End of training

README.md

@@ -18,7 +18,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.7225
+- Loss: 6.7977
 - F1: 0.0
 
 ## Model description
@@ -46,17 +46,19 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Use 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: 5
-- mixed_precision_training: Native AMP
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | F1  |
 |:-------------:|:------:|:----:|:---------------:|:---:|
-| No log        | 1.0    | 3    | 4.7336          | 0.0 |
-| No log        | 2.0    | 6    | 4.6789          | 0.0 |
-| No log        | 3.0    | 9    | 4.7128          | 0.0 |
-| No log        | 3.4444 | 10   | 4.7225          | 0.0 |
+| No log        | 1.0    | 3    | 5.3470          | 0.0 |
+| No log        | 2.0    | 6    | 6.6234          | 0.0 |
+| No log        | 3.0    | 9    | 6.9474          | 0.0 |
+| No log        | 4.0    | 12   | 6.8799          | 0.0 |
+| No log        | 5.0    | 15   | 6.8026          | 0.0 |
+| No log        | 6.0    | 18   | 6.8010          | 0.0 |
+| No log        | 6.8889 | 20   | 6.7977          | 0.0 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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