End of training

README.md

@@ -14,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # faq_model
 
 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: 3.3390
 
 ## Model description
 
@@ -32,19 +34,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 3e-05
+- train_batch_size: 12
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 75   | 4.3412          |
+| No log        | 1.0   | 94   | 3.5903          |
+| No log        | 2.0   | 188  | 3.3390          |
 
 
 ### Framework versions

model.safetensors

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runs/Apr20_20-22-50_658439ea8cd5/events.out.tfevents.1713644571.658439ea8cd5.553.3

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training_args.bin

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