metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-feedback
results: []
t5-base-finetuned-feedback
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2738
- Rouge1: 55.9578
- Rouge2: 31.3401
- Rougel: 52.9556
- Rougelsum: 53.1034
- Gen Len: 10.2562
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 61 | 1.4341 | 53.0065 | 28.3454 | 50.4489 | 50.5377 | 9.3388 |
| No log | 2.0 | 122 | 1.3604 | 53.2275 | 28.6424 | 50.6585 | 50.7617 | 9.8182 |
| No log | 3.0 | 183 | 1.3207 | 52.7581 | 28.6272 | 49.6977 | 49.7928 | 10.0661 |
| No log | 4.0 | 244 | 1.3098 | 53.5227 | 28.6578 | 50.2637 | 50.2897 | 9.9752 |
| No log | 5.0 | 305 | 1.2898 | 54.4587 | 29.8825 | 51.3522 | 51.4744 | 9.876 |
| No log | 6.0 | 366 | 1.2781 | 54.046 | 29.7089 | 51.3241 | 51.4283 | 10.1818 |
| No log | 7.0 | 427 | 1.2771 | 55.1788 | 30.8745 | 52.3598 | 52.4871 | 10.2149 |
| No log | 8.0 | 488 | 1.2762 | 55.6258 | 30.9444 | 52.5715 | 52.6889 | 10.2397 |
| 1.2952 | 9.0 | 549 | 1.2746 | 55.759 | 30.918 | 52.8427 | 52.8878 | 10.1818 |
| 1.2952 | 10.0 | 610 | 1.2738 | 55.9578 | 31.3401 | 52.9556 | 53.1034 | 10.2562 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1