Model save

README.md

@@ -1,5 +1,6 @@
 ---
 library_name: transformers
+license: apache-2.0
 base_model: answerdotai/ModernBERT-base
 tags:
 - generated_from_trainer
@@ -17,8 +18,8 @@ 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: 1.1478
-- Accuracy: 0.7447
+- Loss: 0.8678
+- Accuracy: 0.8045
 
 ## Model description
 
@@ -37,27 +38,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 9e-05
-- train_batch_size: 96
-- eval_batch_size: 96
+- learning_rate: 0.0002
+- train_batch_size: 24
+- eval_batch_size: 24
 - seed: 0
-- gradient_accumulation_steps: 64
-- total_train_batch_size: 6144
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- gradient_accumulation_steps: 128
+- total_train_batch_size: 3072
+- 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
-- lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.148         | 1.0   | 17   | 1.1497          | 0.7445   |
+| 0.8497        | 1.0   | 7325 | 0.8678          | 0.8045   |
 
 
 ### Framework versions
 
 - Transformers 4.55.0
 - Pytorch 2.8.0+cu128
-- Datasets 3.6.0
+- Datasets 4.0.0
 - Tokenizers 0.21.4

model.safetensors

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