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_O_UCFCRIME
+  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_O_UCFCRIME
+
+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: 0.6626
+- Accuracy: 0.5705
+- F1: 0.5488
+- Precision: 0.6097
+- Recall: 0.5705
+- Roc Auc: 0.7163
+
+## 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: 72
+- training_steps: 720
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.6883        | 2.0236  | 72   | 0.6839          | 0.5993   | 0.5953 | 0.6136    | 0.5993 | 0.6495  |
+| 0.6687        | 5.0083  | 144  | 0.6742          | 0.5914   | 0.5807 | 0.6174    | 0.5914 | 0.7125  |
+| 0.6698        | 7.0319  | 216  | 0.6704          | 0.5767   | 0.5587 | 0.6117    | 0.5767 | 0.7110  |
+| 0.6401        | 10.0181 | 288  | 0.6626          | 0.5705   | 0.5488 | 0.6097    | 0.5705 | 0.7163  |
+
+
+### 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": 10.018055555555556,
+    "total_flos": 0.0,
+    "train_loss": 0.6711029675271776,
+    "train_runtime": 1372.1123,
+    "train_samples_per_second": 10.495,
+    "train_steps_per_second": 0.525
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:0642a36d772eb85df549578fc59c01e0e4925eb2512f8d6dacc4447416b1deca
+oid sha256:029751ebee9115601877eeba1fad4fdd6f9302bcc780322202a8910b9cb37cc6
 size 137270032

train_results.json

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+{
+    "epoch": 10.018055555555556,
+    "total_flos": 0.0,
+    "train_loss": 0.6711029675271776,
+    "train_runtime": 1372.1123,
+    "train_samples_per_second": 10.495,
+    "train_steps_per_second": 0.525
+}