Mahesh9/distil-bert-fintuned-issues-cfpb-complaints

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7196
-- Accuracy: 0.7450
-- Precision: 0.5763
-- Recall: 0.5233
-- F1: 0.5371
+- Loss: 0.6711
+- Accuracy: 0.7652
+- Precision: 0.5935
+- Recall: 0.5577
+- F1: 0.5702
 
 ## Model description
 
@@ -49,13 +49,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.7281        | 1.0   | 11603 | 0.7196          | 0.7450   | 0.5763    | 0.5233 | 0.5371 |
+| 0.7269        | 1.0   | 11603 | 0.7187          | 0.7438   | 0.5853    | 0.5327 | 0.5491 |
+| 0.612         | 2.0   | 23206 | 0.6711          | 0.7652   | 0.5935    | 0.5577 | 0.5702 |
 
 
 ### Framework versions