Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/convnext-small-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Validated_Balanced_Raw_Data_model_boost8
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Validated_Balanced_Raw_Data_model_boost8
+
+This model is a fine-tuned version of [facebook/convnext-small-224](https://huggingface.co/facebook/convnext-small-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2936
+- Accuracy: 0.3774
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 1337
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+- label_smoothing_factor: 0.05
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3729        | 1.0   | 80   | 1.3303          | 0.3962   |
+| 1.3243        | 2.0   | 160  | 1.3051          | 0.3821   |
+| 1.3093        | 3.0   | 240  | 1.2962          | 0.3774   |
+| 1.2908        | 4.0   | 320  | 1.2941          | 0.3821   |
+| 1.2836        | 5.0   | 400  | 1.2936          | 0.3774   |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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