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LogischeIP
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SentimentT2

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Jan24_14-37-05_579ed4a51ca4/events.out.tfevents.1706107026.579ed4a51ca4.457.0 +3 -0
  4. runs/Jan24_14-37-05_579ed4a51ca4/events.out.tfevents.1706107294.579ed4a51ca4.457.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ 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: 0.3310
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- - Accuracy: 0.8557
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- - F1: 0.8589
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- - Auc Roc: 0.9323
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- - Log Loss: 0.3310
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  ## Model description
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@@ -57,10 +57,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
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- | 0.6957 | 1.0 | 101 | 0.6817 | 0.6766 | 0.7085 | 0.7441 | 0.6817 |
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- | 0.6144 | 2.0 | 203 | 0.4599 | 0.8234 | 0.8360 | 0.9071 | 0.4599 |
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- | 0.4133 | 3.0 | 304 | 0.3519 | 0.8570 | 0.8578 | 0.9275 | 0.3519 |
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- | 0.3316 | 3.98 | 404 | 0.3310 | 0.8557 | 0.8589 | 0.9323 | 0.3310 |
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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: 0.3554
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+ - Accuracy: 0.8507
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+ - F1: 0.8568
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+ - Auc Roc: 0.9199
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+ - Log Loss: 0.3554
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
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+ | 0.6935 | 1.0 | 101 | 0.6756 | 0.7251 | 0.7427 | 0.8000 | 0.6756 |
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+ | 0.5974 | 2.0 | 203 | 0.4756 | 0.8060 | 0.8251 | 0.8897 | 0.4756 |
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+ | 0.4166 | 3.0 | 304 | 0.3724 | 0.8445 | 0.8489 | 0.9138 | 0.3724 |
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+ | 0.3405 | 3.98 | 404 | 0.3554 | 0.8507 | 0.8568 | 0.9199 | 0.3554 |
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  ### Framework versions
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