transformers safetensors t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: T5-small-synthetic-FLUTE
  results: []
---

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# T5-small-synthetic-FLUTE

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0517

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6954        | 1.0   | 2316  | 1.2714          |
| 1.039         | 2.0   | 4632  | 1.1697          |
| 1.4594        | 3.0   | 6948  | 1.1241          |
| 0.9971        | 4.0   | 9264  | 1.0919          |
| 1.3562        | 5.0   | 11580 | 1.0757          |
| 0.6796        | 6.0   | 13896 | 1.0653          |
| 1.0082        | 7.0   | 16212 | 1.0549          |
| 0.8228        | 8.0   | 18528 | 1.0517          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
