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Oysiyl
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elvish-translator-quenya-t5-small

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End of training

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Files changed (13) hide show
  1. README.md +13 -9
  2. model.safetensors +1 -1
  3. runs/Sep17_19-06-04_ip-10-192-12-112/events.out.tfevents.1726599970.ip-10-192-12-112.1319.9 +3 -0
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  6. runs/Sep17_19-21-44_ip-10-192-12-112/events.out.tfevents.1726600908.ip-10-192-12-112.1319.12 +3 -0
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  8. runs/Sep17_19-26-18_ip-10-192-12-112/events.out.tfevents.1726601183.ip-10-192-12-112.1319.14 +3 -0
  9. runs/Sep17_19-29-03_ip-10-192-12-112/events.out.tfevents.1726601349.ip-10-192-12-112.1319.15 +3 -0
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  11. runs/Sep17_19-31-19_ip-10-192-12-112/events.out.tfevents.1726601486.ip-10-192-12-112.1319.17 +3 -0
  12. tokenizer.json +1 -6
  13. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.4268
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- - Bleu: 0.0
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- - Gen Len: 16.7639
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 1
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- - eval_batch_size: 1
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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: 1
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  - mixed_precision_training: Native AMP
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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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- | 4.7866 | 1.0 | 576 | 4.4268 | 0.0 | 16.7639 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.1552
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+ - Bleu: 0.0813
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+ - Gen Len: 16.4792
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 5
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  - mixed_precision_training: Native AMP
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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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+ | 4.9485 | 1.0 | 144 | 4.4460 | 0.0 | 16.875 |
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+ | 4.515 | 2.0 | 288 | 4.2735 | 0.0 | 16.625 |
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+ | 4.3579 | 3.0 | 432 | 4.1977 | 0.0 | 16.7014 |
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+ | 4.3095 | 4.0 | 576 | 4.1644 | 0.0818 | 16.5417 |
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+ | 4.2744 | 5.0 | 720 | 4.1552 | 0.0813 | 16.4792 |
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  ### Framework versions
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