
## Training Parameters
```
learning rate: 2e-5
epochs: 40
weight decay: 0.01
batch size: 16
```
## Metrics
```
acuraccy: 0.93
macro-F1 (macro avg): 0.88
best epoch: 15
```
## Dataset:
[Twitter-Sentiment-Analysis](https://huggingface.co/nlp/viewer/?dataset=emotion).
 
{"language": "en", "license": "apache-2.0", "tags": ["text-classification", "pytorch", "emotion"], "metrics": ["accuracy, F1 score"], "dataset": ["emotion"]}
transformers pytorch distilbert text-classification emotion en license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #distilbert #text-classification #emotion #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 


## Training Parameters

## Metrics

## Dataset:
Twitter-Sentiment-Analysis.
 
## Training Parameters ## Metrics ## Dataset:
Twitter-Sentiment-Analysis.
TAGS
#transformers #pytorch #distilbert #text-classification #emotion #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Training Parameters ## Metrics ## Dataset:
Twitter-Sentiment-Analysis.
passage: TAGS
#transformers #pytorch #distilbert #text-classification #emotion #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Training Parameters## Metrics## Dataset:
Twitter-Sentiment-Analysis.