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: vit-large-noah-espejel
+  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. -->
+
+# vit-large-noah-espejel
+
+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: 0.0120
+- Accuracy: 0.9925
+
+## 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-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.1128        | 3.8462 | 500  | 0.0286          | 0.9925   |
+| 0.0068        | 7.6923 | 1000 | 0.0120          | 0.9925   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.011992084793746471,
+    "eval_runtime": 4.1897,
+    "eval_samples_per_second": 31.744,
+    "eval_steps_per_second": 4.058,
+    "total_flos": 8.012743541191066e+17,
+    "train_loss": 0.04713441610336304,
+    "train_runtime": 578.1312,
+    "train_samples_per_second": 17.885,
+    "train_steps_per_second": 2.249
+}

eval_results.json

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+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9924812030075187,
+    "eval_loss": 0.011992084793746471,
+    "eval_runtime": 4.1897,
+    "eval_samples_per_second": 31.744,
+    "eval_steps_per_second": 4.058
+}

model.safetensors

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 size 343227052

runs/Oct28_17-35-35_ed8d531a2ec0/events.out.tfevents.1730137562.ed8d531a2ec0.530.1

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+size 411

train_results.json

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+{
+    "epoch": 10.0,
+    "total_flos": 8.012743541191066e+17,
+    "train_loss": 0.04713441610336304,
+    "train_runtime": 578.1312,
+    "train_samples_per_second": 17.885,
+    "train_steps_per_second": 2.249
+}