End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3909
-- Accuracy: 0.9167
-- F1: 0.9412
-- Precision: 0.9505
-- Recall: 0.9320
+- Loss: 0.3914
+- Accuracy: 0.9236
+- F1: 0.9453
+- Precision: 0.9694
+- Recall: 0.9223
 
 ## Model description
 
@@ -44,7 +44,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 4e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.597         | 1.0   | 18   | 0.3691          | 0.8472   | 0.8830 | 0.9765    | 0.8058 |
-| 0.3777        | 2.0   | 36   | 0.3620          | 0.8403   | 0.8770 | 0.9762    | 0.7961 |
-| 0.2683        | 3.0   | 54   | 0.2611          | 0.875    | 0.9072 | 0.9670    | 0.8544 |
-| 0.1939        | 4.0   | 72   | 0.2804          | 0.9097   | 0.9353 | 0.9592    | 0.9126 |
-| 0.1133        | 5.0   | 90   | 0.3516          | 0.9097   | 0.9366 | 0.9412    | 0.9320 |
-| 0.0875        | 6.0   | 108  | 0.3052          | 0.9167   | 0.9406 | 0.9596    | 0.9223 |
-| 0.0631        | 7.0   | 126  | 0.3567          | 0.9167   | 0.9412 | 0.9505    | 0.9320 |
-| 0.0368        | 8.0   | 144  | 0.3871          | 0.9167   | 0.9412 | 0.9505    | 0.9320 |
-| 0.0307        | 9.0   | 162  | 0.4000          | 0.9167   | 0.9412 | 0.9505    | 0.9320 |
-| 0.0298        | 10.0  | 180  | 0.3909          | 0.9167   | 0.9412 | 0.9505    | 0.9320 |
+| 0.5521        | 1.0   | 18   | 0.3662          | 0.7986   | 0.8432 | 0.9512    | 0.7573 |
+| 0.3114        | 2.0   | 36   | 0.4227          | 0.8125   | 0.8508 | 0.9872    | 0.7476 |
+| 0.1924        | 3.0   | 54   | 0.2520          | 0.9167   | 0.9394 | 0.9789    | 0.9029 |
+| 0.0878        | 4.0   | 72   | 0.3462          | 0.9097   | 0.9340 | 0.9787    | 0.8932 |
+| 0.0506        | 5.0   | 90   | 0.3421          | 0.9028   | 0.93   | 0.9588    | 0.9029 |
+| 0.0467        | 6.0   | 108  | 0.3557          | 0.9097   | 0.9347 | 0.9688    | 0.9029 |
+| 0.0157        | 7.0   | 126  | 0.3753          | 0.9306   | 0.9505 | 0.9697    | 0.9320 |
+| 0.0189        | 8.0   | 144  | 0.3314          | 0.9306   | 0.9495 | 0.9895    | 0.9126 |
+| 0.0054        | 9.0   | 162  | 0.3842          | 0.9236   | 0.9453 | 0.9694    | 0.9223 |
+| 0.0065        | 10.0  | 180  | 0.3914          | 0.9236   | 0.9453 | 0.9694    | 0.9223 |
 
 
 ### Framework versions

model.safetensors

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runs/Feb10_15-07-46_ae703a0e96f4/events.out.tfevents.1739200067.ae703a0e96f4.368.0

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training_args.bin

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