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LogischeIP
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SentimentT2

Text Classification
Transformers
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Safetensors
distilbert
Generated from Trainer
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End of training

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  1. README.md +10 -10
  2. added_tokens.json +3 -0
  3. merges.txt +0 -0
  4. model.safetensors +1 -1
  5. runs/Jan24_21-40-26_7d2b1e2d4e1a/events.out.tfevents.1706132427.7d2b1e2d4e1a.48811.4 +3 -0
  6. tokenizer.json +0 -0
  7. training_args.bin +1 -1
  8. vocab.json +0 -0
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: 0.3554
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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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@@ -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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- | 0.6935 | 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
@@ -68,4 +68,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.0
 
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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: 0.3267
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+ - Accuracy: 0.8657
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+ - F1: 0.8683
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+ - Auc Roc: 0.9348
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+ - Log Loss: 0.3267
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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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+ | 0.6996 | 1.0 | 101 | 0.6830 | 0.6692 | 0.5957 | 0.7499 | 0.6830 |
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+ | 0.6199 | 2.0 | 203 | 0.4744 | 0.8122 | 0.8286 | 0.9043 | 0.4744 |
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+ | 0.4139 | 3.0 | 304 | 0.3610 | 0.8495 | 0.8459 | 0.9275 | 0.3610 |
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+ | 0.3337 | 3.98 | 404 | 0.3267 | 0.8657 | 0.8683 | 0.9348 | 0.3267 |
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  ### Framework versions
 
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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vocab.json ADDED
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