aug07_04-41-34_ip-172-31-23-147/1628311305.4245002/events.out.tfevents.1628311305.ip-172-31-23-147.28209.1 +3 -0
- runs/Aug07_04-41-34_ip-172-31-23-147/events.out.tfevents.1628311305.ip-172-31-23-147.28209.0 +3 -0
- runs/Aug07_04-41-34_ip-172-31-23-147/events.out.tfevents.1628315891.ip-172-31-23-147.28209.2 +3 -0
- training_args.bin +2 -2
README.md
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metric:
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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-uncased](https://huggingface.co/bert-base-uncased) on the nerd dataset.
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It achieves the following results on the evaluation set:
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- Precision: 0.
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- Recall: 0.
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- Accuracy: 0.9077
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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### Framework versions
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metric:
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name: Accuracy
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type: accuracy
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value: 0.9077183979155076
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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-uncased](https://huggingface.co/bert-base-uncased) on the nerd dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3494
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- Precision: 0.6327
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- Recall: 0.6793
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- F1: 0.6551
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- Accuracy: 0.9077
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.548 | 1.0 | 8235 | 0.3281 | 0.6101 | 0.6630 | 0.6355 | 0.9029 |
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| 0.2857 | 2.0 | 16470 | 0.3139 | 0.6355 | 0.6706 | 0.6526 | 0.9073 |
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| 0.2183 | 3.0 | 24705 | 0.3294 | 0.6374 | 0.6788 | 0.6575 | 0.9082 |
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| 0.1658 | 4.0 | 32940 | 0.3440 | 0.6366 | 0.6815 | 0.6583 | 0.9087 |
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| 0.1286 | 5.0 | 41175 | 0.3702 | 0.6364 | 0.6812 | 0.6580 | 0.9081 |
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### Framework versions
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config.json
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"17": "I-EVENT_election",
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pytorch_model.bin
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