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# T5results

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the mslr2022 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2187

## 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: 8
- eval_batch_size: 8
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0546        | 1.0   | 469  | 1.2336          |
| 1.0636        | 2.0   | 938  | 1.2225          |
| 1.1954        | 3.0   | 1407 | 1.2187          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mslr2022"], "base_model": "t5-small", "model-index": [{"name": "T5results", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:mslr2022 base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us