|
--- |
|
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 |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGJhMTM3YzAyMDg0YTA1MTY4ZjMyZGY1OThjYTI0ODZlOTFlMzAwZWFkNzc3MzQ4YjNiMzViMGIxYTY4M2Q1NiIsInZlcnNpb24iOjF9.1RDEvEoO3YooUsWgDUbuRoia0PBNo6dbGn9lFiXqfeCowHQMLpagMQpBHIoofCmlQA4ZHQbBtwY5lSCzJugzBQ |
|
- type: precision |
|
value: 0.8884219402987917 |
|
name: Precision Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjQ2YzhiZDg3ZTJlOGYzNTBlNjEzZTNhYjIyMjFiNWJiZjNjNjg0MTFjMDFjNmI4MzEyZThkMTg5YTNkMzNhZCIsInZlcnNpb24iOjF9.yjvC1cZQllxTpkW3e5bLBA5Wmk9o6xTwusDSPVOQsbapD-XZ5TG06dgG8OF7yxQWvYLEiIp5K0VxnGA645ngBw |
|
- type: precision |
|
value: 0.9285 |
|
name: Precision Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDE4MjcwYTgxZmM2Y2M5YzUxNmVjMWMxYjUxYzMxNWJlMGMzOGY2MWZkYTRlZTFkMWUwOTE3YjI4MmE5ZGQ3YiIsInZlcnNpb24iOjF9.SD7BSPVASL91UHNj4vJ226sPAUteEXGoEF2KWc1pKhdwUh0ZBFlnMBYbaNH6Fey0M-Cc6kqQHsYyMpBbgBG0Cw |
|
- 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 |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjVkODBlZTVlZmNiYjMyNDU2MDRiYWY4M2Y3MDRhNGQ0OTFlNDBiOGIwNGUxNzczMGFjMjg1YzNhNWI4N2QzMiIsInZlcnNpb24iOjF9.qBdhvXbJXKpoCQpJadg5rLlvTgfl4kitQlelAeCLNLTUyq6lBEg8onL78j2ln7m-njgF6dC0M10n4riIbTseDA |
|
- type: recall |
|
value: 0.9285 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2FlYjdmOWNiODUyNmI0OWViYjc2NWNhOTVlMDkyYWMxZjIyMDJlMjZkY2I3Yjg1ZjBlOTQ3MWY4ZDI3MDEwZCIsInZlcnNpb24iOjF9.ZaZNohPIOgvh5NQe6s5PWNyxwtMlrGQxsGz_zeqKshF9btY69cNQxyg9jlfXqrdmI4XhmC8K_MIEObkbfgqCBw |
|
- 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 |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGYxOWRmYzVkYWE2YWRmMTY5ODFkNWU2MGYyZWZmZmIxOTQwN2E1MTJlZjFlMTAzNjNmMzM0OGM3MTAxNzNhYSIsInZlcnNpb24iOjF9.sgcxi41I9bPbli1HO0jS9tXEVIVwdmp2nw5_nG16wO-eF5R8m7uezIUbwf8SfwTDijsZPKU7n5GI1ugKKTXbCQ |
|
- type: f1 |
|
value: 0.9285 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWU0MGE3ZjViMzAzMTk1MzhiYjA1OTM4ZDRmZDU5NmRjODE0NThiOWY1MDVjNmU2OTI1OTAzYzY0NjY0NzMwZCIsInZlcnNpb24iOjF9.-_1WgnpD_qr18pp89fkgP651yW5YZ8Vm9i0M4gH8m8uosqOlnft8i7ppsDD5sp689aDoNjqtczPi_pGTvH8iAw |
|
- type: f1 |
|
value: 0.9284728367890772 |
|
name: F1 Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDMwZDUwYThkYWU2ZDBkYzRlZGQ2YjE2MGE2YjJjNWEyMDcwM2Y2YjY1NTE1ODNmZDgzNjdhZmI4ZjFhZTM1NCIsInZlcnNpb24iOjF9.HeNsdbp4LC3pY_ZXA55xccmAvzP3LZe6ohrSuUFBInMTyO8ZExnnk5ysiXv9AJp-O3GBamQe8LKv_mxyboErAQ |
|
- type: loss |
|
value: 0.1349370777606964 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2RmN2U3YjVjNjg0NzU5NmMwOTcxM2NlMjNhNzdjMzVkMTVhYTJhNDhkMWEyMmFhZjg1NDgzODhjN2FlNzA4NiIsInZlcnNpb24iOjF9.mxi_oEnLE4QwXvm3LsT2wqa1zp7Ovul2SGpNdZjDOa0v-OWz6BfDwhNZFgQQFuls56Mi-yf9LkBevy0aNSBvAw |
|
--- |
|
|
|
# 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 |
