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Zelyanoth
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my_fon_translation_model

Text2Text Generation
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m2m_100
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End of training

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  1. README.md +16 -14
  2. model.safetensors +1 -1
  3. runs/Jun07_13-46-59_96a687e5e520/events.out.tfevents.1717768265.96a687e5e520.24.0 +3 -0
  4. runs/Jun07_13-46-59_96a687e5e520/events.out.tfevents.1717804403.96a687e5e520.24.1 +3 -0
  5. training_args.bin +1 -1
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: 4.6969
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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: 5.3872
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- - Bleu: 4.6969
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- - Gen Len: 8.9556
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  ## Model description
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@@ -52,24 +52,26 @@ 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: 9e-09
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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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  - 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: 6
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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- | 0.7451 | 1.0 | 13165 | 5.3867 | 4.7469 | 8.918 |
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- | 0.7486 | 2.0 | 26330 | 5.3869 | 4.6995 | 8.9539 |
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- | 0.7707 | 3.0 | 39495 | 5.3872 | 4.6971 | 8.9559 |
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- | 0.7498 | 4.0 | 52660 | 5.3872 | 4.6971 | 8.9558 |
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- | 0.7367 | 5.0 | 65825 | 5.3872 | 4.6969 | 8.9556 |
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- | 0.7424 | 6.0 | 78990 | 5.3872 | 4.6969 | 8.9556 |
 
 
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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: 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
 
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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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  ### 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
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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: 8
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  ### Training results
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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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