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End of training

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  1. README.md +20 -18
  2. model.safetensors +1 -1
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-task3-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: 0.0525
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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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@@ -41,24 +38,29 @@ 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: 7
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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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- | 0.0029 | 1.0 | 500 | 0.1278 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0307 | 2.0 | 1000 | 0.1040 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0642 | 3.0 | 1500 | 0.0609 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0551 | 4.0 | 2000 | 0.0546 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0543 | 5.0 | 2500 | 0.0536 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0526 | 6.0 | 3000 | 0.0539 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.0557 | 7.0 | 3500 | 0.0525 | 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-task3-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: 1.3598
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+ - F1: 0.14
 
 
 
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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: 12
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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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+ | 1.4992 | 1.0 | 250 | 1.4459 | 0.118 |
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+ | 1.5898 | 2.0 | 500 | 1.4330 | 0.106 |
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+ | 1.5839 | 3.0 | 750 | 1.3671 | 0.13 |
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+ | 1.5286 | 4.0 | 1000 | 1.3848 | 0.126 |
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+ | 1.4995 | 5.0 | 1250 | 1.3687 | 0.124 |
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+ | 1.4655 | 6.0 | 1500 | 1.3782 | 0.124 |
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+ | 1.4635 | 7.0 | 1750 | 1.3919 | 0.132 |
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+ | 1.4354 | 8.0 | 2000 | 1.3583 | 0.132 |
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+ | 1.4306 | 9.0 | 2250 | 1.3626 | 0.142 |
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+ | 1.4104 | 10.0 | 2500 | 1.3575 | 0.14 |
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+ | 1.3979 | 11.0 | 2750 | 1.3575 | 0.144 |
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+ | 1.3996 | 12.0 | 3000 | 1.3598 | 0.14 |
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  ### Framework versions
model.safetensors CHANGED
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