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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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config: sst2 |
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split: validation |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8967889908256881 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmIzNTQzNTdmOWYyNmI3MDZiNTljNjU3ZmM2OTFmMzQyZTE1NDY4MjJkYWQ2ZmZiYTJhYTU5NGFkZDYwOTQ0OCIsInZlcnNpb24iOjF9.KH3XYA5ERa68EQUBPm1Jbw5S10dpjbeTR2Dc5d8NoVPue4h3tdlbmN3FfyOU1dQ4tHnIDwHqxiJJnNGdM9cEDg |
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- name: Precision |
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type: precision |
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value: 0.8898678414096917 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODgwZGQ2ODBhZDI2ZjM3M2Q4OTQyNjViOTY3MDk3YjAwZjg0ODhlM2M4N2NmYmQzOTlkOGVkMDgwY2RmOTE1MCIsInZlcnNpb24iOjF9.potMTyGROXNJq0zC_kC9lAR3oqI1nOnWZ09XNLEyPbgzmOQ_jvJWH7U7gzkd6BlhkFrnttkPl1O4VOvAAuQKCg |
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- name: Recall |
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type: recall |
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value: 0.9099099099099099 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzZjY2I2NjBkMjVjMTk2YzJmMDIzYjY3NzRmMGRmYTM2Y2U0Mjc0NDZjMjE3MWZlYzJjMGZjYmExYjk0ZjEyNyIsInZlcnNpb24iOjF9.69DayhBa8EEbBPCWwonMYawLBNeH5f6cv6mPeZ0jKq0yFpMGXcZJETdh_TMifnkMKQQZs8C_CpSBz8DJnh_IAA |
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- name: AUC |
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type: auc |
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value: 0.9672186789593331 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGY0ZjJiZTNmODdiMzZkZGFiOWQ3ZDg4MjVmOGVjZDNkMzE5ZGVkMWUzYzY5ZDhmOTg0MzNjOGQ4N2IzZDM2OCIsInZlcnNpb24iOjF9.tpUZmfQZ0TREqxkSDfA0Tiw1E2cn1FoU1yFUAbY6BHko-ay3-cTSHkBUObGnVpeeCaHMSuTap30lB4qD3qRMAg |
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- name: F1 |
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type: f1 |
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value: 0.8997772828507795 |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjU4MTBkMjllYzk2ZmE2Y2MxODhlODljNTEyZjlhYTQxMDAwZGYzZTg1Mzc4NjBlZTk0ODVhMWJhN2FlZmMzZCIsInZlcnNpb24iOjF9.VcX2afBIJBFSJbZPZvuxx1GCNuIjB3zyQ0G-UGhvjoOLE23s23dWBiTT00VZHCOPqmNpIrKJ_ZaDqMmSPyYQBA |
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- name: loss |
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type: loss |
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value: 0.30092036724090576 |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDlhMDUyOGE2NTA4ZGY0MDY1Y2E2MzFkYzU4NjRjZmJmZjFlYzkwY2ZlNWE2OTkxYzQyMzcxMzA5ZDRiYWMxYyIsInZlcnNpb24iOjF9.oWS9P7t9o6FA0vqitSVLOmhmOfnAcFqOff_I_zoIFfF3V8OURstz6tP_-MxYnLeNUCuYSGFDiXaZUaYuvLc3Bw |
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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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