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End of training

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  1. README.md +17 -12
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1098
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  ## Model description
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@@ -40,22 +40,27 @@ 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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.1985 | 1.0 | 3523 | 0.1566 |
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- | 0.164 | 2.0 | 7046 | 0.1360 |
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- | 0.1489 | 3.0 | 10569 | 0.1265 |
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- | 0.1437 | 4.0 | 14092 | 0.1201 |
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- | 0.1317 | 5.0 | 17615 | 0.1163 |
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- | 0.1281 | 6.0 | 21138 | 0.1141 |
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- | 0.1229 | 7.0 | 24661 | 0.1121 |
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- | 0.1189 | 8.0 | 28184 | 0.1105 |
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- | 0.1169 | 9.0 | 31707 | 0.1102 |
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- | 0.1173 | 10.0 | 35230 | 0.1098 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1029
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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 |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.1992 | 1.0 | 3523 | 0.1566 |
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+ | 0.1688 | 2.0 | 7046 | 0.1350 |
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+ | 0.1494 | 3.0 | 10569 | 0.1247 |
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+ | 0.135 | 4.0 | 14092 | 0.1198 |
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+ | 0.1257 | 5.0 | 17615 | 0.1140 |
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+ | 0.1239 | 6.0 | 21138 | 0.1118 |
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+ | 0.1179 | 7.0 | 24661 | 0.1087 |
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+ | 0.1168 | 8.0 | 28184 | 0.1072 |
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+ | 0.1104 | 9.0 | 31707 | 0.1066 |
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+ | 0.1088 | 10.0 | 35230 | 0.1051 |
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+ | 0.1087 | 11.0 | 38753 | 0.1040 |
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+ | 0.1056 | 12.0 | 42276 | 0.1030 |
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+ | 0.1002 | 13.0 | 45799 | 0.1031 |
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+ | 0.1025 | 14.0 | 49322 | 0.1031 |
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+ | 0.1011 | 15.0 | 52845 | 0.1029 |
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  ### Framework versions