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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-hi |
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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: Transformer_MT |
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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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# Transformer_MT |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2471 |
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- Bleu: 0.4736 |
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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: 1e-05 |
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- train_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 2 |
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- training_steps: 2000 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 2.53 | 200 | 2.4508 | 0.1996 | |
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| No log | 5.06 | 400 | 2.3803 | 0.3002 | |
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| 2.49 | 7.59 | 600 | 2.3398 | 0.4351 | |
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| 2.49 | 10.13 | 800 | 2.3148 | 0.3753 | |
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| 2.3247 | 12.66 | 1000 | 2.2919 | 0.4252 | |
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| 2.3247 | 15.19 | 1200 | 2.2747 | 0.4268 | |
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| 2.3247 | 17.72 | 1400 | 2.2633 | 0.4506 | |
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| 2.2349 | 20.25 | 1600 | 2.2563 | 0.4861 | |
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| 2.2349 | 22.78 | 1800 | 2.2486 | 0.4783 | |
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| 2.1924 | 25.32 | 2000 | 2.2471 | 0.4736 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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