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mt5-small-task3-dataset3

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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: 1.4093
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- - Accuracy: 0.128
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- - Mse: 1.5841
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- - Log-distance: 0.6809
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- - S Score: 0.4800
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  ## Model description
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@@ -46,24 +46,19 @@ 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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- | 2.1991 | 1.0 | 250 | 1.5275 | 0.106 | 1.7120 | 0.7824 | 0.4048 |
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- | 2.1115 | 2.0 | 500 | 1.5009 | 0.106 | 1.7469 | 0.8062 | 0.3844 |
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- | 1.8295 | 3.0 | 750 | 1.4483 | 0.108 | 1.7239 | 0.7902 | 0.3972 |
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- | 1.7033 | 4.0 | 1000 | 1.4335 | 0.112 | 1.7052 | 0.7759 | 0.4088 |
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- | 1.6426 | 5.0 | 1250 | 1.4224 | 0.12 | 1.5337 | 0.6427 | 0.5112 |
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- | 1.5923 | 6.0 | 1500 | 1.4236 | 0.126 | 1.6061 | 0.7015 | 0.4628 |
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- | 1.5529 | 7.0 | 1750 | 1.4284 | 0.122 | 1.5984 | 0.6967 | 0.4676 |
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- | 1.546 | 8.0 | 2000 | 1.4132 | 0.124 | 1.6032 | 0.6948 | 0.4704 |
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- | 1.5364 | 9.0 | 2250 | 1.4306 | 0.116 | 1.6403 | 0.7282 | 0.4460 |
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- | 1.5365 | 10.0 | 2500 | 1.4107 | 0.118 | 1.5702 | 0.6681 | 0.4948 |
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- | 1.5145 | 11.0 | 2750 | 1.4182 | 0.118 | 1.6041 | 0.7063 | 0.4596 |
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- | 1.5103 | 12.0 | 3000 | 1.4093 | 0.128 | 1.5841 | 0.6809 | 0.4800 |
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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: 1.4565
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+ - Accuracy: 0.124
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+ - Mse: 2.0170
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+ - Log-distance: 0.7037
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+ - S Score: 0.4680
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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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+ | 3.3423 | 1.0 | 250 | 1.5914 | 0.074 | 2.3687 | 0.6693 | 0.4992 |
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+ | 2.3267 | 2.0 | 500 | 1.6213 | 0.102 | 2.6627 | 0.7153 | 0.4836 |
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+ | 1.8968 | 3.0 | 750 | 1.4707 | 0.118 | 2.0674 | 0.7576 | 0.4228 |
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+ | 1.7414 | 4.0 | 1000 | 1.4367 | 0.124 | 2.0643 | 0.7534 | 0.4236 |
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+ | 1.6639 | 5.0 | 1250 | 1.4493 | 0.12 | 2.0268 | 0.7079 | 0.4624 |
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+ | 1.6088 | 6.0 | 1500 | 1.4538 | 0.116 | 1.9955 | 0.6762 | 0.4924 |
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+ | 1.5823 | 7.0 | 1750 | 1.4565 | 0.124 | 2.0170 | 0.7037 | 0.4680 |
 
 
 
 
 
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  ### Framework versions
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