Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/convnext-base-224-22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Validated_Balanced_Raw_Data_model_boost6
+  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_boost6
+
+This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1596
+- Accuracy: 0.5283
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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: 0.1
+- num_epochs: 20.0
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3904        | 1.0   | 80   | 1.3300          | 0.3679   |
+| 1.3255        | 2.0   | 160  | 1.2853          | 0.3868   |
+| 1.2779        | 3.0   | 240  | 1.2196          | 0.4340   |
+| 1.2267        | 4.0   | 320  | 1.1914          | 0.4528   |
+| 1.1508        | 5.0   | 400  | 1.1553          | 0.5047   |
+| 1.0964        | 6.0   | 480  | 1.2145          | 0.4764   |
+| 1.0742        | 7.0   | 560  | 1.1814          | 0.5      |
+| 1.0315        | 8.0   | 640  | 1.1222          | 0.5377   |
+| 1.0283        | 9.0   | 720  | 1.1561          | 0.5189   |
+| 0.999         | 10.0  | 800  | 1.1940          | 0.5094   |
+| 0.961         | 11.0  | 880  | 1.1440          | 0.5047   |
+| 0.9484        | 12.0  | 960  | 1.1716          | 0.5      |
+| 0.8779        | 13.0  | 1040 | 1.1549          | 0.5142   |
+| 0.8613        | 14.0  | 1120 | 1.1524          | 0.5283   |
+| 0.8572        | 15.0  | 1200 | 1.1644          | 0.5189   |
+| 0.8605        | 16.0  | 1280 | 1.1536          | 0.5236   |
+| 0.8268        | 17.0  | 1360 | 1.1561          | 0.5283   |
+| 0.8171        | 18.0  | 1440 | 1.1589          | 0.5283   |
+| 0.8242        | 19.0  | 1520 | 1.1594          | 0.5236   |
+| 0.7743        | 20.0  | 1600 | 1.1596          | 0.5283   |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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