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mt5-small-task3-dataset4

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  2. model.safetensors +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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6010
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- - Accuracy: 0.036
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- - Mse: 6.3081
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- - Log-distance: 0.6632
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- - S Score: 0.4988
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  ## Model description
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@@ -46,24 +46,22 @@ 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 | Mse | Log-distance | S Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------------:|:-------:|
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- | 10.7728 | 1.0 | 250 | 2.2587 | 0.022 | 7.0471 | 0.7963 | 0.4292 |
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- | 3.1044 | 2.0 | 500 | 1.8035 | 0.014 | 5.9086 | 0.7763 | 0.4340 |
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- | 2.3369 | 3.0 | 750 | 1.6404 | 0.058 | 7.0001 | 0.6805 | 0.4972 |
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- | 2.0228 | 4.0 | 1000 | 1.6106 | 0.056 | 6.9718 | 0.6808 | 0.4948 |
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- | 1.8688 | 5.0 | 1250 | 1.5910 | 0.044 | 5.8977 | 0.7091 | 0.4624 |
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- | 1.8065 | 6.0 | 1500 | 1.6321 | 0.036 | 6.2658 | 0.6631 | 0.4992 |
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- | 1.7671 | 7.0 | 1750 | 1.5987 | 0.058 | 6.9883 | 0.6792 | 0.4976 |
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- | 1.7373 | 8.0 | 2000 | 1.6174 | 0.06 | 6.9132 | 0.6780 | 0.4960 |
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- | 1.7366 | 9.0 | 2250 | 1.6105 | 0.042 | 6.6193 | 0.6712 | 0.4976 |
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- | 1.7201 | 10.0 | 2500 | 1.6123 | 0.038 | 6.5863 | 0.6745 | 0.4960 |
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- | 1.7171 | 11.0 | 2750 | 1.6034 | 0.032 | 6.1936 | 0.6719 | 0.4908 |
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- | 1.7001 | 12.0 | 3000 | 1.6010 | 0.036 | 6.3081 | 0.6632 | 0.4988 |
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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: 1.5832
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+ - Accuracy: 0.056
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+ - Mse: 6.6919
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+ - Log-distance: 0.6837
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+ - S Score: 0.4844
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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 | Mse | Log-distance | S Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------------:|:-------:|
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+ | 10.6622 | 1.0 | 250 | 2.1479 | 0.032 | 7.8307 | 0.8081 | 0.4244 |
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+ | 3.1421 | 2.0 | 500 | 1.8253 | 0.044 | 5.7385 | 0.6844 | 0.4892 |
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+ | 2.3451 | 3.0 | 750 | 1.6174 | 0.04 | 5.5959 | 0.6980 | 0.4832 |
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+ | 2.0073 | 4.0 | 1000 | 1.5994 | 0.046 | 6.2422 | 0.6708 | 0.4940 |
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+ | 1.8357 | 5.0 | 1250 | 1.5867 | 0.05 | 6.2493 | 0.6727 | 0.4936 |
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+ | 1.7782 | 6.0 | 1500 | 1.5800 | 0.048 | 6.0314 | 0.6621 | 0.4980 |
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+ | 1.7333 | 7.0 | 1750 | 1.5733 | 0.056 | 6.8849 | 0.6908 | 0.4816 |
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+ | 1.7219 | 8.0 | 2000 | 1.6012 | 0.056 | 6.7969 | 0.6872 | 0.4828 |
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+ | 1.6886 | 9.0 | 2250 | 1.5849 | 0.038 | 6.1512 | 0.6683 | 0.4976 |
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+ | 1.6804 | 10.0 | 2500 | 1.5832 | 0.056 | 6.6919 | 0.6837 | 0.4844 |
 
 
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  ### Framework versions
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