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_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_B_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: 0.2653
+- Accuracy: 0.925
+- F1: 0.9250
+- Precision: 0.9252
+- Recall: 0.925
+- Roc Auc: 0.9813
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.5302        | 2.0333  | 240  | 0.4018          | 0.895    | 0.895  | 0.895     | 0.895  | 0.9609  |
+| 0.2816        | 5.0333  | 480  | 0.2559          | 0.9125   | 0.9125 | 0.9126    | 0.9125 | 0.9782  |
+| 0.1884        | 8.0333  | 720  | 0.2456          | 0.91     | 0.9099 | 0.9115    | 0.91   | 0.9799  |
+| 0.1991        | 11.0333 | 960  | 0.2289          | 0.9225   | 0.9225 | 0.9225    | 0.9225 | 0.9815  |
+| 0.1298        | 14.0333 | 1200 | 0.2186          | 0.9275   | 0.9275 | 0.9275    | 0.9275 | 0.9834  |
+| 0.1518        | 17.0333 | 1440 | 0.2484          | 0.9275   | 0.9275 | 0.9276    | 0.9275 | 0.9798  |
+| 0.107         | 20.0333 | 1680 | 0.2442          | 0.93     | 0.9300 | 0.9300    | 0.93   | 0.9834  |
+| 0.1021        | 23.0333 | 1920 | 0.2653          | 0.925    | 0.9250 | 0.9252    | 0.925  | 0.9813  |
+
+
+### 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": 0.22850769038001698,
+    "train_runtime": 13416.1174,
+    "train_samples_per_second": 3.578,
+    "train_steps_per_second": 0.179
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:4defddc1978436cf387f85e77c72bd9f8876867470bde7242bc96cfaec63677d
+oid sha256:2e9370e9cd9c5b3bb71c7018a2e7ff0837da57c2965d1c8a1925fc2221bc95fc
 size 137270032

train_results.json

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+{
+    "epoch": 23.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.22850769038001698,
+    "train_runtime": 13416.1174,
+    "train_samples_per_second": 3.578,
+    "train_steps_per_second": 0.179
+}