|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
- precision |
|
- recall |
|
base_model: salohnana2018/HARD_without_dp_4248_camel_prepocessed_ASC |
|
model-index: |
|
- name: ABSA-SentencePair-DAPT-HARD-4248-bert-base-Camel-MSA-ru2 |
|
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. --> |
|
|
|
# ABSA-SentencePair-DAPT-HARD-4248-bert-base-Camel-MSA-ru2 |
|
|
|
This model is a fine-tuned version of [salohnana2018/HARD_without_dp_4248_camel_prepocessed_ASC](https://huggingface.co/salohnana2018/HARD_without_dp_4248_camel_prepocessed_ASC) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4529 |
|
- Accuracy: 0.8956 |
|
- F1: 0.8956 |
|
- Precision: 0.8956 |
|
- Recall: 0.8956 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
|
| 0.4175 | 1.0 | 265 | 0.3482 | 0.8696 | 0.8696 | 0.8696 | 0.8696 | |
|
| 0.2889 | 2.0 | 530 | 0.3280 | 0.8819 | 0.8819 | 0.8819 | 0.8819 | |
|
| 0.1995 | 3.0 | 795 | 0.3343 | 0.8908 | 0.8908 | 0.8908 | 0.8908 | |
|
| 0.1319 | 4.0 | 1060 | 0.3856 | 0.8932 | 0.8932 | 0.8932 | 0.8932 | |
|
| 0.0855 | 5.0 | 1325 | 0.4529 | 0.8956 | 0.8956 | 0.8956 | 0.8956 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|