metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-asap_t5_f1_prompt_adherence
results: []
flan-t5-small-asap_t5_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: 0.0647
- Rouge1: 79.2006
- Rouge2: 73.7804
- Rougel: 79.2274
- Rougelsum: 79.2405
- Gen Len: 12.0471
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 | 271 | 0.0993 | 76.0054 | 69.0068 | 76.0105 | 75.9722 | 12.0014 |
| 0.4749 | 2.0 | 542 | 0.0693 | 78.2033 | 72.3784 | 78.2208 | 78.1724 | 12.0540 |
| 0.4749 | 3.0 | 813 | 0.0660 | 79.4313 | 73.9365 | 79.4865 | 79.4338 | 12.0429 |
| 0.0883 | 4.0 | 1084 | 0.0644 | 79.2898 | 73.9021 | 79.3393 | 79.3354 | 12.0568 |
| 0.0883 | 5.0 | 1355 | 0.0647 | 79.2006 | 73.7804 | 79.2274 | 79.2405 | 12.0471 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2