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--- |
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base_model: csebuetnlp/banglat5_nmt_bn_en |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: bangla_idiom_translation_v1 |
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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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# bangla_idiom_translation_v1 |
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This model is a fine-tuned version of [csebuetnlp/banglat5_nmt_bn_en](https://huggingface.co/csebuetnlp/banglat5_nmt_bn_en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3032 |
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- Rouge1: 85.3143 |
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- Rouge2: 73.3973 |
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- Rougel: 82.4163 |
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- Rougelsum: 82.4211 |
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- Gen Len: 21.2116 |
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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: 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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- lr_scheduler_warmup_steps: 5000 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.5372 | 1.0 | 3066 | 0.3419 | 85.3363 | 73.5641 | 82.4285 | 82.4387 | 21.2325 | |
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| 0.4708 | 2.0 | 6132 | 0.3181 | 85.2649 | 73.4772 | 82.47 | 82.484 | 21.1232 | |
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| 0.437 | 3.0 | 9198 | 0.3076 | 85.3474 | 73.5827 | 82.5201 | 82.5292 | 21.1559 | |
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| 0.416 | 4.0 | 12264 | 0.3040 | 85.372 | 73.4868 | 82.4993 | 82.4963 | 21.1842 | |
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| 0.4079 | 5.0 | 15330 | 0.3032 | 85.3143 | 73.3973 | 82.4163 | 82.4211 | 21.2116 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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