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_S_RWF2000
+  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_S_RWF2000
+
+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: 0.2722
+- Accuracy: 0.93
+- F1: 0.9300
+- Precision: 0.9304
+- Recall: 0.93
+- Roc Auc: 0.9812
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.4986        | 2.0333  | 240  | 0.3695          | 0.9075   | 0.9075 | 0.9080    | 0.9075 | 0.9649  |
+| 0.2786        | 5.0333  | 480  | 0.2486          | 0.915    | 0.9150 | 0.9152    | 0.915  | 0.9791  |
+| 0.1896        | 8.0333  | 720  | 0.2303          | 0.92     | 0.9200 | 0.9204    | 0.92   | 0.9804  |
+| 0.1882        | 11.0333 | 960  | 0.2339          | 0.9175   | 0.9175 | 0.9178    | 0.9175 | 0.9801  |
+| 0.1381        | 14.0333 | 1200 | 0.2263          | 0.93     | 0.9300 | 0.9304    | 0.93   | 0.9807  |
+| 0.1401        | 17.0333 | 1440 | 0.2477          | 0.9275   | 0.9275 | 0.9280    | 0.9275 | 0.9795  |
+| 0.1016        | 20.0333 | 1680 | 0.2504          | 0.925    | 0.9250 | 0.9257    | 0.925  | 0.9819  |
+| 0.1106        | 23.0333 | 1920 | 0.2722          | 0.93     | 0.9300 | 0.9304    | 0.93   | 0.9812  |
+
+
+### 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": 0.22017588218053183,
+    "train_runtime": 13247.8085,
+    "train_samples_per_second": 3.623,
+    "train_steps_per_second": 0.181
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:ec3cea650251c7e1aa99e48b1759f3b4e8204b4c3eec8fc3cc24f49d7bb5e14c
+oid sha256:8aea5f6436148361404c05ded188caebbde069f1f47fbb9ed9e908d7d4bded6e
 size 137270032

train_results.json

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+{
+    "epoch": 23.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.22017588218053183,
+    "train_runtime": 13247.8085,
+    "train_samples_per_second": 3.623,
+    "train_steps_per_second": 0.181
+}