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my_fon_translation_model

Text2Text Generation
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  1. README.md +14 -17
  2. model.safetensors +1 -1
  3. runs/Jun04_14-00-23_3f17f0eecc64/events.out.tfevents.1717509891.3f17f0eecc64.25.0 +3 -0
  4. runs/Jun04_14-00-23_3f17f0eecc64/events.out.tfevents.1717536982.3f17f0eecc64.25.1 +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: 4.6993
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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: 5.3862
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- - Bleu: 4.6993
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- - Gen Len: 8.9558
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  ## Model description
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@@ -52,27 +52,24 @@ 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: 1.87e-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: 9
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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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- | 1.3141 | 1.0 | 13165 | 5.0069 | 3.3364 | 9.1891 |
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- | 1.1534 | 2.0 | 26330 | 5.1888 | 3.7137 | 9.1076 |
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- | 1.1158 | 3.0 | 39495 | 5.1695 | 4.1907 | 8.9998 |
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- | 0.9801 | 4.0 | 52660 | 5.2281 | 4.2697 | 8.8066 |
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- | 0.941 | 5.0 | 65825 | 5.3425 | 4.3691 | 9.0261 |
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- | 0.8676 | 6.0 | 78990 | 5.3371 | 4.0892 | 9.3749 |
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- | 0.8247 | 7.0 | 92155 | 5.3622 | 4.4876 | 9.1058 |
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- | 0.7925 | 8.0 | 105320 | 5.3538 | 4.728 | 8.9704 |
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- | 0.7639 | 9.0 | 118485 | 5.3862 | 4.6993 | 8.9558 |
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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: 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
 
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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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  ### 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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