tags: | |
- generated_from_trainer | |
datasets: | |
- go_emotions | |
metrics: | |
- accuracy | |
- f1 | |
model-index: | |
- name: goemotions_bertspanish_finetunig_e | |
results: | |
- task: | |
name: Text Classification | |
type: text-classification | |
dataset: | |
name: go_emotions | |
type: go_emotions | |
config: simplified | |
split: test | |
args: simplified | |
metrics: | |
- name: Accuracy | |
type: accuracy | |
value: 0.4 | |
- name: F1 | |
type: f1 | |
value: 0.2777912523419085 | |
<!-- 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. --> | |
# goemotions_bertspanish_finetunig_e | |
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the go_emotions dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 3.3859 | |
- Accuracy: 0.4 | |
- F1: 0.2778 | |
## 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-06 | |
- 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: 16 | |
### Training results | |
### Framework versions | |
- Transformers 4.28.1 | |
- Pytorch 2.0.0+cu118 | |
- Datasets 2.12.0 | |
- Tokenizers 0.13.3 | |