End of training

README.md

@@ -14,6 +14,8 @@ 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: 1.5961
 
 ## Model description
 
@@ -38,13 +40,16 @@ 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: 1
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.8978          |
+| No log        | 1.0   | 250  | 2.3436          |
+| 2.6964        | 2.0   | 500  | 1.7210          |
+| 2.6964        | 3.0   | 750  | 1.5719          |
+| 1.1894        | 4.0   | 1000 | 1.5961          |
 
 
 ### Framework versions

runs/Jul03_10-52-03_9f96861725f7/events.out.tfevents.1720003924.9f96861725f7.417.0

@@ -1,3 +1,3 @@
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-size 5933
+oid sha256:98f8b79db68d1b22d6d2e4a21ecd87af09fbcbbc3ee3f788b5dc27641568c788
+size 6558