autoevaluator
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
6b10ebe
| language: | |
| - en | |
| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - glue | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: roberta-base-rte | |
| results: | |
| - task: | |
| type: text-classification | |
| name: Text Classification | |
| dataset: | |
| name: GLUE RTE | |
| type: glue | |
| args: rte | |
| metrics: | |
| - type: accuracy | |
| value: 0.7978339350180506 | |
| name: Accuracy | |
| - task: | |
| type: natural-language-inference | |
| name: Natural Language Inference | |
| dataset: | |
| name: glue | |
| type: glue | |
| config: rte | |
| split: validation | |
| metrics: | |
| - type: accuracy | |
| value: 0.7906137184115524 | |
| name: Accuracy | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWVhOWZkNGYyMWRmNzdmZTM5MTVmNzFhNjVlMzA1NWU4YjJjODk5ZjM4MTY1Yjg0MTc0MmRmZTNkMzIwZDAzNyIsInZlcnNpb24iOjF9.nFZpFXDSLEIcO-_Z43_5b08GIVQiU9hFUEZpTftW3h6_zqIYZSuM7jOIuDYS3YYWMz42NoH_kosEpJg7TK15Bg | |
| - type: precision | |
| value: 0.7552447552447552 | |
| name: Precision | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDYxZTkzZjk1NDU0MjhmNzYxM2IzNzJjNjE1Y2UxYTQ0MTJmNjJlMmUzNGY3MDdiMDAyZjQ2MmE4ODExYjYxNiIsInZlcnNpb24iOjF9.98rxE2rgU5ECIv4MGzMnaPRRYg3kGLsG4pZbMuYeAFEfXqBU1K0i_G-_cU7oxIqGypNmMhYVhVxZfC7wS_saAw | |
| - type: recall | |
| value: 0.8244274809160306 | |
| name: Recall | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTNhNDZiZjMzOWM0ZGJkODMzM2VmOGYxMTYyZDNjYTgwN2NiMDFlOGI4NzM5NjQ5ODc4MWM2YmM5MTZjMWFiOCIsInZlcnNpb24iOjF9.C9aEgIz392h-zFSd98CSmzQ7Y6N0Xq3VmGIMEq9aP3dQPPrtUfl9Ms_QMSgSyWMPDYHup3SAGAP0JmkiVeOoBg | |
| - type: auc | |
| value: 0.8564258078008994 | |
| name: AUC | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWVlNGVhOTRkNjUxMGMwZmE0YzBjZDQ0YzQ0ODRmYTc0YjI0MDQ2NTNkOWQ2YjU3MmI5NzI4ZWIwMzBlNTQ1NyIsInZlcnNpb24iOjF9.hSyJjOktSt3AItNnVtgWO9jgHwtNbhv4_KrWEV1r_ywopvbpNmSG4yzaI9PZ_bQQ-4ZSmFM8zUYxCl656TWoDQ | |
| - type: f1 | |
| value: 0.7883211678832117 | |
| name: F1 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGI4Mzk1MTkyZGJkZjQ1MWZkZDIyZTA3OTU0YmZhNjI4NGUxMjk4ZGZhNjZkN2JmZWRmZGU3OWM5Zjc0ODg4NyIsInZlcnNpb24iOjF9.gkQh5Y4dm8NimTtI0i-gHAYTxFRNlOtdgz-NJW8EvNKeFNWYXqa495Q-KEnSBRv88RKiNQXBp-3fyttjhX2HCw | |
| - type: loss | |
| value: 0.5560466051101685 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjczNTgxODRlN2Q4NmUyOTdjNzE0ZTZkOWVjZDgzNTdhODAyNGVkM2M1M2I4MGM2ZWMyMDE0ODdhMzQ0N2E1NCIsInZlcnNpb24iOjF9.TfXjqAGtiIQ62HzMkEQmKMMcL9a9bvfBTJARVmTPlIdOOxxF-xuVLXSyFqq2ajhDJXmUEETXBcFzSon_zbHTCQ | |
| <!-- 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-rte | |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE RTE dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5446 | |
| - Accuracy: 0.7978 | |
| ## 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: 1e-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 | |
| - lr_scheduler_warmup_ratio: 0.06 | |
| - num_epochs: 10.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | No log | 1.0 | 156 | 0.7023 | 0.4729 | | |
| | No log | 2.0 | 312 | 0.6356 | 0.6895 | | |
| | No log | 3.0 | 468 | 0.5177 | 0.7617 | | |
| | 0.6131 | 4.0 | 624 | 0.6238 | 0.7473 | | |
| | 0.6131 | 5.0 | 780 | 0.5446 | 0.7978 | | |
| | 0.6131 | 6.0 | 936 | 0.9697 | 0.7545 | | |
| | 0.2528 | 7.0 | 1092 | 1.1004 | 0.7690 | | |
| | 0.2528 | 8.0 | 1248 | 1.1937 | 0.7726 | | |
| | 0.2528 | 9.0 | 1404 | 1.3313 | 0.7726 | | |
| | 0.1073 | 10.0 | 1560 | 1.3534 | 0.7726 | | |
| ### Framework versions | |
| - Transformers 4.20.0.dev0 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |