t5-small-finetuned-coding_instructions_2023_08_18__08_41
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9209
- Rouge1: 13.9516
- Rouge2: 6.1527
- Rougel: 13.1037
- Rougelsum: 13.1244
- Gen Len: 18.3077
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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 5 | 2.6656 | 8.6104 | 3.1562 | 8.1185 | 8.1422 | 19.0 |
| No log | 2.0 | 10 | 2.5149 | 9.7852 | 3.836 | 9.3185 | 9.3322 | 19.0 |
| No log | 3.0 | 15 | 2.3683 | 13.1134 | 5.2015 | 12.1364 | 12.2677 | 19.0 |
| No log | 4.0 | 20 | 2.2032 | 13.4182 | 5.1369 | 12.5255 | 12.6118 | 19.0 |
| No log | 5.0 | 25 | 2.0986 | 13.6902 | 5.3556 | 12.7848 | 12.898 | 19.0 |
| No log | 6.0 | 30 | 2.0232 | 12.7675 | 4.8786 | 11.9464 | 11.9539 | 18.3846 |
| No log | 7.0 | 35 | 1.9857 | 13.9444 | 6.1527 | 13.0926 | 13.1171 | 18.5385 |
| No log | 8.0 | 40 | 1.9526 | 13.9516 | 6.1527 | 13.1037 | 13.1244 | 18.5385 |
| No log | 9.0 | 45 | 1.9303 | 13.9516 | 6.1527 | 13.1037 | 13.1244 | 18.3077 |
| No log | 10.0 | 50 | 1.9209 | 13.9516 | 6.1527 | 13.1037 | 13.1244 | 18.3077 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3