End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.2549
-- Accuracy: 0.9183
-- F1: 0.9183
+- Loss: 0.3524
+- Accuracy: 0.8961
+- F1: 0.8959
 
 ## Model description
 
@@ -41,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 512
+- eval_batch_size: 512
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2710          | 0.9099   | 0.9098 |
-| 0.3111        | 2.0   | 626  | 0.2549          | 0.9183   | 0.9183 |
+| No log        | 1.0   | 20   | 0.4361          | 0.8841   | 0.8837 |
+| No log        | 2.0   | 40   | 0.3524          | 0.8961   | 0.8959 |
 
 
 ### Framework versions