---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample
model-index:
- name: ABSA-SentencePair-DAPT-HARDSubsample60089-bert-base-Camel-MSA-ru2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ABSA-SentencePair-DAPT-HARDSubsample60089-bert-base-Camel-MSA-ru2

This model is a fine-tuned version of [salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample](https://huggingface.co./salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4543
- Accuracy: 0.8852
- F1: 0.8852
- Precision: 0.8852
- Recall: 0.8852

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.4264        | 1.0   | 265  | 0.3527          | 0.8611   | 0.8611 | 0.8611    | 0.8611 |
| 0.304         | 2.0   | 530  | 0.3400          | 0.8828   | 0.8828 | 0.8828    | 0.8828 |
| 0.2282        | 3.0   | 795  | 0.3840          | 0.8790   | 0.8790 | 0.8790    | 0.8790 |
| 0.1614        | 4.0   | 1060 | 0.4024          | 0.8856   | 0.8856 | 0.8856    | 0.8856 |
| 0.1075        | 5.0   | 1325 | 0.4543          | 0.8852   | 0.8852 | 0.8852    | 0.8852 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2