metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: food-intent
results: []
food-intent
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: 0.3056
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5231 | 0.42 | 20 | 0.4133 |
| 0.4702 | 0.83 | 40 | 0.4094 |
| 0.4898 | 1.25 | 60 | 0.4028 |
| 0.4596 | 1.67 | 80 | 0.3933 |
| 0.4597 | 2.08 | 100 | 0.3822 |
| 0.3879 | 2.5 | 120 | 0.3714 |
| 0.3861 | 2.92 | 140 | 0.3606 |
| 0.3689 | 3.33 | 160 | 0.3495 |
| 0.3574 | 3.75 | 180 | 0.3377 |
| 0.3272 | 4.17 | 200 | 0.3257 |
| 0.2981 | 4.58 | 220 | 0.3157 |
| 0.3075 | 5.0 | 240 | 0.3056 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0