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t5-small-finetuned-feedback
phdreg/t5-small-finetuned-feedback
t5-small-finetuned-feedback is a machine learning model from phdreg. 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
- May 1, 2024
- Updated
- May 1, 2024
- SHA
- 865366f0
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-small-finetuned-feedback
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6145
- Rouge1: 51.2809
- Rouge2: 27.3229
- Rougel: 49.2287
- Rougelsum: 49.211
- Gen Len: 10.1736
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: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 61 | 2.9832 | 24.9931 | 10.0881 | 21.9651 | 22.0687 | 16.4876 |
| No log | 2.0 | 122 | 2.1822 | 36.3348 | 17.5969 | 34.3034 | 34.2834 | 12.1653 |
| No log | 3.0 | 183 | 1.9607 | 43.7295 | 21.5907 | 41.8815 | 41.929 | 10.5372 |
| No log | 4.0 | 244 | 1.8412 | 48.7074 | 25.1744 | 46.8382 | 46.8399 | 10.405 |
| No log | 5.0 | 305 | 1.7674 | 50.1972 | 26.4116 | 48.1456 | 48.0538 | 10.2066 |
| No log | 6.0 | 366 | 1.7195 | 51.0984 | 27.8685 | 48.9483 | 49.0108 | 10.3554 |
| No log | 7.0 | 427 | 1.6832 | 50.272 | 27.3168 | 48.4083 | 48.4307 | 10.0331 |
| No log | 8.0 | 488 | 1.6558 | 50.6829 | 27.5132 | 48.6684 | 48.735 | 10.2727 |
| 2.363 | 9.0 | 549 | 1.6357 | 50.0286 | 27.0674 | 48.0211 | 48.0783 | 10.1736 |
| 2.363 | 10.0 | 610 | 1.6240 | 50.8207 | 26.8345 | 48.6528 | 48.6903 | 10.1983 |
| 2.363 | 11.0 | 671 | 1.6166 | 50.9796 | 27.0236 | 48.8888 | 48.8958 | 10.1901 |
| 2.363 | 12.0 | 732 | 1.6145 | 51.2809 | 27.3229 | 49.2287 | 49.211 | 10.1736 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- May 1, 2024
- Updated
- May 1, 2024