camidenecken
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bert-base-uncased-goemotions
Browse files- README.md +7 -2
- training_args.bin +1 -1
README.md
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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.
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## Model description
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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_steps: 500
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- num_epochs:
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### Training results
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| 0.0629 | 4.0 | 21708 | 0.0863 |
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| 0.0604 | 5.0 | 27135 | 0.0893 |
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| 0.0543 | 6.0 | 32562 | 0.0919 |
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### Framework versions
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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: 0.1078
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## Model description
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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_steps: 500
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- num_epochs: 11
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### Training results
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| 0.0629 | 4.0 | 21708 | 0.0863 |
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| 0.0604 | 5.0 | 27135 | 0.0893 |
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| 0.0543 | 6.0 | 32562 | 0.0919 |
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| 0.054 | 7.0 | 37989 | 0.0955 |
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| 0.0443 | 8.0 | 43416 | 0.0979 |
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| 0.0463 | 9.0 | 48843 | 0.1017 |
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| 0.0394 | 10.0 | 54270 | 0.1060 |
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| 0.035 | 11.0 | 59697 | 0.1078 |
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### Framework versions
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5176
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version https://git-lfs.github.com/spec/v1
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size 5176
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