nazemi commited on
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End of training

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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 [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4813
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  ## Model description
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@@ -35,8 +35,8 @@ More information needed
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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: 4
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- - eval_batch_size: 4
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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
@@ -46,16 +46,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 15.6709 | 1.0 | 26 | 11.0887 |
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- | 6.7694 | 2.0 | 52 | 5.8590 |
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- | 2.3307 | 3.0 | 78 | 3.1000 |
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- | 2.8756 | 4.0 | 104 | 1.5217 |
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- | 1.3362 | 5.0 | 130 | 0.9868 |
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- | 2.5012 | 6.0 | 156 | 0.7289 |
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- | 1.6317 | 7.0 | 182 | 0.5822 |
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- | 1.6992 | 8.0 | 208 | 0.5199 |
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- | 0.8064 | 9.0 | 234 | 0.4914 |
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- | 2.8149 | 10.0 | 260 | 0.4813 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9452
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 14.6117 | 1.0 | 13 | 12.1354 |
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+ | 4.7373 | 2.0 | 26 | 5.1054 |
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+ | 1.7596 | 3.0 | 39 | 3.2154 |
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+ | 1.3121 | 4.0 | 52 | 2.1497 |
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+ | 1.1923 | 5.0 | 65 | 1.6547 |
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+ | 0.3427 | 6.0 | 78 | 1.2120 |
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+ | 0.3447 | 7.0 | 91 | 1.1350 |
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+ | 1.8694 | 8.0 | 104 | 0.9754 |
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+ | 0.7097 | 9.0 | 117 | 0.9623 |
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+ | 1.4038 | 10.0 | 130 | 0.9452 |
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  ### Framework versions
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