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banglat5-finetuned-headlineBT5_1000_batch8_Normal
mdosama39/banglat5-finetuned-headlineBT5_1000_batch8_Normal
banglat5-finetuned-headlineBT5_1000_batch8_Normal 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 11, 2024
- Updated
- May 11, 2024
- SHA
- a2ce1c5e
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_1000_batch8_Normal
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.4915
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 10.0143 | 1.0 | 80 | 7.0700 |
| 8.4452 | 2.0 | 160 | 6.4165 |
| 7.8612 | 3.0 | 240 | 5.8853 |
| 7.0755 | 4.0 | 320 | 5.5834 |
| 7.1406 | 5.0 | 400 | 5.4915 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- May 11, 2024
- Updated
- May 11, 2024