| --- |
| license: apache-2.0 |
| base_model: google/flan-t5-small |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: food-intent |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # food-intent |
|
|
| This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/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 |
| |
