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distilbert-base-uncased-classifier

Text Classification
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Safetensors
distilbert
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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. training_args.bin +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: 0.3182
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- - Accuracy: 0.8793
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- - F1: 0.7882
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  ## Model description
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@@ -46,17 +46,17 @@ The following hyperparameters were used during training:
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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 | 0.7029 | 0.3189 | 0.4312 |
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- | No log | 0.4026 | 126 | 0.3813 | 0.8241 | 0.6646 |
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- | No log | 0.8051 | 252 | 0.3376 | 0.8601 | 0.7525 |
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- | No log | 1.2077 | 378 | 0.3231 | 0.8737 | 0.7656 |
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- | 0.3447 | 1.6102 | 504 | 0.3236 | 0.8793 | 0.7882 |
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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: 0.3153
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+ - Accuracy: 0.8833
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+ - F1: 0.7961
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  ## Model description
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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: 3
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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 | 0.6946 | 0.4556 | 0.3792 |
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+ | No log | 0.6006 | 188 | 0.3660 | 0.8457 | 0.7207 |
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+ | No log | 1.2013 | 376 | 0.3200 | 0.8777 | 0.7692 |
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+ | 0.3454 | 1.8019 | 564 | 0.3075 | 0.8801 | 0.7875 |
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+ | 0.3454 | 2.4026 | 752 | 0.3209 | 0.8769 | 0.7913 |
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  ### Framework versions
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