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# 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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-small", "model-index": [{"name": "food-intent", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us