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_N_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_N_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: 0.0522
+- Accuracy: 0.9896
+- F1: 0.9896
+- Precision: 0.9896
+- Recall: 0.9896
+- Roc Auc: 0.9996
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.4675        | 2.0333  | 240  | 0.2770          | 0.9687   | 0.9687 | 0.9691    | 0.9687 | 0.9955  |
+| 0.1526        | 5.0333  | 480  | 0.1237          | 0.9661   | 0.9661 | 0.9667    | 0.9661 | 0.9974  |
+| 0.0744        | 8.0333  | 720  | 0.0744          | 0.9817   | 0.9817 | 0.9818    | 0.9817 | 0.9989  |
+| 0.0579        | 11.0333 | 960  | 0.0711          | 0.9817   | 0.9817 | 0.9818    | 0.9817 | 0.9989  |
+| 0.0437        | 14.0333 | 1200 | 0.0465          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9995  |
+| 0.0328        | 17.0333 | 1440 | 0.0478          | 0.9869   | 0.9869 | 0.9871    | 0.9869 | 0.9996  |
+| 0.021         | 20.0333 | 1680 | 0.0465          | 0.9869   | 0.9869 | 0.9871    | 0.9869 | 0.9995  |
+| 0.0394        | 23.0333 | 1920 | 0.0374          | 0.9922   | 0.9922 | 0.9923    | 0.9922 | 0.9997  |
+| 0.0189        | 26.0333 | 2160 | 0.0514          | 0.9896   | 0.9896 | 0.9898    | 0.9896 | 0.9994  |
+| 0.0295        | 29.0333 | 2400 | 0.0522          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9996  |
+
+
+### 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": 29.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.1094788729896148,
+    "train_runtime": 11700.1875,
+    "train_samples_per_second": 4.102,
+    "train_steps_per_second": 0.205
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0ee7c5a38f28ac43d4578fdd3d22685097f54940a82369ec1f814409f18fdc62
+oid sha256:d1b44afea9808aa5ab17bd059b37f5ef6f51b0e8e2627f7570ca592145b91cc3
 size 137270032

train_results.json

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+{
+    "epoch": 29.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.1094788729896148,
+    "train_runtime": 11700.1875,
+    "train_samples_per_second": 4.102,
+    "train_steps_per_second": 0.205
+}