|
--- |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- emotion |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bnb-sentiment-model-saagie |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: emotion |
|
type: emotion |
|
args: split |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9444444444444444 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# bnb-sentiment-model-saagie |
|
|
|
This model is a fine-tuned version of [j-hartmann/emotion-english-distilroberta-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base) on the emotion dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3581 |
|
- Accuracy: 0.9444 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 8 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.3724 | 1.0 | 1875 | 0.1799 | 0.9367 | |
|
| 0.2118 | 2.0 | 3750 | 0.1918 | 0.9456 | |
|
| 0.1792 | 3.0 | 5625 | 0.1791 | 0.95 | |
|
| 0.1489 | 4.0 | 7500 | 0.1479 | 0.9489 | |
|
| 0.1168 | 5.0 | 9375 | 0.2561 | 0.9444 | |
|
| 0.081 | 6.0 | 11250 | 0.2863 | 0.9411 | |
|
| 0.0521 | 7.0 | 13125 | 0.3168 | 0.9467 | |
|
| 0.0345 | 8.0 | 15000 | 0.3581 | 0.9444 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.18.0 |
|
- Pytorch 1.8.1 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.12.1 |
|
|
