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Sif10
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my_awesome_model

Text Classification
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distilbert
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End of training

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Files changed (3) hide show
  1. README.md +17 -9
  2. model.safetensors +1 -1
  3. runs/Mar10_10-27-50_4898862b1567/events.out.tfevents.1710066470.4898862b1567.34.3 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.86232
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the imdb dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3596
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- - Accuracy: 0.8623
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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: 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: 2
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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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- | 0.3472 | 1.0 | 1563 | 0.3394 | 0.8505 |
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- | 0.2422 | 2.0 | 3126 | 0.3596 | 0.8623 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.85588
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the imdb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8771
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+ - Accuracy: 0.8559
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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: 1e-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: 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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+ | 0.3564 | 1.0 | 1563 | 0.3677 | 0.8426 |
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+ | 0.2878 | 2.0 | 3126 | 0.3378 | 0.8588 |
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+ | 0.2124 | 3.0 | 4689 | 0.4398 | 0.8550 |
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+ | 0.1556 | 4.0 | 6252 | 0.5750 | 0.8555 |
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+ | 0.1075 | 5.0 | 7815 | 0.6733 | 0.8558 |
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+ | 0.0831 | 6.0 | 9378 | 0.7218 | 0.8561 |
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+ | 0.0652 | 7.0 | 10941 | 0.7331 | 0.8564 |
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+ | 0.0458 | 8.0 | 12504 | 0.8166 | 0.8538 |
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+ | 0.0415 | 9.0 | 14067 | 0.8619 | 0.8568 |
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+ | 0.0357 | 10.0 | 15630 | 0.8771 | 0.8559 |
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  ### Framework versions
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