Model save

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/Phi-4-multimodal-instruct](https://huggingface.co/microsoft/Phi-4-multimodal-instruct) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0059
+- Loss: 0.0043
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 2
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.99) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 1
@@ -48,12 +48,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.0341        | 1.0   | 1275 | 0.0059          |
+| 0.0166        | 1.0   | 1275 | 0.0043          |
 
 
 ### Framework versions
 
 - Transformers 4.51.3
-- Pytorch 2.1.0+cu118
-- Datasets 3.5.1
+- Pytorch 2.8.0.dev20250319+cu128
+- Datasets 3.6.0
 - Tokenizers 0.21.1