End of training

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2926
-- Accuracy: 0.9253
-- F1: 0.9252
+- Loss: 0.2637
+- Accuracy: 0.9093
+- F1: 0.9091
 
 ## Model description
 
@@ -46,14 +46,19 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2275          | 0.9258   | 0.9258 |
-| 0.1527        | 2.0   | 626  | 0.2926          | 0.9253   | 0.9252 |
+| 0.337         | 1.0   | 313  | 0.2637          | 0.9093   | 0.9091 |
+| 0.154         | 2.0   | 626  | 0.2963          | 0.9045   | 0.9049 |
+| 0.0558        | 3.0   | 939  | 0.4010          | 0.9182   | 0.9179 |
+| 0.0128        | 4.0   | 1252 | 0.6283          | 0.9201   | 0.9198 |
+| 0.0037        | 5.0   | 1565 | 0.6197          | 0.9196   | 0.9196 |
+| 0.0027        | 6.0   | 1878 | 0.6015          | 0.9216   | 0.9211 |
 
 
 ### Framework versions

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.9093421052631578,
+    "eval_f1": 0.9090618533224998,
+    "eval_loss": 0.2637197971343994,
+    "eval_runtime": 19.5155,
+    "eval_samples_per_second": 389.434,
+    "eval_steps_per_second": 12.195
+}

model.safetensors

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runs/Oct03_15-42-32_ce7fa55b11ce/events.out.tfevents.1759506153.ce7fa55b11ce.1127.6

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runs/Oct03_15-42-32_ce7fa55b11ce/events.out.tfevents.1759507536.ce7fa55b11ce.1127.7

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test_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.9093421052631578,
+    "eval_f1": 0.9090618533224998,
+    "eval_loss": 0.2637197971343994,
+    "eval_runtime": 19.5155,
+    "eval_samples_per_second": 389.434,
+    "eval_steps_per_second": 12.195
+}