
**Hyperparameters:** 

 - learning rate: 2e-5
 - weight decay: 0.01
 - per_device_train_batch_size: 8
 - per_device_eval_batch_size: 8
 - gradient_accumulation_steps:1
 - eval steps: 6000
 - max_length: 512
 - num_epochs: 2
 
**Dataset version:** 
 - “craffel/tasky_or_not”, “10xp3_10xc4”, “15f88c8”

**Checkpoint:** 

 - 48000 steps

**Results on Validation set:**

| Step  | Training Loss | Validation Loss | Accuracy | Precision | Recall   | F1       |
|-------|---------------|-----------------|----------|-----------|----------|----------|
| 6000  | 0.031900      | 0.163412        | 0.982194 | 0.999211  | 0.980462 | 0.989748 |
| 12000 | 0.014700      | 0.106132        | 0.976666 | 0.999639  | 0.973733 | 0.986516 |
| 18000 | 0.010700      | 0.043012        | 0.995743 | 0.999223  | 0.995918 | 0.997568 |
| 24000 | 0.007400      | 0.095047        | 0.984724 | 0.999857  | 0.982714 | 0.991211 |
| 30000 | 0.004100      | 0.087274        | 0.990400 | 0.999829  | 0.989217 | 0.994495 |
| 36000 | 0.003100      | 0.162909        | 0.981972 | 1.000000  | 0.979434 | 0.989610 |
| 42000 | 0.002200      | 0.148721        | 0.980454 | 0.999986  | 0.977717 | 0.988726 |
| 48000 | 0.001000      | 0.094455        | 0.990437 | 0.999943  | 0.989147 | 0.994516 |
{"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: 8
* per\_device\_eval\_batch\_size: 8
* gradient\_accumulation\_steps:1
* eval steps: 6000
* max\_length: 512
* num\_epochs: 2


Dataset version:


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


Checkpoint:


* 48000 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 
