File size: 4,252 Bytes
7dfa11e cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 cf10b45 83449f9 7dfa11e dace771 7dfa11e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 |
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: autoevaluate-binary-classification
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- type: accuracy
value: 0.8967889908256881
name: Accuracy
- task:
type: text-classification
name: Text Classification
dataset:
name: glue
type: glue
config: sst2
split: validation
metrics:
- type: accuracy
value: 0.8967889908256881
name: Accuracy
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODYyYzVkYjBhYjYzYzJjOWVmNmM3ZjU0NGUwMDdlM2YzYzc0YTZhODg3OWU5MDAxNDFlYmQxYTY5NWNkODEzNSIsInZlcnNpb24iOjF9.2sVz9OnBR_sWbfCXaPECZrdxUA1ec4zOrTQa0mWMnHZO22-mb7oUUto4Zf88neSZd0GpKKFlp3_DtaZE-fR5DA
- type: precision
value: 0.8898678414096917
name: Precision
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDY2NGUxYWEzNmI0ZDg3NmRlMjA5OTVkZGY1MTlmNDM1MjczNGQxNzY4NjVmZTM2NzU5MGRhNzU3MTZmZjlkNCIsInZlcnNpb24iOjF9.0NYcCYHeHqJB7AYk2P3f2zysLIdHHVvjgKX5Rfk4bCfECDjxTzDYKyH_nNQ-Thifrd3j517NkFGeJNX22bSZCw
- type: recall
value: 0.9099099099099099
name: Recall
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGNkMGUwNTBmZDgzZDJjNDA1ZjA2MjE4ZWFjZGQ2NWQ1ZmU4NjAxMGU1Mzc5YTg4MzcwOTQ1YTgzM2EyNmZkOCIsInZlcnNpb24iOjF9.5iPQ7kP_QKTS5tdpu0KsVVLI26ala7kxBP1eilPignOLCc-gmhuJcrufQUGf0VslApT1gQUb4l6PUvP74FwDDQ
- type: auc
value: 0.9672186789593331
name: AUC
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTI3MGE5NmYyNzY5YzQ3MmJmNGQ0NjgwOTk1YzY3ZjRjNjViNzcxZDgyNzMxMDJiZTc3NjE2ZGRjYzE2ZThmNSIsInZlcnNpb24iOjF9.qqFgxzJYtr7hZXTn07uXtj8sfaBxWToyDXdsigQXxgA4C7X2QK42b5x1E8j1WKp0sHHWltmBpslNPuFx9JM6DA
- type: f1
value: 0.8997772828507795
name: F1
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWE0ZTg2NmRhMTYzZDFiZWZlNzlhMzI1OGYyOGM2OTA1NTFiOTRmZjZhODdlOWE2ZWZlMWIwNjJkZmY1ZWEzNCIsInZlcnNpb24iOjF9.6cKV-SgBLxoYCoJE77LNzhlHlGSYHlmdSH-ODl2JlisdfldiCiKcyZ81fjEwYu74uznbkVN09s_xBaZJ4Og2Aw
- type: loss
value: 0.30092036724090576
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzk0Y2RkYzQ5MTMxNzAzZGRlYTU2OGYwYzExZmYxYjQ2YTBkYTM1NjY0YjhlOGExMTkyYmM5ZDAxY2QwOWUxOCIsInZlcnNpb24iOjF9.i7J8HW_2QfiLWWqddRyy9d383AGwJo4QUbC-xZmNtRaUn7wq-3HCjPFCVujzTZNFjiL_6KWSEiFr7AKjRwOKDA
- type: matthews_correlation
value: 0.793630584795814
name: matthews_correlation
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWM2NjViY2VjNWI5MzdjNTlhMjFhNzg0ZWE5NDBhNWYwN2ZjNjEyZTEyZTM3YWFhY2ZmZGM5NWM1YThmNDhjNyIsInZlcnNpb24iOjF9.ocagJb9gQAFPpBSGzRVAud6-nxVtNVJ-Jqy97BlUMwRl0bTurTa22TUYfZyXkF9fjvMZ9o3A5xtwPSQGuOypDw
---
<!-- 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. -->
# binary-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3009
- Accuracy: 0.8968
## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.175 | 1.0 | 4210 | 0.3009 | 0.8968 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
|