End of training

README.md

@@ -4,8 +4,6 @@ license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: asl_classification
   results: []
@@ -18,8 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 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
+- eval_loss: 3.0043
+- eval_accuracy: 0.2019
+- eval_runtime: 1.4504
+- eval_samples_per_second: 71.703
+- eval_steps_per_second: 2.758
+- epoch: 21.5385
+- step: 35
 
 ## Model description
 
@@ -38,32 +41,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 64
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
+- lr_scheduler_type: cosine
 - 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   |
-
+- num_epochs: 100
 
 ### Framework versions
 

model.safetensors

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runs/Sep22_05-51-58_a5fe0263c8a0/events.out.tfevents.1726984319.a5fe0263c8a0.1647.1

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