LavanyaM/lavan

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+license: cc-by-4.0
+base_model: deepset/roberta-base-squad2
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # lavan
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+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: 1.9549
+- Loss: 0.5732
 
 ## Model description
 
@@ -40,17 +40,15 @@ 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: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 1.7068          |
-| 0.9971        | 2.0   | 500  | 1.7797          |
-| 0.9971        | 3.0   | 750  | 1.7495          |
-| 0.5612        | 4.0   | 1000 | 1.8588          |
-| 0.5612        | 5.0   | 1250 | 1.9549          |
+| No log        | 1.0   | 250  | 0.4834          |
+| 0.4755        | 2.0   | 500  | 0.5435          |
+| 0.4755        | 3.0   | 750  | 0.5732          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 496250232

runs/May04_01-53-41_218085d26442/events.out.tfevents.1714787622.218085d26442.584.2

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