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_VIOPERU
+  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_VIOPERU
+
+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: 0.4218
+- Accuracy: 0.8519
+- F1: 0.8519
+- Precision: 0.8519
+- Recall: 0.8519
+- Roc Auc: 0.9100
+
+## 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: 22
+- eval_batch_size: 22
+- 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: 90
+- training_steps: 900
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.6682        | 7.0067  | 90   | 0.6678          | 0.6111   | 0.5504 | 0.7849    | 0.6111 | 0.8791  |
+| 0.5925        | 14.0133 | 180  | 0.6043          | 0.8519   | 0.8519 | 0.8519    | 0.8519 | 0.875   |
+| 0.4774        | 22.0067 | 270  | 0.5004          | 0.8889   | 0.8886 | 0.8907    | 0.8889 | 0.8929  |
+| 0.3457        | 29.0133 | 360  | 0.4336          | 0.8704   | 0.8702 | 0.8707    | 0.8704 | 0.8929  |
+| 0.221         | 37.0067 | 450  | 0.3516          | 0.8519   | 0.8519 | 0.8519    | 0.8519 | 0.8984  |
+| 0.139         | 44.0133 | 540  | 0.3847          | 0.8704   | 0.8697 | 0.8745    | 0.8704 | 0.9080  |
+| 0.0955        | 52.0067 | 630  | 0.3967          | 0.8704   | 0.8675 | 0.8963    | 0.8704 | 0.9121  |
+| 0.0773        | 59.0133 | 720  | 0.4283          | 0.8704   | 0.8697 | 0.8745    | 0.8704 | 0.9032  |
+| 0.0584        | 67.0067 | 810  | 0.3643          | 0.8889   | 0.8880 | 0.8971    | 0.8889 | 0.9114  |
+| 0.0441        | 74.0133 | 900  | 0.4218          | 0.8519   | 0.8519 | 0.8519    | 0.8519 | 0.9100  |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.0.1+cu118
+- Datasets 3.1.0
+- Tokenizers 0.20.1

all_results.json

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+{
+    "epoch": 74.01333333333334,
+    "total_flos": 0.0,
+    "train_loss": 0.28845465143521626,
+    "train_runtime": 11386.9322,
+    "train_samples_per_second": 1.739,
+    "train_steps_per_second": 0.079
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0fcb18973558d72612636d4fe9966a809e2e40fcca7c9f054d66b21f4dd1290b
+oid sha256:8baaa7c2d67e17d0c1ff9f70182f3ce67bd1d63acb0d05c9602bd9899442b60e
 size 137270032

train_results.json

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+{
+    "epoch": 74.01333333333334,
+    "total_flos": 0.0,
+    "train_loss": 0.28845465143521626,
+    "train_runtime": 11386.9322,
+    "train_samples_per_second": 1.739,
+    "train_steps_per_second": 0.079
+}