train with full train set

README.md

@@ -17,8 +17,8 @@ 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: 0.2973
-- F1: 0.8828
+- Loss: 0.2743
+- F1: 0.9327
 
 ## Model description
 
@@ -43,14 +43,15 @@ 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: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 63   | 0.3670          | 0.8643 |
-| No log        | 2.0   | 126  | 0.2973          | 0.8828 |
+| 0.2258        | 1.0   | 1563 | 0.2161          | 0.9122 |
+| 0.1486        | 2.0   | 3126 | 0.2291          | 0.9306 |
+| 0.0916        | 3.0   | 4689 | 0.2743          | 0.9327 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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