metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: flan-t5-base-text_answering_T5
results: []
flan-t5-base-text_answering_T5
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3074
- Accuracy: 0.7464
- Precision: 0.7462
- Recall: 0.7464
- F1: 0.7462
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-06
- 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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3367 | 1.0 | 276 | 0.3063 | 0.6775 | 0.6812 | 0.6775 | 0.6732 |
| 0.3135 | 2.0 | 552 | 0.2994 | 0.6902 | 0.6952 | 0.6902 | 0.6856 |
| 0.2987 | 3.0 | 828 | 0.2941 | 0.7228 | 0.7227 | 0.7228 | 0.7224 |
| 0.2829 | 4.0 | 1104 | 0.2971 | 0.7391 | 0.739 | 0.7391 | 0.739 |
| 0.2853 | 5.0 | 1380 | 0.2997 | 0.7391 | 0.7391 | 0.7391 | 0.7391 |
| 0.2781 | 6.0 | 1656 | 0.3120 | 0.7373 | 0.7372 | 0.7373 | 0.737 |
| 0.2751 | 7.0 | 1932 | 0.3100 | 0.7464 | 0.7463 | 0.7464 | 0.7463 |
| 0.2735 | 8.0 | 2208 | 0.3073 | 0.7464 | 0.7463 | 0.7464 | 0.7463 |
| 0.2763 | 9.0 | 2484 | 0.3055 | 0.7446 | 0.7444 | 0.7446 | 0.7444 |
| 0.269 | 10.0 | 2760 | 0.3069 | 0.7446 | 0.7444 | 0.7446 | 0.7443 |
| 0.2674 | 11.0 | 3036 | 0.3077 | 0.7446 | 0.7444 | 0.7446 | 0.7443 |
| 0.2608 | 12.0 | 3312 | 0.3074 | 0.7464 | 0.7462 | 0.7464 | 0.7462 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1