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End of training

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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- base_model: distilbert/distilroberta-base
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -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 [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9088
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  ## Model description
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@@ -34,33 +34,63 @@ 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: 0.0005
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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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 199 | 1.7154 |
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- | No log | 2.0 | 398 | 1.5037 |
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- | 1.9788 | 3.0 | 597 | 1.3993 |
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- | 1.9788 | 4.0 | 796 | 1.3026 |
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- | 1.9788 | 5.0 | 995 | 1.2332 |
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- | 1.3929 | 6.0 | 1194 | 1.1941 |
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- | 1.3929 | 7.0 | 1393 | 1.1367 |
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- | 1.1697 | 8.0 | 1592 | 1.1049 |
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- | 1.1697 | 9.0 | 1791 | 1.0715 |
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- | 1.1697 | 10.0 | 1990 | 1.0183 |
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- | 1.0298 | 11.0 | 2189 | 1.0175 |
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- | 1.0298 | 12.0 | 2388 | 0.9541 |
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- | 0.9012 | 13.0 | 2587 | 0.9291 |
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- | 0.9012 | 14.0 | 2786 | 0.8999 |
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- | 0.9012 | 15.0 | 2985 | 0.9088 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
 
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  license: apache-2.0
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+ base_model: distilbert/distilroberta-base
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7996
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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: 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: 45
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 199 | 1.7128 |
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+ | No log | 2.0 | 398 | 1.4856 |
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+ | 1.8719 | 3.0 | 597 | 1.3661 |
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+ | 1.8719 | 4.0 | 796 | 1.2638 |
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+ | 1.8719 | 5.0 | 995 | 1.1847 |
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+ | 1.3663 | 6.0 | 1194 | 1.1849 |
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+ | 1.3663 | 7.0 | 1393 | 1.1757 |
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+ | 1.2108 | 8.0 | 1592 | 1.1026 |
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+ | 1.2108 | 9.0 | 1791 | 1.0826 |
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+ | 1.2108 | 10.0 | 1990 | 1.0609 |
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+ | 1.1079 | 11.0 | 2189 | 1.0221 |
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+ | 1.1079 | 12.0 | 2388 | 1.0199 |
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+ | 1.0428 | 13.0 | 2587 | 0.9990 |
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+ | 1.0428 | 14.0 | 2786 | 1.0083 |
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+ | 1.0428 | 15.0 | 2985 | 0.9905 |
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+ | 0.9911 | 16.0 | 3184 | 0.9492 |
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+ | 0.9911 | 17.0 | 3383 | 0.9526 |
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+ | 0.9391 | 18.0 | 3582 | 0.9219 |
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+ | 0.9391 | 19.0 | 3781 | 0.9228 |
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+ | 0.9391 | 20.0 | 3980 | 0.9183 |
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+ | 0.9078 | 21.0 | 4179 | 0.9276 |
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+ | 0.9078 | 22.0 | 4378 | 0.8874 |
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+ | 0.8727 | 23.0 | 4577 | 0.8856 |
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+ | 0.8727 | 24.0 | 4776 | 0.8899 |
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+ | 0.8727 | 25.0 | 4975 | 0.8836 |
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+ | 0.8513 | 26.0 | 5174 | 0.8790 |
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+ | 0.8513 | 27.0 | 5373 | 0.8835 |
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+ | 0.8145 | 28.0 | 5572 | 0.8583 |
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+ | 0.8145 | 29.0 | 5771 | 0.8498 |
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+ | 0.8145 | 30.0 | 5970 | 0.8530 |
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+ | 0.8085 | 31.0 | 6169 | 0.8409 |
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+ | 0.8085 | 32.0 | 6368 | 0.8196 |
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+ | 0.7783 | 33.0 | 6567 | 0.8311 |
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+ | 0.7783 | 34.0 | 6766 | 0.8301 |
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+ | 0.7783 | 35.0 | 6965 | 0.8370 |
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+ | 0.7639 | 36.0 | 7164 | 0.8321 |
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+ | 0.7639 | 37.0 | 7363 | 0.8226 |
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+ | 0.757 | 38.0 | 7562 | 0.8361 |
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+ | 0.757 | 39.0 | 7761 | 0.8236 |
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+ | 0.757 | 40.0 | 7960 | 0.8255 |
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+ | 0.7483 | 41.0 | 8159 | 0.8305 |
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+ | 0.7483 | 42.0 | 8358 | 0.8057 |
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+ | 0.7449 | 43.0 | 8557 | 0.8251 |
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+ | 0.7449 | 44.0 | 8756 | 0.8014 |
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+ | 0.7449 | 45.0 | 8955 | 0.7996 |
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  ### Framework versions
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