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ltuzova
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imdb_classification_roberta

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
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ltuzova commited on
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Training in progress, epoch 2

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  1. README.md +15 -10
  2. model.safetensors +1 -1
  3. runs/Apr11_06-02-49_a649bff23370/events.out.tfevents.1712815371.a649bff23370.1046.0 +2 -2
  4. runs/Apr12_17-53-25_01a64bbb6e88/events.out.tfevents.1712944407.01a64bbb6e88.265.0 +3 -0
  5. runs/Apr12_17-54-15_01a64bbb6e88/events.out.tfevents.1712944456.01a64bbb6e88.265.1 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1784
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- - Accuracy: 0.9508
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- - F1 Macro: 0.9508
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | 0.2561 | 1.0 | 1250 | 0.2162 | 0.9334 | 0.9334 |
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- | 0.1695 | 2.0 | 2500 | 0.1870 | 0.9464 | 0.9464 |
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- | 0.1419 | 3.0 | 3750 | 0.2167 | 0.9526 | 0.9526 |
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- | 0.0675 | 4.0 | 5000 | 0.2292 | 0.9528 | 0.9528 |
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- | 0.0435 | 5.0 | 6250 | 0.3243 | 0.9484 | 0.9484 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4875
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+ - Accuracy: 0.9528
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+ - F1 Macro: 0.9528
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
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+ | 0.2908 | 1.0 | 1250 | 0.2142 | 0.932 | 0.9320 |
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+ | 0.1622 | 2.0 | 2500 | 0.1922 | 0.9466 | 0.9466 |
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+ | 0.1209 | 3.0 | 3750 | 0.2954 | 0.946 | 0.9460 |
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+ | 0.0637 | 4.0 | 5000 | 0.3002 | 0.9442 | 0.9442 |
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+ | 0.0704 | 5.0 | 6250 | 0.2952 | 0.9458 | 0.9458 |
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+ | 0.0353 | 6.0 | 7500 | 0.3503 | 0.9504 | 0.9504 |
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+ | 0.0105 | 7.0 | 8750 | 0.4805 | 0.943 | 0.9430 |
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+ | 0.0011 | 8.0 | 10000 | 0.4801 | 0.9492 | 0.9492 |
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+ | 0.011 | 9.0 | 11250 | 0.5184 | 0.9488 | 0.9488 |
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+ | 0.0013 | 10.0 | 12500 | 0.5328 | 0.9486 | 0.9486 |
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  ### Framework versions
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