|
--- |
|
base_model: UBC-NLP/MARBERTv2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
- accuracy |
|
model-index: |
|
- name: OTE-NoDapt-ABSA-bert-base-MARBERTv2-DefultHp-FineTune |
|
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. --> |
|
|
|
# OTE-NoDapt-ABSA-bert-base-MARBERTv2-DefultHp-FineTune |
|
|
|
This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6006 |
|
- Precision: 0.0 |
|
- Recall: 0.0 |
|
- F1: 0.0 |
|
- Accuracy: 0.8892 |
|
|
|
## 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: 8 |
|
- seed: 25 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:| |
|
| 0.758 | 1.0 | 121 | 0.6913 | 0.0 | 0.0 | 0.0 | 0.8892 | |
|
| 0.6556 | 2.0 | 242 | 0.6214 | 0.0 | 0.0 | 0.0 | 0.8892 | |
|
| 0.6125 | 3.0 | 363 | 0.6006 | 0.0 | 0.0 | 0.0 | 0.8892 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.3 |
|
- Tokenizers 0.13.3 |
|
|
