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fine_tuned_t5_base
niteshsah-760/fine_tuned_t5_base
fine_tuned_t5_base is a machine learning model from niteshsah-760. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025
- SHA
- 7906c80f
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. -->
fine_tuned_t5_base
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1793
- Rouge1: 0.3994
- Rouge2: 0.3392
- Rougel: 0.3904
- Rougelsum: 0.3909
- Gen Len: 19.949
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6612 | 1.0 | 2585 | 1.4454 | 0.3942 | 0.3255 | 0.3818 | 0.3822 | 19.9072 |
| 1.4833 | 2.0 | 5170 | 1.3191 | 0.3967 | 0.331 | 0.3856 | 0.3859 | 19.9176 |
| 1.3801 | 3.0 | 7755 | 1.2587 | 0.3952 | 0.3331 | 0.3849 | 0.385 | 19.9316 |
| 1.2776 | 4.0 | 10340 | 1.2210 | 0.4011 | 0.3386 | 0.3909 | 0.3914 | 19.9327 |
| 1.2842 | 5.0 | 12925 | 1.2061 | 0.3991 | 0.3378 | 0.3896 | 0.3901 | 19.9408 |
| 1.2324 | 6.0 | 15510 | 1.1882 | 0.3986 | 0.3387 | 0.3894 | 0.3898 | 19.9397 |
| 1.2122 | 7.0 | 18095 | 1.1815 | 0.4002 | 0.3399 | 0.391 | 0.3915 | 19.949 |
| 1.177 | 8.0 | 20680 | 1.1793 | 0.3994 | 0.3392 | 0.3904 | 0.3909 | 19.949 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025