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mt5-small-finetuned-amazon-en-de

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mt5
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gsvann/mt5-small-finetuned-amazon-toys-en-de

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  1. README.md +14 -14
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6132
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- - Rouge1: 18.5886
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- - Rouge2: 10.4761
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- - Rougel: 17.9705
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- - Rougelsum: 18.2467
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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: 5.6e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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- | 3.0822 | 1.0 | 651 | 2.6232 | 17.8834 | 11.2967 | 17.4489 | 17.73 |
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- | 2.9301 | 2.0 | 1302 | 2.6265 | 18.3784 | 11.1587 | 18.0152 | 18.1896 |
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- | 2.8552 | 3.0 | 1953 | 2.6223 | 18.7889 | 11.1004 | 18.2222 | 18.4583 |
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- | 2.8253 | 4.0 | 2604 | 2.6080 | 18.2031 | 10.2714 | 17.748 | 17.8395 |
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- | 2.8044 | 5.0 | 3255 | 2.6154 | 18.5675 | 10.5794 | 17.967 | 18.2698 |
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- | 2.7928 | 6.0 | 3906 | 2.6132 | 18.5886 | 10.4761 | 17.9705 | 18.2467 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5965
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+ - Rouge1: 19.1764
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+ - Rouge2: 10.6855
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+ - Rougel: 18.7602
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+ - Rougelsum: 18.8956
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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: 5.5e-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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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 2.9041 | 1.0 | 1301 | 2.6000 | 17.3749 | 10.0728 | 16.9903 | 17.0336 |
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+ | 2.744 | 2.0 | 2602 | 2.5874 | 17.7266 | 9.2481 | 17.2785 | 17.3827 |
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+ | 2.6641 | 3.0 | 3903 | 2.6001 | 19.0052 | 10.6312 | 18.7604 | 18.754 |
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+ | 2.6189 | 4.0 | 5204 | 2.6012 | 18.834 | 10.1299 | 18.4209 | 18.5351 |
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+ | 2.6029 | 5.0 | 6505 | 2.5944 | 19.3375 | 10.537 | 18.8614 | 19.0826 |
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+ | 2.6086 | 6.0 | 7806 | 2.5965 | 19.1764 | 10.6855 | 18.7602 | 18.8956 |
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  ### Framework versions
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