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--- |
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language: |
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- en |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: camembert-base-mrpc |
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results: |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: GLUE MRPC |
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type: glue |
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args: mrpc |
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metrics: |
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- type: accuracy |
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value: 0.8504901960784313 |
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name: Accuracy |
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- type: f1 |
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value: 0.8927943760984183 |
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name: F1 |
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- task: |
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type: natural-language-inference |
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name: Natural Language Inference |
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dataset: |
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name: glue |
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type: glue |
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config: mrpc |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 0.8504901960784313 |
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name: Accuracy |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWJjOGZiMzBlNjhhNTZlMjEzNTE5MDM2OTJmYzZhZTE2YzE0MWM0ZmY2Zjk5ZTkxYWE0NTEyMDVlMDI5N2MwZiIsInZlcnNpb24iOjF9.dLsmgphn4jg1LbcOwDagIBRtQJ3spLTOcPxOpVnNqE-oU6ttKxW-Ypg7arQxOV-swVu4xpl3SDGaqEDE5sZnCw |
|
- type: precision |
|
value: 0.8758620689655172 |
|
name: Precision |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2ZiY2ZiODZmOTJkN2I4YzYxY2NmMDc1NzQyMmI0MTI0MDlmYzkzNDhjMTA4NmIzNzNjNjE4NmMwMjI1MDRjMyIsInZlcnNpb24iOjF9.94XqLpsB43QQqsnh5ykt_jZuKXOjSbtwFgEUscatZzJdwIt0WBHY7oNpoodbZbk0eUDzTIoZyNoN59glXmlEAg |
|
- type: recall |
|
value: 0.910394265232975 |
|
name: Recall |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTY3MDljNGM4ZjYxZjc1YmYyZTkwNjc4MTRmOTFjZjYyZDdlY2EyZTc4OWE0NWQ3ODIxY2NmODIzY2IxMWY5YiIsInZlcnNpb24iOjF9.BGacWdlFR1hw98mwV6P1UPbBInb4Z8XIpRkqqZdeQPpH9RBBdGoaiKuKx7FJKGDgMLEaqwleER4n6FSC7KaQDg |
|
- type: auc |
|
value: 0.9029062821260871 |
|
name: AUC |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDU0ZjdjZGNjNjAxZWM3NzNlYmM2NWFlZmYwZTY5ZDI2ZTY2ZTk0YTVhODc0NzcyMjNjOGFjOTY0YjYzMmU2ZCIsInZlcnNpb24iOjF9.jalnocWEmIaPkl1l-kHZm9I49WumqCay5T5C3_5RKhPZMCidPIRB14Y7a6klepf19-__EmP34QS3HxEl5iVMBA |
|
- type: f1 |
|
value: 0.8927943760984183 |
|
name: F1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2I1MGVmODRlYTNjZTJmYWRiYTA5YzEyODkxYjQ2ZGNlMTliODAwMzMwNGEzMWQ2ZGRhYmYwZjVjMTgwNGU2NCIsInZlcnNpb24iOjF9.QgvEjsEulus1kvcBkHqV3RrcigOSNcfCbkKa6JWPCRxIyzbiFpNCvkFubSHbVPe0SX2h9vjgjmECv-SapMLKDg |
|
- type: loss |
|
value: 0.42868512868881226 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjIwMjNiYzI4NzgwZGI5MWU2NDgzYTQzNTYwNGUwMmZlNmViODhhYWIzZGE1ZWIxYzExMzRiOTU1YzFhNWQ0OSIsInZlcnNpb24iOjF9.NUgxlMh9Z0EyRqeKRr3BYYk9L02EdmJM-alLPPecPkML_ZdcbWHW-JOQN_vUTgYNda80dUBKRj_FmJ4kRF4yAQ |
|
--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# camembert-base-mrpc |
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the GLUE MRPC dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4286 |
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- Accuracy: 0.8505 |
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- F1: 0.8928 |
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- Combined Score: 0.8716 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu102 |
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- Datasets 2.1.0 |
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- Tokenizers 0.11.6 |
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