End of training
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README.md
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.
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| 0.
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| 0.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6394
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 32
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.7525 | 0.53 | 100 | 0.9179 |
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| 0.7831 | 1.06 | 200 | 0.6902 |
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| 0.6143 | 1.6 | 300 | 0.6662 |
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| 0.5988 | 2.13 | 400 | 0.6493 |
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| 0.5075 | 2.66 | 500 | 0.6415 |
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| 0.4766 | 3.19 | 600 | 0.6408 |
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| 0.4445 | 3.72 | 700 | 0.6394 |
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### Framework versions
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model.safetensors
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training_args.bin
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