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fine_tuned_2e-5

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roberta
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Arihant Tripathi commited on
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raid_roberta

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  1. README.md +11 -14
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0000
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- - Accuracy: 1.0
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  ## Model description
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@@ -37,7 +37,7 @@ 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: 1e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -49,17 +49,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.0632 | 0.25 | 100 | 0.0001 | 1.0 |
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- | 0.0001 | 0.5 | 200 | 0.0000 | 1.0 |
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- | 0.0013 | 0.75 | 300 | 0.0000 | 1.0 |
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- | 0.0001 | 1.01 | 400 | 0.0000 | 1.0 |
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- | 0.0 | 1.26 | 500 | 0.0000 | 1.0 |
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- | 0.0 | 1.51 | 600 | 0.0000 | 1.0 |
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- | 0.0 | 1.76 | 700 | 0.0000 | 1.0 |
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- | 0.0 | 2.01 | 800 | 0.0000 | 1.0 |
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- | 0.0 | 2.26 | 900 | 0.0000 | 1.0 |
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- | 0.0004 | 2.51 | 1000 | 0.0000 | 1.0 |
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- | 0.0 | 2.76 | 1100 | 0.0000 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0598
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+ - Accuracy: 0.99
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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: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.393 | 0.15 | 100 | 0.1670 | 0.97 |
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+ | 0.2681 | 0.3 | 200 | 0.2389 | 0.9583 |
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+ | 0.1241 | 0.44 | 300 | 0.0751 | 0.9883 |
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+ | 0.1371 | 0.59 | 400 | 0.0506 | 0.9867 |
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+ | 0.0888 | 0.74 | 500 | 0.0598 | 0.99 |
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+ | 0.1169 | 0.89 | 600 | 0.0633 | 0.9917 |
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+ | 0.0501 | 1.04 | 700 | 0.0804 | 0.9883 |
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+ | 0.0452 | 1.19 | 800 | 0.1110 | 0.9833 |
 
 
 
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  ### Framework versions
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