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t5-pst
zaidbhatti/t5-pst
t5-pst is a machine learning model from zaidbhatti. 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
- Nov 23, 2023
- Updated
- Nov 23, 2023
- SHA
- 40450bbd
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. -->
t5-pst
This model is a fine-tuned version of allenai/t5-small-squad2-question-generation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0019
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 21 | 13.2716 |
| No log | 2.0 | 42 | 9.8582 |
| No log | 3.0 | 63 | 7.0297 |
| No log | 4.0 | 84 | 4.7671 |
| No log | 5.0 | 105 | 3.0563 |
| No log | 6.0 | 126 | 1.9804 |
| No log | 7.0 | 147 | 1.4131 |
| No log | 8.0 | 168 | 1.1453 |
| No log | 9.0 | 189 | 1.0326 |
| No log | 10.0 | 210 | 1.0019 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023