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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: bertweet-emotion-base
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- type: accuracy
value: 0.945
name: Accuracy
- task:
type: text-classification
name: Text Classification
dataset:
name: emotion
type: emotion
config: default
split: test
metrics:
- type: accuracy
value: 0.9285
name: Accuracy
verified: true
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- type: precision
value: 0.8884219402987917
name: Precision Macro
verified: true
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- type: precision
value: 0.9285
name: Precision Micro
verified: true
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- type: precision
value: 0.9294663182278102
name: Precision Weighted
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDAzMjE3M2FmMjEwMzE2ZDA4NGI3ZDI1ZDlkMjhlZmEzNTlmZWM4NjRlMDNjODIzMTE1N2JiMTE5OTA2N2EzYSIsInZlcnNpb24iOjF9.O7Y0CljPErSGKRacqPcDuzlJEOFo_cnQMqmXcW94JFeq_jWHXEqxHb8Jszi2LCQOlDmFf81Yn1gr7qNbef0lDQ
- type: recall
value: 0.8859392810987465
name: Recall Macro
verified: true
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- type: recall
value: 0.9285
name: Recall Micro
verified: true
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- type: recall
value: 0.9285
name: Recall Weighted
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWQ2ODgzMjE2MGE2MmM4OGEyNWUxMWU5OGE3N2JmYTY0MWMzM2JkNjQ3ZDkzMWJkZmU5YWFlYTJhYzg3ODI5NCIsInZlcnNpb24iOjF9.ELxb_KXB0H-SaXOW97WUkTaNzAPH6itG0BpOtvcY-3J33Kr7Wi4eLEyX1fYjgY01LbkPmH4UN-rUQz2pXoRBCQ
- type: f1
value: 0.8863603878501328
name: F1 Macro
verified: true
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- type: f1
value: 0.9285
name: F1 Micro
verified: true
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- type: f1
value: 0.9284728367890772
name: F1 Weighted
verified: true
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- type: loss
value: 0.1349370777606964
name: loss
verified: true
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---
# bertweet-emotion-base
This model is a fine-tuned version of [Bertweet](https://huggingface.co/vinai/bertweet-base). It achieves the following results on the evaluation set:
- Loss: 0.1172
- Accuracy: 0.945
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 80
- eval_batch_size: 80
- lr_scheduler_type: linear
- num_epochs: 6.0
### Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu113
- Datasets 1.15.1
- Tokenizers 0.10.3 |