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electricidad-small-finetuned-amazon-review-classification

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Richard Saavedra commited on
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End of training

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Files changed (3) hide show
  1. README.md +8 -11
  2. runs/Mar19_13-41-20_179a6121a7b2/events.out.tfevents.1647697364.179a6121a7b2.74.0 +2 -2
  3. runs/Mar19_13-41-20_179a6121a7b2/events.out.tfevents.1647703784.179a6121a7b2.74.2 +3 -0
README.md CHANGED
@@ -18,7 +18,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.5882
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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
@@ -28,8 +28,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on the amazon_reviews_multi dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9531
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- - Accuracy: 0.5882
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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: 32
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- - eval_batch_size: 32
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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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- | 1.0282 | 1.0 | 6250 | 1.0233 | 0.5478 |
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- | 0.9721 | 2.0 | 12500 | 1.0013 | 0.5592 |
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- | 0.9566 | 3.0 | 18750 | 0.9838 | 0.5638 |
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- | 0.9228 | 4.0 | 25000 | 0.9878 | 0.5586 |
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- | 0.9049 | 5.0 | 31250 | 0.9862 | 0.5648 |
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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: 0.581
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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 [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on the amazon_reviews_multi dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9601
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+ - Accuracy: 0.581
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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: 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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+ | 1.0136 | 1.0 | 25000 | 1.0153 | 0.5414 |
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+ | 0.9416 | 2.0 | 50000 | 0.9942 | 0.5576 |
 
 
 
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  ### Framework versions
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