---
library_name: transformers
license: apache-2.0
base_model: ivanenclonar/typhoon-t5-pretrained
tags:
- generated_from_trainer
model-index:
- name: typhoon-t5-finetuned2
  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. -->

# typhoon-t5-finetuned2

This model is a fine-tuned version of [ivanenclonar/typhoon-t5-pretrained](https://huggingface.co/ivanenclonar/typhoon-t5-pretrained) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4566

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 25   | 1.0733          |
| No log        | 2.0   | 50   | 0.6809          |
| No log        | 3.0   | 75   | 0.5968          |
| No log        | 4.0   | 100  | 0.5535          |
| No log        | 5.0   | 125  | 0.5249          |
| No log        | 6.0   | 150  | 0.5048          |
| No log        | 7.0   | 175  | 0.4909          |
| No log        | 8.0   | 200  | 0.4807          |
| No log        | 9.0   | 225  | 0.4731          |
| No log        | 10.0  | 250  | 0.4673          |
| No log        | 11.0  | 275  | 0.4631          |
| No log        | 12.0  | 300  | 0.4602          |
| No log        | 13.0  | 325  | 0.4581          |
| No log        | 14.0  | 350  | 0.4570          |
| No log        | 15.0  | 375  | 0.4566          |


### Framework versions

- Transformers 4.56.0
- Pytorch 2.8.0+cu129
- Datasets 4.4.2
- Tokenizers 0.22.0