Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: profesor_MViT_B_RLVS
+  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. -->
+
+# profesor_MViT_B_RLVS
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0753
+- Accuracy: 0.9817
+- F1: 0.9817
+- Precision: 0.9818
+- Recall: 0.9817
+- Roc Auc: 0.9995
+
+## 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: 1e-05
+- train_batch_size: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 240
+- training_steps: 2400
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.427         | 2.0333  | 240  | 0.2509          | 0.9661   | 0.9660 | 0.9671    | 0.9661 | 0.9961  |
+| 0.1551        | 5.0333  | 480  | 0.1313          | 0.9687   | 0.9687 | 0.9695    | 0.9687 | 0.9974  |
+| 0.0783        | 8.0333  | 720  | 0.1090          | 0.9713   | 0.9713 | 0.9719    | 0.9713 | 0.9974  |
+| 0.0547        | 11.0333 | 960  | 0.0647          | 0.9843   | 0.9843 | 0.9843    | 0.9843 | 0.9974  |
+| 0.0379        | 14.0333 | 1200 | 0.0472          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9987  |
+| 0.0337        | 17.0333 | 1440 | 0.0552          | 0.9869   | 0.9869 | 0.9870    | 0.9869 | 0.9986  |
+| 0.0299        | 20.0333 | 1680 | 0.0786          | 0.9843   | 0.9843 | 0.9844    | 0.9843 | 0.9992  |
+| 0.0308        | 23.0333 | 1920 | 0.0753          | 0.9817   | 0.9817 | 0.9818    | 0.9817 | 0.9995  |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.0.1+cu118
+- Datasets 3.0.2
+- Tokenizers 0.20.1

all_results.json

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+{
+    "epoch": 23.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.12687021776412924,
+    "train_runtime": 8800.974,
+    "train_samples_per_second": 5.454,
+    "train_steps_per_second": 0.273
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:c9b1632155f0c47a1d8fa1d65e28639f536bca5f2c20736e167b8caf7f0738e6
+oid sha256:09e56ecbf958b582576eb54f8244b651a11cdd9ed558677be77131735afd252f
 size 137270032

train_results.json

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+{
+    "epoch": 23.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.12687021776412924,
+    "train_runtime": 8800.974,
+    "train_samples_per_second": 5.454,
+    "train_steps_per_second": 0.273
+}