End of training

README.md

@@ -20,11 +20,11 @@ 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: 0.2380
-- Accuracy: 0.9124
-- F1: 0.9152
-- Precision: 0.8870
-- Recall: 0.9452
+- Loss: 0.2377
+- Accuracy: 0.9138
+- F1: 0.9165
+- Precision: 0.8889
+- Recall: 0.9458
 
 ## Model description
 
@@ -49,17 +49,19 @@ 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: 5
+- num_epochs: 7
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4992        | 1.0   | 876  | 0.2831          | 0.8921   | 0.8978 | 0.8530    | 0.9475 |
-| 0.2706        | 2.0   | 1752 | 0.2446          | 0.9038   | 0.9057 | 0.8881    | 0.9241 |
-| 0.2494        | 3.0   | 2628 | 0.2370          | 0.9095   | 0.9114 | 0.8927    | 0.9309 |
-| 0.2393        | 4.0   | 3504 | 0.2385          | 0.9112   | 0.9140 | 0.8863    | 0.9435 |
-| 0.2306        | 5.0   | 4380 | 0.2380          | 0.9124   | 0.9152 | 0.8870    | 0.9452 |
+| Training Loss | Epoch | Step | Accuracy | F1     | Validation Loss | Precision | Recall |
+|:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|:---------:|:------:|
+| 0.4992        | 1.0   | 876  | 0.8921   | 0.8978 | 0.2831          | 0.8530    | 0.9475 |
+| 0.2706        | 2.0   | 1752 | 0.9038   | 0.9057 | 0.2446          | 0.8881    | 0.9241 |
+| 0.2494        | 3.0   | 2628 | 0.9095   | 0.9114 | 0.2370          | 0.8927    | 0.9309 |
+| 0.2393        | 4.0   | 3504 | 0.9112   | 0.9140 | 0.2385          | 0.8863    | 0.9435 |
+| 0.2306        | 5.0   | 4380 | 0.9124   | 0.9152 | 0.2380          | 0.8870    | 0.9452 |
+| 0.229         | 6.0   | 5256 | 0.2405   | 0.9121 | 0.9152          | 0.8836    | 0.9492 |
+| 0.2255        | 7.0   | 6132 | 0.2377   | 0.9138 | 0.9165          | 0.8889    | 0.9458 |
 
 
 ### Framework versions

model.safetensors

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runs/Apr16_15-58-12_e91cb29cabd1/events.out.tfevents.1713283103.e91cb29cabd1.628.1

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