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mt5-small-task1-dataset2

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  1. README.md +18 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +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: 1.1512
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- - Accuracy: 0.176
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  ## Model description
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@@ -43,24 +43,27 @@ The following hyperparameters were used during training:
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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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 10.1566 | 1.0 | 250 | 2.1729 | 0.012 |
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- | 2.7222 | 2.0 | 500 | 1.8375 | 0.004 |
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- | 2.2156 | 3.0 | 750 | 1.6780 | 0.068 |
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- | 1.9891 | 4.0 | 1000 | 1.4901 | 0.098 |
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- | 1.7951 | 5.0 | 1250 | 1.4195 | 0.116 |
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- | 1.6179 | 6.0 | 1500 | 1.2971 | 0.136 |
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- | 1.5252 | 7.0 | 1750 | 1.2543 | 0.152 |
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- | 1.4486 | 8.0 | 2000 | 1.2054 | 0.162 |
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- | 1.3957 | 9.0 | 2250 | 1.1865 | 0.182 |
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- | 1.3609 | 10.0 | 2500 | 1.1656 | 0.176 |
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- | 1.3395 | 11.0 | 2750 | 1.1589 | 0.176 |
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- | 1.3295 | 12.0 | 3000 | 1.1512 | 0.176 |
 
 
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0670
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+ - Accuracy: 0.19
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  ## Model description
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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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 10.1157 | 1.0 | 250 | 2.0629 | 0.0 |
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+ | 2.7164 | 2.0 | 500 | 1.6984 | 0.092 |
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+ | 2.1384 | 3.0 | 750 | 1.6345 | 0.098 |
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+ | 1.8496 | 4.0 | 1000 | 1.5214 | 0.118 |
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+ | 1.6276 | 5.0 | 1250 | 1.3418 | 0.14 |
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+ | 1.469 | 6.0 | 1500 | 1.2577 | 0.15 |
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+ | 1.3461 | 7.0 | 1750 | 1.2325 | 0.162 |
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+ | 1.2791 | 8.0 | 2000 | 1.1790 | 0.16 |
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+ | 1.2349 | 9.0 | 2250 | 1.1320 | 0.174 |
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+ | 1.1826 | 10.0 | 2500 | 1.1118 | 0.176 |
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+ | 1.1504 | 11.0 | 2750 | 1.1063 | 0.19 |
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+ | 1.1327 | 12.0 | 3000 | 1.0731 | 0.186 |
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+ | 1.1168 | 13.0 | 3250 | 1.0617 | 0.186 |
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+ | 1.1038 | 14.0 | 3500 | 1.0735 | 0.182 |
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+ | 1.0929 | 15.0 | 3750 | 1.0670 | 0.19 |
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  ### Framework versions
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