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email_classifier_ai_v1

Text Classification
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distilbert
Generated from Trainer
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  1. README.md +15 -11
  2. model.safetensors +1 -1
  3. runs/May08_05-22-03_894463e7aead/events.out.tfevents.1746681729.894463e7aead.244.2 +2 -2
README.md CHANGED
@@ -6,6 +6,7 @@ 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: email_classifier_ai_v1
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  results: []
@@ -16,10 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # email_classifier_ai_v1
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.0106
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  - Accuracy: 1.0
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-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: 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: 3.0
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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 | 30 | 0.1265 | 1.0 |
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- | No log | 2.0 | 60 | 0.0150 | 1.0 |
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- | No log | 3.0 | 90 | 0.0106 | 1.0 |
 
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  ### Framework versions
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  - Transformers 4.51.3
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  - Pytorch 2.6.0+cu124
 
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  - Tokenizers 0.21.1
 
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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: email_classifier_ai_v1
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  results: []
 
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  # email_classifier_ai_v1
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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: 0.0175
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  - Accuracy: 1.0
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+ - F1: 1.0
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  ## Model description
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  ### Training hyperparameters
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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: 4
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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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+ | 0.0971 | 1.0 | 15 | 0.0445 | 1.0 | 1.0 |
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+ | 0.0407 | 2.0 | 30 | 0.0249 | 1.0 | 1.0 |
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+ | 0.0269 | 3.0 | 45 | 0.0190 | 1.0 | 1.0 |
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+ | 0.0224 | 4.0 | 60 | 0.0175 | 1.0 | 1.0 |
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  ### Framework versions
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  - Transformers 4.51.3
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  - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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  - Tokenizers 0.21.1
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