End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: asl_classification
+  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. -->
+
+# asl_classification
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2012
+- Accuracy: 0.0962
+
+## 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: 5e-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9231 | 6    | 3.1928          | 0.1058   |
+| 2.9337        | 2.0    | 13   | 3.2067          | 0.0865   |
+| 2.9337        | 2.9231 | 19   | 3.1925          | 0.1154   |
+| 2.9273        | 4.0    | 26   | 3.1791          | 0.0769   |
+| 2.9166        | 4.9231 | 32   | 3.1959          | 0.0962   |
+| 2.9166        | 6.0    | 39   | 3.1797          | 0.0962   |
+| 2.9078        | 6.9231 | 45   | 3.1835          | 0.1058   |
+| 2.9157        | 8.0    | 52   | 3.1814          | 0.1154   |
+| 2.9157        | 8.9231 | 58   | 3.1744          | 0.1058   |
+| 2.9313        | 9.2308 | 60   | 3.1843          | 0.0962   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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