metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results_2
results: []
results_2
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8220
- Rouge1: 0.3088
- Rouge2: 0.2493
- Rougel: 0.2955
- Rougelsum: 0.3043
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: 0.001
- train_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 223 | 0.9906 | 0.2907 | 0.2130 | 0.2741 | 0.2837 |
| No log | 2.0 | 446 | 0.8959 | 0.3038 | 0.2387 | 0.2894 | 0.2988 |
| 1.163 | 3.0 | 669 | 0.8509 | 0.3059 | 0.2432 | 0.2924 | 0.3013 |
| 1.163 | 4.0 | 892 | 0.8264 | 0.3095 | 0.2497 | 0.2964 | 0.3051 |
| 0.8071 | 5.0 | 1115 | 0.8220 | 0.3088 | 0.2493 | 0.2955 | 0.3043 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2