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--- |
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language: |
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- en |
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- he |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: output_base |
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results: [] |
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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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should probably proofread and complete it, then remove this comment. --> |
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# output_base |
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This model is a fine-tuned version of [/home/ec2-user/SageMaker/marian_base](https://huggingface.co//home/ec2-user/SageMaker/marian_base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6852 |
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- Bleu: 30.5903 |
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- Gen Len: 64.8182 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 48 |
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- eval_batch_size: 16 |
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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: 10.0 |
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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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| 1.9938 | 1.0 | 188563 | 2.0008 | 27.6169 | 66.0246 | |
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| 1.8171 | 2.0 | 377126 | 1.8753 | 28.4709 | 65.8859 | |
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| 1.7389 | 3.0 | 565689 | 1.8120 | 28.9724 | 65.8601 | |
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| 1.6893 | 4.0 | 754252 | 1.7690 | 29.5248 | 65.8846 | |
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| 1.6559 | 5.0 | 942815 | 1.7467 | 29.5757 | 65.8046 | |
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| 1.6279 | 6.0 | 1131378 | 1.7236 | 29.7512 | 66.0482 | |
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| 1.6053 | 7.0 | 1319941 | 1.7137 | 29.916 | 66.0031 | |
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| 1.5871 | 8.0 | 1508504 | 1.7007 | 30.1671 | 65.8853 | |
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| 1.5694 | 9.0 | 1697067 | 1.6921 | 30.3613 | 65.9506 | |
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| 1.5539 | 10.0 | 1885630 | 1.6852 | 30.4049 | 66.0487 | |
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### Framework versions |
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- Transformers 4.12.0.dev0 |
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- Pytorch 1.9.1+cu102 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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