End of training

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5239
-- Accuracy: 0.761
-- F1: 0.8262
+- Loss: 0.6078
+- Accuracy: 0.749
+- F1: 0.8156
 
 ## Model description
 
@@ -39,8 +39,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.657         | 1.0   | 751  | 0.5654          | 0.712    | 0.8033 |
-| 0.6196        | 2.0   | 1502 | 0.5274          | 0.76     | 0.8286 |
-| 0.6018        | 3.0   | 2253 | 0.5239          | 0.761    | 0.8262 |
+| 0.6367        | 1.0   | 1502 | 0.5411          | 0.737    | 0.8133 |
+| 0.6049        | 2.0   | 3004 | 0.5409          | 0.744    | 0.8107 |
+| 0.55          | 3.0   | 4506 | 0.6078          | 0.749    | 0.8156 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul11_21-47-59_a29a0f26b243/events.out.tfevents.1689112470.a29a0f26b243.392.0

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