Zelyanoth commited on
Commit
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1 Parent(s): bcb61a0

End of training

Browse files
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 7.5841
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Zelyanoth/my_fon_translation_model](https://huggingface.co/Zelyanoth/my_fon_translation_model) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.1238
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- - Bleu: 7.5841
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- - Gen Len: 8.637
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  ## Model description
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@@ -52,7 +52,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1.95e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -64,14 +64,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
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- | 1.095 | 1.0 | 13165 | 5.3184 | 6.334 | 8.369 |
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- | 0.9413 | 2.0 | 26330 | 5.7203 | 5.594 | 8.7455 |
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- | 0.8344 | 3.0 | 39495 | 5.8087 | 6.6194 | 8.4361 |
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- | 0.7357 | 4.0 | 52660 | 5.9580 | 6.4945 | 8.6002 |
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- | 0.6991 | 5.0 | 65825 | 5.9632 | 6.9872 | 8.656 |
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- | 0.642 | 6.0 | 78990 | 6.0651 | 7.5597 | 8.3432 |
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- | 0.6156 | 7.0 | 92155 | 6.1187 | 7.3866 | 8.7314 |
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- | 0.5699 | 8.0 | 105320 | 6.1238 | 7.5841 | 8.637 |
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  ### Framework versions
 
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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 8.059
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [Zelyanoth/my_fon_translation_model](https://huggingface.co/Zelyanoth/my_fon_translation_model) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.1298
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+ - Bleu: 8.059
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+ - Gen Len: 8.4704
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 4.6e-08
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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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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
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+ | 0.5745 | 1.0 | 13165 | 6.1275 | 7.8417 | 8.5553 |
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+ | 0.564 | 2.0 | 26330 | 6.1295 | 7.8534 | 8.5544 |
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+ | 0.5611 | 3.0 | 39495 | 6.1291 | 7.8887 | 8.5456 |
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+ | 0.5538 | 4.0 | 52660 | 6.1288 | 7.7891 | 8.5627 |
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+ | 0.566 | 5.0 | 65825 | 6.1296 | 8.0473 | 8.4714 |
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+ | 0.5745 | 6.0 | 78990 | 6.1297 | 8.059 | 8.4695 |
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+ | 0.5638 | 7.0 | 92155 | 6.1298 | 8.0595 | 8.47 |
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+ | 0.5666 | 8.0 | 105320 | 6.1298 | 8.059 | 8.4704 |
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  ### Framework versions
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