|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
- precision |
|
- recall |
|
base_model: microsoft/deberta-v3-base |
|
model-index: |
|
- name: deberta-v3-base-isarcasm |
|
results: |
|
- task: |
|
type: text-classification |
|
dataset: |
|
name: iSarcasm |
|
type: isarcasm |
|
split: test |
|
metrics: |
|
- type: f1 |
|
value: 0.47887323943661975 |
|
name: f1 |
|
- type: accuracy |
|
value: 0.8331454340473506 |
|
name: accuracy |
|
- type: recall |
|
value: 0.43312101910828027 |
|
name: recall |
|
- type: precision |
|
value: 0.5354330708661418 |
|
name: precision |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# deberta-v3-base-isarcasm |
|
|
|
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3693 |
|
- Accuracy: 0.8331 |
|
- F1: 0.4789 |
|
- Precision: 0.5354 |
|
- Recall: 0.4331 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
|
| No log | 1.0 | 215 | 0.7833 | 0.8 | 0.0 | 0.0 | 0.0 | |
|
| No log | 2.0 | 430 | 1.1913 | 0.8 | 0.0 | 0.0 | 0.0 | |
|
| 0.577 | 3.0 | 645 | 1.5866 | 0.7714 | 0.2 | 0.25 | 0.1667 | |
|
| 0.577 | 4.0 | 860 | 2.3199 | 0.8 | 0.2222 | 0.3333 | 0.1667 | |
|
| 0.2047 | 5.0 | 1075 | 2.4911 | 0.8 | 0.2222 | 0.3333 | 0.1667 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.0 |
|
- Pytorch 2.1.1+cu121 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
