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bangla_idiom_translation_v1
syeda-raisa/bangla_idiom_translation_v1
bangla_idiom_translation_v1 is a machine learning model from syeda-raisa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024
- SHA
- c4222c86
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bangla_idiom_translation_v1
This model is a fine-tuned version of csebuetnlp/banglat5_nmt_bn_en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3032
- Rouge1: 85.3143
- Rouge2: 73.3973
- Rougel: 82.4163
- Rougelsum: 82.4211
- Gen Len: 21.2116
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.5372 | 1.0 | 3066 | 0.3419 | 85.3363 | 73.5641 | 82.4285 | 82.4387 | 21.2325 |
| 0.4708 | 2.0 | 6132 | 0.3181 | 85.2649 | 73.4772 | 82.47 | 82.484 | 21.1232 |
| 0.437 | 3.0 | 9198 | 0.3076 | 85.3474 | 73.5827 | 82.5201 | 82.5292 | 21.1559 |
| 0.416 | 4.0 | 12264 | 0.3040 | 85.372 | 73.4868 | 82.4993 | 82.4963 | 21.1842 |
| 0.4079 | 5.0 | 15330 | 0.3032 | 85.3143 | 73.3973 | 82.4163 | 82.4211 | 21.2116 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- Feb 27, 2024
- Updated
- Feb 27, 2024