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bert-tweeteval-distilbert

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3861
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- - Accuracy: 0.7540
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- - F1: 0.7075
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6342 | 1.0 | 204 | 0.6298 | 0.7754 | 0.7153 |
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- | 0.4868 | 2.0 | 408 | 0.6682 | 0.7540 | 0.6967 |
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- | 0.3236 | 3.0 | 612 | 0.6640 | 0.7807 | 0.7250 |
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- | 0.1872 | 4.0 | 816 | 0.7549 | 0.7861 | 0.7313 |
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- | 0.0963 | 5.0 | 1020 | 0.8778 | 0.7834 | 0.7342 |
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- | 0.0755 | 6.0 | 1224 | 0.9403 | 0.7995 | 0.7454 |
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- | 0.0499 | 7.0 | 1428 | 1.1935 | 0.7727 | 0.7194 |
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- | 0.0557 | 8.0 | 1632 | 1.1594 | 0.7861 | 0.7375 |
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- | 0.0067 | 9.0 | 1836 | 1.3861 | 0.7540 | 0.7075 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3856
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+ - Accuracy: 0.7701
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+ - F1: 0.7191
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6482 | 1.0 | 204 | 0.6140 | 0.7834 | 0.7183 |
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+ | 0.4896 | 2.0 | 408 | 0.6577 | 0.7620 | 0.7002 |
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+ | 0.3321 | 3.0 | 612 | 0.6471 | 0.7834 | 0.7244 |
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+ | 0.1805 | 4.0 | 816 | 0.8309 | 0.7754 | 0.7145 |
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+ | 0.0903 | 5.0 | 1020 | 0.9430 | 0.7647 | 0.7207 |
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+ | 0.0523 | 6.0 | 1224 | 1.0135 | 0.7834 | 0.7260 |
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+ | 0.0474 | 7.0 | 1428 | 1.1707 | 0.7567 | 0.7056 |
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+ | 0.0514 | 8.0 | 1632 | 1.2040 | 0.7701 | 0.7232 |
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+ | 0.0129 | 9.0 | 1836 | 1.3856 | 0.7701 | 0.7191 |
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  ### Framework versions
model.safetensors CHANGED
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