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---
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
---
<!-- 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. -->
# sentiment_analysis-DistilBERT-emo
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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
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