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# food-intent-pegasus-base

This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3188

## 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: 4
- eval_batch_size: 4
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2463        | 0.14  | 20   | 0.3228          |
| 0.2748        | 0.28  | 40   | 0.3226          |
| 0.2167        | 0.42  | 60   | 0.3221          |
| 0.3046        | 0.56  | 80   | 0.3212          |
| 0.3236        | 0.69  | 100  | 0.3205          |
| 0.2835        | 0.83  | 120  | 0.3192          |
| 0.3414        | 0.97  | 140  | 0.3188          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "google/pegasus-xsum", "model-index": [{"name": "food-intent-pegasus-base", "results": []}]}
transformers tensorboard safetensors pegasus text2text-generation generated_from_trainer base_model:google/pegasus-xsum autotrain_compatible endpoints_compatible region:us