---
library_name: transformers
base_model: zera09/custom-longt5-with-ts
tags:
- generated_from_trainer
model-index:
- name: segment_mask_token_v2
  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. -->

# segment_mask_token_v2

This model is a fine-tuned version of [zera09/custom-longt5-with-ts](https://huggingface.co./zera09/custom-longt5-with-ts) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0718

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 72   | 5.8637          |
| 21.3135       | 2.0   | 144  | 1.6856          |
| 1.3759        | 3.0   | 216  | 1.0404          |
| 1.3759        | 4.0   | 288  | 0.6246          |
| 0.6906        | 5.0   | 360  | 0.3509          |
| 0.3575        | 6.0   | 432  | 0.2973          |
| 0.3583        | 7.0   | 504  | 0.1697          |
| 0.3583        | 8.0   | 576  | 0.1578          |
| 0.2914        | 9.0   | 648  | 0.1353          |
| 0.1716        | 10.0  | 720  | 0.1145          |
| 0.1716        | 11.0  | 792  | 0.0990          |
| 0.2055        | 12.0  | 864  | 0.0975          |
| 0.1352        | 13.0  | 936  | 0.0818          |
| 0.116         | 14.0  | 1008 | 0.0789          |
| 0.116         | 15.0  | 1080 | 0.0812          |
| 0.1264        | 16.0  | 1152 | 0.0800          |
| 0.1599        | 17.0  | 1224 | 0.0762          |
| 0.1599        | 18.0  | 1296 | 0.0720          |
| 0.0694        | 19.0  | 1368 | 0.0726          |
| 0.0742        | 20.0  | 1440 | 0.0718          |


### Framework versions

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