Ineract
/

distilbert-base-uncased-finetuned-policies

Question Answering

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

vosadcii commited on Jan 10, 2023

Commit

f1ce39a

·

1 Parent(s): 0675a39

update model card README.md

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the policies dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0023
 ## Model description
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2104        | 1.0   | 759  | 0.0027          |
-| 0.0012        | 2.0   | 1518 | 0.0023          |
-| 0.0005        | 3.0   | 2277 | 0.0023          |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the policies dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0002
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 282  | 0.0003          |
+| 0.2303        | 2.0   | 564  | 0.0002          |
+| 0.2303        | 3.0   | 846  | 0.0002          |
 ### Framework versions