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mt5-small-task1-dataset1

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text2text-generation
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ZhiguangHan commited on
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End of training

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  1. README.md +18 -19
README.md CHANGED
@@ -4,7 +4,7 @@ base_model: google/mt5-small
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  tags:
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  - generated_from_trainer
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  metrics:
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- - rouge
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  model-index:
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  - name: mt5-small-task1-dataset1
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  results: []
@@ -17,11 +17,8 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4728
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- - Rouge1: 0.0
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- - Rouge2: 0.0
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- - Rougel: 0.0
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- - Rougelsum: 0.0
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  ## Model description
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@@ -41,25 +38,27 @@ More information needed
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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: 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: 8
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | 4.2448 | 1.0 | 500 | 0.8911 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.8138 | 2.0 | 1000 | 0.6679 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.5751 | 3.0 | 1500 | 0.5918 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4767 | 4.0 | 2000 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4308 | 5.0 | 2500 | 0.5080 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.393 | 6.0 | 3000 | 0.4732 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.3691 | 7.0 | 3500 | 0.4692 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.3682 | 8.0 | 4000 | 0.4728 | 0.0 | 0.0 | 0.0 | 0.0 |
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  metrics:
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+ - f1
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  model-index:
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  - name: mt5-small-task1-dataset1
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  results: []
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4483
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+ - F1: 0.618
 
 
 
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  ## Model description
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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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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----:|
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+ | 1.2788 | 1.0 | 250 | 0.8203 | 0.258 |
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+ | 1.0498 | 2.0 | 500 | 0.7218 | 0.326 |
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+ | 0.8677 | 3.0 | 750 | 0.6356 | 0.462 |
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+ | 0.7686 | 4.0 | 1000 | 0.5691 | 0.504 |
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+ | 0.6751 | 5.0 | 1250 | 0.5218 | 0.58 |
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+ | 0.6114 | 6.0 | 1500 | 0.4952 | 0.594 |
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+ | 0.5776 | 7.0 | 1750 | 0.4841 | 0.598 |
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+ | 0.5673 | 8.0 | 2000 | 0.4616 | 0.608 |
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+ | 0.5344 | 9.0 | 2250 | 0.4520 | 0.614 |
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+ | 0.5276 | 10.0 | 2500 | 0.4483 | 0.618 |
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  ### Framework versions