---
library_name: transformers
license: mit
base_model: kevinscaria/ate_tk-instruct-base-def-pos-neg-neut-combined
tags:
- generated_from_trainer
model-index:
- name: pyabsa-v3-onlyRest
  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. -->

# pyabsa-v3-onlyRest

This model is a fine-tuned version of [kevinscaria/ate_tk-instruct-base-def-pos-neg-neut-combined](https://huggingface.co/kevinscaria/ate_tk-instruct-base-def-pos-neg-neut-combined) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1771

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 701  | 0.2397          |
| No log        | 2.0   | 1402 | 0.2024          |
| No log        | 3.0   | 2103 | 0.1893          |
| No log        | 4.0   | 2804 | 0.1768          |
| No log        | 5.0   | 3505 | 0.1734          |
| No log        | 6.0   | 4206 | 0.1771          |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0