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distilbert-base-uncased-classifier

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

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  1. README.md +16 -16
  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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2977
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- - Accuracy: 0.8746
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- - F1: 0.7740
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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- | No log | 0 | 0 | 0.6553 | 0.7464 | 0.0 |
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- | No log | 0.1012 | 79 | 0.4124 | 0.8141 | 0.6846 |
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- | No log | 0.2023 | 158 | 0.3313 | 0.8703 | 0.7188 |
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- | No log | 0.3035 | 237 | 0.3003 | 0.8732 | 0.725 |
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- | No log | 0.4046 | 316 | 0.3181 | 0.8674 | 0.7629 |
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- | No log | 0.5058 | 395 | 0.3221 | 0.8660 | 0.7559 |
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- | No log | 0.6069 | 474 | 0.3041 | 0.8746 | 0.768 |
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- | 0.3887 | 0.7081 | 553 | 0.2825 | 0.8876 | 0.7809 |
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- | 0.3887 | 0.8092 | 632 | 0.2876 | 0.8862 | 0.7824 |
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- | 0.3887 | 0.9104 | 711 | 0.2977 | 0.8746 | 0.7740 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2565
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+ - Accuracy: 0.8991
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+ - F1: 0.8045
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 0 | 0 | 0.7631 | 0.2536 | 0.4046 |
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+ | No log | 0.2020 | 79 | 0.3566 | 0.8559 | 0.6689 |
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+ | No log | 0.4041 | 158 | 0.3387 | 0.8573 | 0.7506 |
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+ | No log | 0.6061 | 237 | 0.2934 | 0.8804 | 0.7688 |
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+ | No log | 0.8082 | 316 | 0.2863 | 0.8890 | 0.7947 |
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+ | No log | 1.0102 | 395 | 0.2716 | 0.8876 | 0.7869 |
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+ | No log | 1.2123 | 474 | 0.2799 | 0.8905 | 0.7877 |
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+ | 0.3458 | 1.4143 | 553 | 0.2581 | 0.8977 | 0.8033 |
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+ | 0.3458 | 1.6164 | 632 | 0.2539 | 0.8977 | 0.8011 |
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+ | 0.3458 | 1.8184 | 711 | 0.2565 | 0.8991 | 0.8045 |
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  ### Framework versions
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