End of training

README.md

@@ -0,0 +1,63 @@
+---
+library_name: transformers
+base_model: motheecreator/vit-Facial-Expression-Recognition
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-Facial-Expression-Recognition
+  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-Facial-Expression-Recognition
+
+This model is a fine-tuned version of [motheecreator/vit-Facial-Expression-Recognition](https://huggingface.co/motheecreator/vit-Facial-Expression-Recognition) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3629
+- Accuracy: 0.8758
+
+## 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: 3e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 2048
+- optimizer: Use 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_steps: 1000
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.5354        | 2.1633 | 500  | 0.3629          | 0.8758   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.998377501352082,
+    "eval_accuracy": 0.8757862698681096,
+    "eval_loss": 0.36285433173179626,
+    "eval_runtime": 460.4845,
+    "eval_samples_per_second": 64.215,
+    "eval_steps_per_second": 0.252
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.998377501352082,
+    "eval_accuracy": 0.8757862698681096,
+    "eval_loss": 0.36285433173179626,
+    "eval_runtime": 460.4845,
+    "eval_samples_per_second": 64.215,
+    "eval_steps_per_second": 0.252
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3776fafc38fd0c5774812e0df62f848773606149f216b7b020f56ac3488f12b1
+oid sha256:58ae70a22b210e705e6f303c09d9eda05c8ed6545f60f2bf44d5141a29e36b8f
 size 343239356