LavanyaM/lavan

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6156
+- Loss: 0.5847
 
 ## Model description
 
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 0.5320          |
-| 0.4794        | 2.0   | 500  | 0.5635          |
-| 0.4794        | 3.0   | 750  | 0.6156          |
+| No log        | 1.0   | 250  | 0.5263          |
+| 0.4828        | 2.0   | 500  | 0.5439          |
+| 0.4828        | 3.0   | 750  | 0.5847          |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.1
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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 size 496250232

runs/May03_15-19-54_254a817d268e/events.out.tfevents.1714749595.254a817d268e.632.0

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