---
library_name: transformers
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: QAC2
  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. -->

# QAC2

This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0038

## 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.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.8459        | 0.0925 | 200  | 6.6796          |
| 3.8225        | 0.1850 | 400  | 1.2128          |
| 0.2798        | 0.2775 | 600  | 1.0572          |
| 0.1992        | 0.3700 | 800  | 0.9118          |
| 0.2552        | 0.4625 | 1000 | 1.1289          |
| 0.2335        | 0.5550 | 1200 | 1.0364          |
| 0.1552        | 0.6475 | 1400 | 1.0652          |
| 0.1298        | 0.7401 | 1600 | 0.9827          |
| 0.1419        | 0.8326 | 1800 | 1.0390          |
| 0.1439        | 0.9251 | 2000 | 1.0038          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1