davidruda
/

opus-mt-cs-en-Prefix-Finetuned

text2text-generation

Generated from Trainer

simultaneous-translation

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davidruda commited on May 14

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9545c09

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1 Parent(s): db54055

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README.md +9 -9
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README.md CHANGED Viewed

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-cs-en](https://huggingface.co/Helsinki-NLP/opus-mt-cs-en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7174
-- Model Preparation Time: 0.0029
-- Bleu: 63.1928
 ## Model description
@@ -45,18 +45,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 5
 - mixed_precision_training: Native AMP
 ### Training results
 | Training Loss | Epoch | Step  | Validation Loss | Model Preparation Time | Bleu    |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:-------:|
-| 0.7958        | 1.0   | 3143  | 0.7397          | 0.0029                 | 62.2748 |
-| 0.7348        | 2.0   | 6286  | 0.7232          | 0.0029                 | 62.5496 |
-| 0.6889        | 3.0   | 9429  | 0.7207          | 0.0029                 | 63.1060 |
-| 0.663         | 4.0   | 12572 | 0.7193          | 0.0029                 | 63.2552 |
-| 0.6482        | 5.0   | 15715 | 0.7174          | 0.0029                 | 63.1928 |
 ### Framework versions

 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-cs-en](https://huggingface.co/Helsinki-NLP/opus-mt-cs-en) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6820
+- Model Preparation Time: 0.0019
+- Bleu: 64.2718
 ## Model description
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 ### Training results
 | Training Loss | Epoch | Step  | Validation Loss | Model Preparation Time | Bleu    |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:-------:|
+| 0.749         | 1.0   | 7881  | 0.7074          | 0.0019                 | 63.3123 |
+| 0.6925        | 2.0   | 15762 | 0.6927          | 0.0019                 | 63.9972 |
+| 0.6529        | 3.0   | 23643 | 0.6869          | 0.0019                 | 64.4592 |
+| 0.626         | 4.0   | 31524 | 0.6817          | 0.0019                 | 63.8378 |
+| 0.5989        | 5.0   | 39405 | 0.6820          | 0.0019                 | 64.2718 |
 ### Framework versions

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