---
library_name: transformers
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: QGC2
  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. -->

# QGC2

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: 2.5302

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.9372        | 0.0925 | 200  | 3.9831          |
| 6.6356        | 0.1850 | 400  | 5.5394          |
| 4.9934        | 0.2775 | 600  | 3.9748          |
| 1.2719        | 0.3700 | 800  | 2.3928          |
| 0.4698        | 0.4625 | 1000 | 2.5047          |
| 0.3714        | 0.5550 | 1200 | 2.5249          |
| 0.4314        | 0.6475 | 1400 | 2.4641          |
| 0.3454        | 0.7401 | 1600 | 2.4906          |
| 0.3313        | 0.8326 | 1800 | 2.5153          |
| 0.2904        | 0.9251 | 2000 | 2.5302          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1