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README.md
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It achieves the following results on the evaluation set:
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- Loss: 1.0031
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- Accuracy: 0.5014
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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| 1.2255 | 1.0 | 133 | 1.1365 | 0.4134 | 0.2437 | 0.4134 | 0.1487 | 0.4134 | 0.4134 | 0.2507 | 0.2652 | 0.4134 | 0.2285 |
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| 1.1337 | 2.0 | 266 | 1.0851 | 0.4532 | 0.3257 | 0.4532 | 0.2539 | 0.4532 | 0.4532 | 0.3161 | 0.3015 | 0.4532 | 0.2705 |
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It achieves the following results on the evaluation set:
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- Loss: 1.0031
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- Accuracy: 0.5014
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- F1
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- Weighted: 0.4023
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- Micro: 0.5014
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- Macro: 0.3282
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- Recall
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- Weighted: 0.5014
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- Micro: 0.5014
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- Macro: 0.3835
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- Precision
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- Weighted: 0.5783
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- Micro: 0.5014
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- Macro: 0.4548
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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| 1.2255 | 1.0 | 133 | 1.1365 | 0.4134 | 0.2437 | 0.4134 | 0.1487 | 0.4134 | 0.4134 | 0.2507 | 0.2652 | 0.4134 | 0.2285 |
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| 1.1337 | 2.0 | 266 | 1.0851 | 0.4532 | 0.3257 | 0.4532 | 0.2539 | 0.4532 | 0.4532 | 0.3161 | 0.3015 | 0.4532 | 0.2705 |
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