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--- |
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license: apache-2.0 |
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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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model-index: |
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- name: autoevaluate-binary-classification |
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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 |
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type: glue |
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args: sst2 |
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metrics: |
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- type: accuracy |
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value: 0.8967889908256881 |
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name: Accuracy |
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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 |
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type: glue |
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config: sst2 |
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split: validation |
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metrics: |
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- type: accuracy |
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value: 0.8967889908256881 |
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name: Accuracy |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTFlOTdiMDAzZGViNDg5M2I3NTgwMjc1ZjkzY2MwOTZjOWZiYmU0NmRmM2IwNDY5YmRmNTVlNDY0NDE2NWZmZCIsInZlcnNpb24iOjF9.6d1x30eSEs8YfDPPtICHQfXEg4VnrGUdVSWLf2_vUldUToSAw74qAUWSbk6sEk1mzPDPVw4RczluYWU0IZUdBw |
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- type: precision |
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value: 0.8898678414096917 |
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name: Precision |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzhmZmViMzkzODA3ODExNWY1MDg0NzBlNGZhYTZlYzFhZDc1ZGI0Nzk1NWI0ZjBlODlhODQ4OGVmN2MwYWNhNiIsInZlcnNpb24iOjF9.1fR41yn4FE80VVRfG9dWm5icW16gBg4o_lSmnHqe3nIhenIIkoNCfks6VqNfd0QWSMM4TpUPRku5q1iiz2aIDQ |
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- type: recall |
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value: 0.9099099099099099 |
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name: Recall |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzk0MmVjYWU4NzkzZWIyMGJhNzRlNWFkNGJmZDcyYzMxZmNiMGYzYzYyYzA5NjhhN2I4OWEwNDAzZmYwMTJkYSIsInZlcnNpb24iOjF9.zQD5ytQnIJ4UEx5lFHWny8NuPPp79Z6O7sJJsWfqR7L6cwQUx9pycU97zyL9Rw8yRcngZbgyDKldmhn5vR8dCw |
|
- type: auc |
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value: 0.9672186789593331 |
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name: AUC |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGZlMGMwODQ0NmMwNDE3NzU1YWRkYTMyMGI0NWI4MDA2NTFkNWI1MWM4NjNmYTdkMjA5OTRmY2U3NDUwMWFjNyIsInZlcnNpb24iOjF9.PUmHEc87_81R2PoIxmcVLulheA475I1IIVqIP-9huiFL5mhzP6S4Li9fBe-SpcGLmWHvL1G-HyB6dMsE8e9HDw |
|
- type: f1 |
|
value: 0.8997772828507795 |
|
name: F1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzkwZjYzYjI4ZGJjZjk0NWFiY2IxOTEyYmJmOGRjM2IwNzNmZTdlMjFjNzc1MmNmZTA5MDcwMTgzZTAzOWVmNyIsInZlcnNpb24iOjF9.GGM0p5vy4tdmWKk6aFLfnQHAS2xYl7VBHBsuckgbhP_UYcZp0bGorbHQkHAdB2pJaOjtc1sSUR5AV30eCBayDw |
|
- type: loss |
|
value: 0.30092036724090576 |
|
name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmQ5N2Y4NDYzNzUyMGJlODQxZDA0Y2QyNmE0M2IyM2VhOTVlYWVjMDZmZmE3NWMwMTg0MGE4YTQwNzVmMjA2YyIsInZlcnNpb24iOjF9.E73R7ch2UnYuAA4KQzoefY0u6sgJ0FP-h2IWss2L0tPHXxAycSGmADAjUmBjfPWX3-XqhcZwm1-5QB-q6ujHDA |
|
- type: matthews_correlation |
|
value: 0.793630584795814 |
|
name: matthews_correlation |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2Q5YzEyN2NhYzg2ZDVmZTA1ZTEzNjk1ZjM1NjliZDEwNjhjZDdhN2E4NTlhZjA1M2M3MmFiNGRlN2I5NjU1MiIsInZlcnNpb24iOjF9.qjSNWo5Z1_b29Rw5kH2ffWSsDx9KVVZHJ8JUyZdQ7LEDQyOvi8RIzN6ich_FlfFLmw4MuZUKOhbk5Pxocm33AA |
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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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# binary-classification |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3009 |
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- Accuracy: 0.8968 |
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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: 16 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.175 | 1.0 | 4210 | 0.3009 | 0.8968 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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