Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: sign-language-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. -->
+
+# sign-language-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: 0.1667
+- Accuracy: 0.96
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.4777        | 1.0   | 100  | 1.4706          | 0.78     |
+| 1.0291        | 2.0   | 200  | 0.6969          | 0.88     |
+| 0.6083        | 3.0   | 300  | 0.5337          | 0.875    |
+| 0.4699        | 4.0   | 400  | 0.4255          | 0.895    |
+| 0.3472        | 5.0   | 500  | 0.3180          | 0.9125   |
+| 0.3473        | 6.0   | 600  | 0.2908          | 0.9075   |
+| 0.2629        | 7.0   | 700  | 0.2675          | 0.935    |
+| 0.2261        | 8.0   | 800  | 0.1667          | 0.96     |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Mar15_10-27-14_b37b964875e5/events.out.tfevents.1710498434.b37b964875e5.34.0

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