metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emo
metrics:
- accuracy
model-index:
- name: sentiment_analysis-DistilBERT-emo
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emo
type: emo
config: emo2019
split: test
args: emo2019
metrics:
- name: Accuracy
type: accuracy
value: 0.882
finetuning-sentiment-model-emo-4
This model is a fine-tuned version of distilbert-base-uncased on the emo dataset. It achieves the following results on the evaluation set:
- Loss: 0.3929
- Accuracy: 0.882
- F1 Score: 0.8928
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: 2
Training results
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3