SciBERT-SocietalAI-Finetuned

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4315
-- Accuracy: 0.8986
+- Loss: 0.4243
+- Accuracy: 0.9055
 
 ## Model description
 
@@ -43,14 +43,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2976        | 1.0   | 138  | 0.3139          | 0.8877   |
-| 0.2736        | 2.0   | 276  | 0.4315          | 0.8986   |
+| 0.4842        | 1.0   | 101  | 0.3403          | 0.8507   |
+| 0.3146        | 2.0   | 202  | 0.4111          | 0.8756   |
+| 0.2277        | 3.0   | 303  | 0.4243          | 0.9055   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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