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_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_O_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: 0.0289
+- Accuracy: 0.9946
+- F1: 0.9946
+- Precision: 0.9947
+- Recall: 0.9946
+- Roc Auc: 0.9997
+
+## 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: 237
+- training_steps: 2370
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.4418        | 2.0325  | 237  | 0.2877          | 0.9464   | 0.9464 | 0.9477    | 0.9464 | 0.9917  |
+| 0.1303        | 5.0312  | 474  | 0.1071          | 0.9705   | 0.9705 | 0.9709    | 0.9705 | 0.9984  |
+| 0.0767        | 8.0300  | 711  | 0.0454          | 0.9946   | 0.9946 | 0.9946    | 0.9946 | 0.9998  |
+| 0.0628        | 11.0287 | 948  | 0.0341          | 0.9946   | 0.9946 | 0.9947    | 0.9946 | 0.9994  |
+| 0.0381        | 14.0274 | 1185 | 0.0157          | 0.9973   | 0.9973 | 0.9973    | 0.9973 | 1.0     |
+| 0.0328        | 17.0262 | 1422 | 0.0202          | 0.9946   | 0.9946 | 0.9947    | 0.9946 | 0.9999  |
+| 0.0276        | 20.0249 | 1659 | 0.0447          | 0.9866   | 0.9866 | 0.9869    | 0.9866 | 1.0000  |
+| 0.0497        | 23.0236 | 1896 | 0.0289          | 0.9946   | 0.9946 | 0.9947    | 0.9946 | 0.9997  |
+
+
+### 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": 23.023628691983124,
+    "total_flos": 0.0,
+    "train_loss": 0.1262424577200463,
+    "train_runtime": 8776.2165,
+    "train_samples_per_second": 5.401,
+    "train_steps_per_second": 0.27
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:5262fefecabea0270979bc39b4215768b052d4d06a72c3ed397bb565c5b9c014
+oid sha256:e261057e46aad91bbb11c418592f2f5ba14b5e05f26d41b606b6d9ca6e8aa8f7
 size 137270032

train_results.json

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+{
+    "epoch": 23.023628691983124,
+    "total_flos": 0.0,
+    "train_loss": 0.1262424577200463,
+    "train_runtime": 8776.2165,
+    "train_samples_per_second": 5.401,
+    "train_steps_per_second": 0.27
+}