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anuragrawal
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distilbert-base-uncased-finetuned

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +12 -17
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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: 1.0396
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- - Accuracy: 0.9000
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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: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:------:|:---------------:|:--------:|
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- | 0.34 | 1.0 | 10500 | 0.3049 | 0.8909 |
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- | 0.2648 | 2.0 | 21000 | 0.3869 | 0.8980 |
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- | 0.203 | 3.0 | 31500 | 0.4494 | 0.8969 |
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- | 0.1493 | 4.0 | 42000 | 0.5825 | 0.8958 |
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- | 0.1103 | 5.0 | 52500 | 0.6355 | 0.8983 |
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- | 0.0642 | 6.0 | 63000 | 0.7923 | 0.8981 |
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- | 0.0593 | 7.0 | 73500 | 0.8063 | 0.8969 |
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- | 0.0274 | 8.0 | 84000 | 0.8779 | 0.8997 |
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- | 0.0142 | 9.0 | 94500 | 0.9841 | 0.8993 |
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- | 0.0137 | 10.0 | 105000 | 1.0396 | 0.9000 |
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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: 0.7775
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+ - Accuracy: 0.8342
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.4489 | 1.0 | 3272 | 0.5503 | 0.7610 |
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+ | 0.3166 | 2.0 | 6544 | 0.4144 | 0.8378 |
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+ | 0.2093 | 3.0 | 9816 | 0.5677 | 0.8235 |
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+ | 0.165 | 4.0 | 13088 | 0.6269 | 0.8380 |
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+ | 0.1107 | 5.0 | 16360 | 0.7775 | 0.8342 |
 
 
 
 
 
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  ### Framework versions
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