|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- tamilmixsentiment |
|
metrics: |
|
- accuracy |
|
model_index: |
|
- name: emoBERTTamil |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: tamilmixsentiment |
|
type: tamilmixsentiment |
|
args: default |
|
metric: |
|
name: Accuracy |
|
type: accuracy |
|
value: 0.671 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# emoBERTTamil |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the tamilmixsentiment dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.9666 |
|
- Accuracy: 0.671 |
|
|
|
## 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: 3.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.1128 | 1.0 | 250 | 1.0290 | 0.672 | |
|
| 1.0226 | 2.0 | 500 | 1.0172 | 0.686 | |
|
| 0.9137 | 3.0 | 750 | 0.9666 | 0.671 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.9.2 |
|
- Pytorch 1.9.0+cu102 |
|
- Datasets 1.11.0 |
|
- Tokenizers 0.10.3 |
|
|
