---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: t5-large-fft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-large-fft

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0427

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0725        | 0.2   | 500  | 0.1335          |
| 0.0884        | 0.4   | 1000 | 0.0830          |
| 0.0535        | 0.6   | 1500 | 0.0643          |
| 0.0713        | 0.8   | 2000 | 0.0449          |
| 0.0486        | 1.0   | 2500 | 0.0437          |
| 0.041         | 1.2   | 3000 | 0.0433          |
| 0.0478        | 1.4   | 3500 | 0.0430          |
| 0.0472        | 1.6   | 4000 | 0.0428          |
| 0.0461        | 1.8   | 4500 | 0.0427          |
| 0.0667        | 2.0   | 5000 | 0.0427          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0