Writer/segmented-context-answer-classifier-roberta-base

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0000
-- Accuracy: 1.0000
+- Loss: 0.0002
+- Accuracy: 1.0
 
 ## Model description
 
@@ -47,13 +47,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.0015        | 1.0   | 8149  | 0.0002          | 1.0      |
-| 0.0024        | 2.0   | 16298 | 0.0001          | 1.0      |
-| 0.0004        | 3.0   | 24447 | 0.0001          | 1.0      |
-| 0.0           | 4.0   | 32596 | 0.0000          | 1.0      |
-| 0.0           | 5.0   | 40745 | 0.0000          | 1.0000   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 149  | 0.0022          | 1.0      |
+| No log        | 2.0   | 298  | 0.0054          | 0.9980   |
+| No log        | 3.0   | 447  | 0.0001          | 1.0      |
+| 0.0199        | 4.0   | 596  | 0.0002          | 1.0      |
+| 0.0199        | 5.0   | 745  | 0.0002          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:26d98aeb09c7d8ddcd6146b62d6a2c00a03ff08e81c38f683dcc69df4061c489
+oid sha256:6544c222697082af9abc474ea6dca709337d5fb30d152ec72ad71c559c2a8b5b
 size 498612824