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banglat5-finetuned-headlineBT5
mdosama39/banglat5-finetuned-headlineBT5
banglat5-finetuned-headlineBT5 is a machine learning model from mdosama39. 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
- May 7, 2024
- Updated
- May 7, 2024
- SHA
- cac4453e
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. -->
banglat5-finetuned-headlineBT5
This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1422
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 19.0
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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 10.7484 | 1.0 | 80 | 6.5696 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| 7.862 | 2.0 | 160 | 5.9513 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| 7.4009 | 3.0 | 240 | 5.4931 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| 7.4468 | 4.0 | 320 | 5.2047 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| 6.6257 | 5.0 | 400 | 5.1422 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- May 7, 2024
- Updated
- May 7, 2024