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KingAsiedu
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sentence_sentiments_analysis_bert

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3449
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- - F1-score: 0.8812
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1-score |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.3875 | 1.0 | 1280 | 0.3449 | 0.8812 |
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- | 0.2489 | 2.0 | 2560 | 0.3474 | 0.9023 |
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- | 0.1107 | 3.0 | 3840 | 0.4055 | 0.9160 |
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- | 0.0373 | 4.0 | 5120 | 0.5073 | 0.9211 |
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- | 0.0078 | 5.0 | 6400 | 0.5783 | 0.9156 |
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  ### Framework versions
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- - Transformers 4.33.1
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2925
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+ - F1-score: 0.9017
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1-score |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.3398 | 1.0 | 2500 | 0.3938 | 0.8976 |
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+ | 0.2577 | 2.0 | 5000 | 0.2925 | 0.9017 |
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+ | 0.1613 | 3.0 | 7500 | 0.4417 | 0.9182 |
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+ | 0.0578 | 4.0 | 10000 | 0.4593 | 0.9212 |
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+ | 0.0332 | 5.0 | 12500 | 0.5049 | 0.9228 |
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  ### Framework versions
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+ - Transformers 4.33.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
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