|
--- |
|
license: mit |
|
base_model: mrm8488/deberta-v3-small-finetuned-sst2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- matthews_correlation |
|
model-index: |
|
- name: deberta-v3-small-finetuned-sst2-finetuned-cola |
|
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. --> |
|
|
|
# deberta-v3-small-finetuned-sst2-finetuned-cola |
|
|
|
This model is a fine-tuned version of [mrm8488/deberta-v3-small-finetuned-sst2](https://huggingface.co/mrm8488/deberta-v3-small-finetuned-sst2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6941 |
|
- Matthews Correlation: 0.1319 |
|
|
|
## 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: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------------:| |
|
| 0.6105 | 1.0 | 535 | 0.6169 | 0.0 | |
|
| 0.6054 | 2.0 | 1070 | 0.6131 | 0.0315 | |
|
| 0.5652 | 3.0 | 1605 | 0.6219 | 0.0802 | |
|
| 0.5163 | 4.0 | 2140 | 0.6941 | 0.1319 | |
|
| 0.4718 | 5.0 | 2675 | 0.7269 | 0.1110 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
