End of training

README.md

@@ -14,8 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_qa_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: 1.5907
 
 ## Model description
 
@@ -40,19 +38,17 @@ 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: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.2087          |
-| 2.6145        | 2.0   | 500  | 1.6460          |
-| 2.6145        | 3.0   | 750  | 1.5907          |
+| No log        | 1.0   | 250  | 3.1564          |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Tokenizers 0.15.0
+- Tokenizers 0.15.1

model.safetensors

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training_args.bin

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