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End of training

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README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8421
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- - Rouge1: 0.1961
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- - Rouge2: 0.1049
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- - Rougel: 0.1705
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- - Rougelsum: 0.1707
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  - Gen Len: 19.0
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  ## Model description
@@ -43,8 +43,8 @@ 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: 1
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- - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 2.395 | 1.0 | 989 | 1.8823 | 0.193 | 0.1042 | 0.1686 | 0.1688 | 19.0 |
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- | 1.9058 | 2.0 | 1978 | 1.8421 | 0.1961 | 0.1049 | 0.1705 | 0.1707 | 19.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8450
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+ - Rouge1: 0.1993
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+ - Rouge2: 0.1092
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+ - Rougel: 0.172
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+ - Rougelsum: 0.1721
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  - Gen Len: 19.0
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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: 2
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+ - eval_batch_size: 2
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 495 | 1.8828 | 0.1975 | 0.108 | 0.1703 | 0.1703 | 19.0 |
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+ | 2.3191 | 2.0 | 990 | 1.8450 | 0.1993 | 0.1092 | 0.172 | 0.1721 | 19.0 |
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  ### Framework versions
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