roberta-base-mrpc / README.md
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#3)
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---
language:
- en
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: roberta-base-mrpc
results:
- task:
type: natural-language-inference
name: Natural Language Inference
dataset:
name: glue
type: glue
config: mrpc
split: validation
metrics:
- type: accuracy
value: 0.8774509803921569
name: Accuracy
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzdmODEyMjE4YmRmOTU3M2I1ODE0OWFiNDAzMTdiMDAwNWY5MzA4ZTZkM2IwNTRiZGQ5ZDRiMmEyMGM4ZDFmYyIsInZlcnNpb24iOjF9.w9yMqALfZG7spR6S9DA4JjWcx58TmDcz-58cSWtt7IuPc7XTxD5Ul41oHDsd17MW2hXtysOIMF23VIFmG6s3Bg
- type: precision
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
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-mrpc
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5565
- Accuracy: 0.8775
- F1: 0.9138
- Combined Score: 0.8956
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
### Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu102
- Datasets 2.1.0
- Tokenizers 0.11.6