End of training
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README.md
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metrics:
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- name: Bleu
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type: bleu
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value:
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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 [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the arrow dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Bleu:
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- Gen Len:
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| No log | 1.0 |
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| No log | 2.0 |
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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: 7.1794
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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 [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the arrow dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5644
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- Bleu: 7.1794
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- Gen Len: 60.0222
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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: 96
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- eval_batch_size: 96
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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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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| No log | 1.0 | 186 | 2.6868 | 0.299 | 76.178 |
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| No log | 2.0 | 372 | 2.0190 | 2.2444 | 67.167 |
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| 3.115 | 3.0 | 558 | 1.8364 | 4.5959 | 59.7357 |
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| 3.115 | 4.0 | 744 | 1.7372 | 5.1827 | 61.7218 |
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| 3.115 | 5.0 | 930 | 1.6732 | 5.8295 | 59.7346 |
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| 1.8706 | 6.0 | 1116 | 1.6301 | 6.4389 | 60.9085 |
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| 1.8706 | 7.0 | 1302 | 1.6002 | 6.6498 | 60.4191 |
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| 1.8706 | 8.0 | 1488 | 1.5792 | 6.8315 | 60.2721 |
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| 1.7133 | 9.0 | 1674 | 1.5680 | 7.1239 | 60.5609 |
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| 1.7133 | 10.0 | 1860 | 1.5644 | 7.1794 | 60.0222 |
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### Framework versions
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model.safetensors
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runs/Mar19_10-24-03_43de2ec8c46d/events.out.tfevents.1710843844.43de2ec8c46d.1689.1
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