
**Hyperparameters:** 

 - learning rate: 2e-5
 - weight decay: 0.01
 - per_device_train_batch_size: 16
 - per_device_eval_batch_size: 16
 - gradient_accumulation_steps:1
 - eval steps: 5000
 - max_length: 128
 - num_epochs: 3
 
**Dataset version:** 
 - “craffel/tasky_or_not”, “10xp3_10xc4”, “15f88c8”

**Checkpoint:** 

 - 10000 steps

**Results on Validation set:**

| Step  | Training Loss | Validation Loss | Accuracy | Precision | Recall   | F1       |
|-------|---------------|-----------------|----------|-----------|----------|----------|
| 5000  | 0.036400      | 0.266518        | 0.926913 | 0.999662  | 0.916934 | 0.956513 |
| 10000 | 0.022500      | 0.222881        | 0.952443 | 0.999494  | 0.946227 | 0.972132 |
| 15000 | 0.016600      | 0.634102        | 0.882638 | 0.999789  | 0.866301 | 0.928270 |
| 20000 | 0.011300      | 1.138026        | 0.849013 | 0.999796  | 0.827928 | 0.905781 |
| 25000 | 0.010300      | 0.623522        | 0.895619 | 0.999728  | 0.881166 | 0.936710 |
| 30000 | 0.006300      | 0.776632        | 0.879492 | 0.999804  | 0.862697 | 0.926204 |
| 35000 | 0.000500      | 0.704599        | 0.899149 | 0.999698  | 0.885220 | 0.938982 |
{"language": ["en"], "license": "mit", "datasets": ["craffel/tasky_or_not"], "metrics": ["accuracy", "f1", "recall", "precision"], "pipeline_tag": "text-classification"}
transformers pytorch deberta-v2 text-classification en dataset:craffel/tasky_or_not license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #deberta-v2 #text-classification #en #dataset-craffel/tasky_or_not #license-mit #autotrain_compatible #endpoints_compatible #region-us 

Hyperparameters:


* learning rate: 2e-5
* weight decay: 0.01
* per\_device\_train\_batch\_size: 16
* per\_device\_eval\_batch\_size: 16
* gradient\_accumulation\_steps:1
* eval steps: 5000
* max\_length: 128
* num\_epochs: 3


Dataset version:


* “craffel/tasky\_or\_not”, “10xp3\_10xc4”, “15f88c8”


Checkpoint:


* 10000 steps


Results on Validation set:




TAGS
#transformers #pytorch #deberta-v2 #text-classification #en #dataset-craffel/tasky_or_not #license-mit #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #deberta-v2 #text-classification #en #dataset-craffel/tasky_or_not #license-mit #autotrain_compatible #endpoints_compatible #region-us 
