---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- absa
- aspect-based-sentiment-analysis
- t5
- atsc_rest
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: t5-absa-plusplus-atsc
  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. -->

# t5-absa-plusplus-atsc

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4055
- F1: 58.38
- Precision: 57.62
- Recall: 59.15
- N Tp: 223
- N Pred: 387
- N Gold: 377

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 26
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1    | Precision | Recall | N Tp | N Pred | N Gold |
|:-------------:|:------:|:----:|:---------------:|:-----:|:---------:|:------:|:----:|:------:|:------:|
| 0.6296        | 4.3860 | 500  | 0.3825          | 53.96 | 54.62     | 53.32  | 201  | 368    | 377    |
| 0.3482        | 8.7719 | 1000 | 0.4051          | 58.27 | 57.66     | 58.89  | 222  | 385    | 377    |
| 0.3542        | 10.0   | 1140 | 0.4055          | 58.38 | 57.62     | 59.15  | 223  | 387    | 377    |


### Framework versions

- Transformers 5.6.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2