metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t4_f1_prompt_adherence
results: []
flan-t5-small-asap_t4_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: 0.0578
- Rouge1: 84.443
- Rouge2: 80.3833
- Rougel: 84.4646
- Rougelsum: 84.4359
- Gen Len: 12.1859
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 | 266 | 0.0936 | 79.5741 | 73.0518 | 79.6566 | 79.6486 | 12.0859 |
| 0.4018 | 2.0 | 532 | 0.0670 | 83.6269 | 79.3655 | 83.6546 | 83.6338 | 12.1887 |
| 0.4018 | 3.0 | 798 | 0.0596 | 83.4438 | 79.1374 | 83.4652 | 83.5119 | 12.2239 |
| 0.0771 | 4.0 | 1064 | 0.0600 | 84.8381 | 80.8793 | 84.8927 | 84.9041 | 12.1549 |
| 0.0771 | 5.0 | 1330 | 0.0578 | 84.443 | 80.3833 | 84.4646 | 84.4359 | 12.1859 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2