metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t3_f1_prompt_adherence
results: []
flan-t5-small-asap_t3_f1_prompt_adherence
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0589
- Rouge1: 83.8592
- Rouge2: 79.6964
- Rougel: 83.8653
- Rougelsum: 83.8907
- Gen Len: 12.0564
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 259 | 0.0870 | 79.2884 | 73.7674 | 79.2737 | 79.2658 | 12.0029 |
| 0.4029 | 2.0 | 518 | 0.0723 | 82.4137 | 77.8327 | 82.4253 | 82.4151 | 12.0202 |
| 0.4029 | 3.0 | 777 | 0.0579 | 83.4685 | 79.1137 | 83.4737 | 83.4759 | 12.0723 |
| 0.0721 | 4.0 | 1036 | 0.0561 | 83.5346 | 79.1485 | 83.5099 | 83.5342 | 12.0650 |
| 0.0721 | 5.0 | 1295 | 0.0589 | 83.8592 | 79.6964 | 83.8653 | 83.8907 | 12.0564 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2