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t5-small-finetuned-question-answer-template
juhehli/t5-small-finetuned-question-answer-template
t5-small-finetuned-question-answer-template is a machine learning model from juhehli. 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
- Oct 21, 2024
- Updated
- Oct 21, 2024
- SHA
- e8a2ec51
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-question-answer-template
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2608
- Rouge1: 84.7051
- Rouge2: 67.1537
- Rougel: 80.4837
- Rougelsum: 80.763
- Gen Len: 13.5
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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 15 | 2.0280 | 60.1069 | 36.344 | 49.1148 | 49.3518 | 11.8077 |
| No log | 2.0 | 30 | 1.5653 | 66.3894 | 39.7781 | 53.9648 | 54.1828 | 11.0769 |
| No log | 3.0 | 45 | 1.2481 | 55.2986 | 33.5161 | 45.3224 | 45.3243 | 12.2308 |
| No log | 4.0 | 60 | 0.9674 | 48.2375 | 31.5412 | 43.2247 | 43.6014 | 13.0 |
| No log | 5.0 | 75 | 0.7555 | 48.2945 | 33.4249 | 44.2227 | 44.3073 | 14.2308 |
| No log | 6.0 | 90 | 0.6018 | 61.6858 | 43.9501 | 57.9666 | 58.4171 | 11.5 |
| No log | 7.0 | 105 | 0.4910 | 69.2262 | 51.5066 | 66.0391 | 66.5198 | 11.4231 |
| No log | 8.0 | 120 | 0.4109 | 78.2833 | 59.9289 | 73.4671 | 73.7781 | 12.5769 |
| No log | 9.0 | 135 | 0.3641 | 83.3592 | 64.287 | 78.1249 | 78.6497 | 13.3846 |
| No log | 10.0 | 150 | 0.3312 | 84.3652 | 66.4705 | 79.9104 | 80.3878 | 13.4615 |
| No log | 11.0 | 165 | 0.3115 | 84.3652 | 66.4705 | 79.9104 | 80.3878 | 13.4615 |
| No log | 12.0 | 180 | 0.2949 | 84.3652 | 66.4705 | 79.9104 | 80.3878 | 13.4615 |
| No log | 13.0 | 195 | 0.2823 | 84.2552 | 66.4705 | 79.8583 | 80.2947 | 13.5 |
| No log | 14.0 | 210 | 0.2745 | 84.2552 | 66.4705 | 79.8583 | 80.2947 | 13.4615 |
| No log | 15.0 | 225 | 0.2689 | 84.7051 | 67.1537 | 80.4837 | 80.763 | 13.5 |
| No log | 16.0 | 240 | 0.2649 | 84.7051 | 67.1537 | 80.4837 | 80.763 | 13.5 |
| No log | 17.0 | 255 | 0.2630 | 84.7051 | 67.1537 | 80.4837 | 80.763 | 13.5 |
| No log | 18.0 | 270 | 0.2617 | 84.7051 | 67.1537 | 80.4837 | 80.763 | 13.5 |
| No log | 19.0 | 285 | 0.2611 | 84.7051 | 67.1537 | 80.4837 | 80.763 | 13.5 |
| No log | 20.0 | 300 | 0.2608 | 84.7051 | 67.1537 | 80.4837 | 80.763 | 13.5 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cpu
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024