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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: roberta-base-mrpc |
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results: |
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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: 0.8774509803921569 |
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name: Accuracy |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzdmODEyMjE4YmRmOTU3M2I1ODE0OWFiNDAzMTdiMDAwNWY5MzA4ZTZkM2IwNTRiZGQ5ZDRiMmEyMGM4ZDFmYyIsInZlcnNpb24iOjF9.w9yMqALfZG7spR6S9DA4JjWcx58TmDcz-58cSWtt7IuPc7XTxD5Ul41oHDsd17MW2hXtysOIMF23VIFmG6s3Bg |
|
- type: precision |
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value: 0.8803986710963455 |
|
name: Precision |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTZlNzNhY2NjYjQyYmM5ODgxOGQ2ZGEzOTExNGI1MjU3ZDU5M2E0YzE5ZjRmNDQ0YzMzNWQzMzUzMzkwYjIwNiIsInZlcnNpb24iOjF9.2D7xCmAnHtu3JxhgxmAVS4IUB6QjcN-5VBTga68if0ZQfww_fQ4RrhA6u2QmG06b2e0HLpSb81Ms_BkvQ1GYAA |
|
- type: recall |
|
value: 0.9498207885304659 |
|
name: Recall |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTcyZmEzYzA1NDI2OTU2YzM2ZDQwOWYzODc4NDkzOGZhMmM3MjljMzM5NjE0NTQxZDFjNDk2MTBmNzE3ODE2YSIsInZlcnNpb24iOjF9.W5VriUXKqNxLkuG5nZEZ3cIri0-7Jb1omdivO8gZVz8ejKsUUZgh7_Lxlp5dpPiMYcAb_ZFn5VhkvUi3a3v-BA |
|
- type: auc |
|
value: 0.9474174099080325 |
|
name: AUC |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWYyNGNlNTYxYTBjODU4Mzc4OGQ1ODEyOTEzMTZmMTJjNDJiOTg3NTM3MjgxNDlkMTU1NDU4ZmEyNmJlNmIxMyIsInZlcnNpb24iOjF9.Ps6oFgV_GVAn6-qVR6ips2V3QPris_tw9P3KjaeAs4R6ZQKpq_gAo60lCOG8l2UFLlDz1rHtiTNI8ErLFRtHAQ |
|
- type: f1 |
|
value: 0.9137931034482758 |
|
name: F1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDVmMWUzZmU0OTFlODIzZGQwZTcwMjEyNjc3MzA2MjMzMmZjYWJhYzc3MDBiNjg5ZjE0YTQ3ZjkyZmFmYjBjYiIsInZlcnNpb24iOjF9.IlmOiHR12pik2JktSHBpwpPZOq5CjlFmZD1KlYGnFSZExhCQt_XSFk6pzYaG_ckvO9-H0ktpvpSY0LbD6iSHBQ |
|
- type: loss |
|
value: 0.5562044978141785 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzk0ODEyMTEwNDhkYTZmY2JhNTUzMjRmZGJjYmUwZGNkZTNiZDBlMzdmZGM3NTQwNmRjNmE2MTk1NWIwMzFmYSIsInZlcnNpb24iOjF9.W3XQdn-RsmqKYIZJ47y18iYU6FjQp11fpEY8DWkh0RaWyDAK5Jwkwjqir7-LvgRJgMT7ZbaVRY4I2ozEBo_3Bg |
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--- |
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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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# roberta-base-mrpc |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE MRPC dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5565 |
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- Accuracy: 0.8775 |
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- F1: 0.9138 |
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- Combined Score: 0.8956 |
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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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