End of training

README.md

@@ -14,7 +14,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8359
+- Loss: 1.9212
 
 ## Model description
 
@@ -34,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -45,9 +45,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 63   | 2.2025          |
-| No log        | 2.0   | 126  | 1.8785          |
-| No log        | 3.0   | 189  | 1.8359          |
+| No log        | 1.0   | 125  | 2.9442          |
+| No log        | 2.0   | 250  | 2.0882          |
+| No log        | 3.0   | 375  | 1.9212          |
 
 
 ### Framework versions

model.safetensors

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runs/Feb14_11-30-36_Ravi-Desktop/events.out.tfevents.1707924637.Ravi-Desktop.7464.0

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training_args.bin

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