Model save

README.md

@@ -4,6 +4,9 @@ license: apache-2.0
 base_model: answerdotai/ModernBERT-large
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- accuracy
 model-index:
 - name: ModernEMO-large
   results: []
@@ -15,6 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 # ModernEMO-large
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2210
+- F1: 0.6969
+- Roc Auc: 0.8082
+- Accuracy: 0.6196
 
 ## Model description
 
@@ -34,13 +42,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 8e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.2365        | 1.0   | 5427  | 0.2099          | 0.6885 | 0.7980  | 0.5947   |
+| 0.1665        | 2.0   | 10854 | 0.2210          | 0.6969 | 0.8082  | 0.6196   |
+
+
 ### Framework versions
 
 - Transformers 4.49.0.dev0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8e2f7df16c1c069f22b099376d548bf74bd66b660545ed6b849f5d53ff90646f
 size 1583372140