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# flan-t5-xl_full_finetune

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0307
- Accuracy: 0.6699

## 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: 0.0003
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 439  | 0.5135          | 0.6768   |
| 0.3437        | 2.0   | 878  | 0.6662          | 0.6347   |
| 0.089         | 3.0   | 1317 | 1.0307          | 0.6699   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

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