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Jnanesh12
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MyTextCheck

Text Classification
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distilbert
Generated from Trainer
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End of training

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Files changed (5) hide show
  1. README.md +11 -9
  2. model.safetensors +1 -1
  3. runs/Mar17_06-04-06_5b0d670d2842/events.out.tfevents.1710655482.5b0d670d2842.218.0 +3 -0
  4. tokenizer.json +8 -1
  5. training_args.bin +1 -1
README.md CHANGED
@@ -5,6 +5,7 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  model-index:
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  - name: MyTextCheck
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  results: []
@@ -17,8 +18,9 @@ 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: 0.9394
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- - Accuracy: 0.4898
 
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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
@@ -47,15 +49,15 @@ The following hyperparameters were used during training:
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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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- | No log | 1.0 | 37 | 0.9937 | 0.4830 |
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- | No log | 2.0 | 74 | 0.9394 | 0.4898 |
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  ### Framework versions
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  - Transformers 4.38.2
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
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+ - f1
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  model-index:
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  - name: MyTextCheck
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  results: []
 
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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: 0.2591
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+ - Accuracy: 0.9140
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+ - F1: 0.9138
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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: 64
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+ - eval_batch_size: 64
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 236 | 0.3098 | 0.8919 | 0.8917 |
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+ | No log | 2.0 | 472 | 0.2591 | 0.9140 | 0.9138 |
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  ### Framework versions
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  - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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