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roberta-base_immifilms

Text Classification
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roberta
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  1. README.md +8 -10
  2. logs/events.out.tfevents.1702229150.a86980be031b.215.7 +2 -2
  3. model.safetensors +1 -1
  4. tokenizer.json +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5713
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  ## Model description
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@@ -34,25 +34,23 @@ More information needed
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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: 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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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6371 | 1.0 | 874 | 0.5714 |
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- | 0.4772 | 2.0 | 1748 | 0.4770 |
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- | 0.3336 | 3.0 | 2622 | 0.5198 |
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- | 0.2174 | 4.0 | 3496 | 0.4755 |
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- | 0.141 | 5.0 | 4370 | 0.5713 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4183
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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: 48
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+ - eval_batch_size: 48
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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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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6532 | 1.0 | 586 | 0.5639 |
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+ | 0.4884 | 2.0 | 1172 | 0.4635 |
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+ | 0.3384 | 3.0 | 1758 | 0.4183 |
 
 
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  ### Framework versions
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tokenizer.json CHANGED
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  "truncation": {
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