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_S_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_S_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: 0.2273
+- Accuracy: 0.9608
+- F1: 0.9608
+- Precision: 0.9637
+- Recall: 0.9608
+- Roc Auc: 0.9993
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.4099        | 2.0333  | 240  | 0.2282          | 0.9634   | 0.9634 | 0.9639    | 0.9634 | 0.9974  |
+| 0.1424        | 5.0333  | 480  | 0.1349          | 0.9661   | 0.9660 | 0.9676    | 0.9661 | 0.9955  |
+| 0.0659        | 8.0333  | 720  | 0.0890          | 0.9765   | 0.9765 | 0.9768    | 0.9765 | 0.9989  |
+| 0.0582        | 11.0333 | 960  | 0.1153          | 0.9687   | 0.9687 | 0.9700    | 0.9687 | 0.9987  |
+| 0.0319        | 14.0333 | 1200 | 0.0400          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9994  |
+| 0.0346        | 17.0333 | 1440 | 0.0408          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9993  |
+| 0.0145        | 20.0333 | 1680 | 0.0314          | 0.9922   | 0.9922 | 0.9922    | 0.9922 | 0.9997  |
+| 0.0302        | 23.0333 | 1920 | 0.0395          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9996  |
+| 0.0244        | 26.0333 | 2160 | 0.0423          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9998  |
+| 0.0285        | 29.0333 | 2400 | 0.2273          | 0.9608   | 0.9608 | 0.9637    | 0.9608 | 0.9993  |
+
+
+### 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": 0.10047079388052226,
+    "train_runtime": 10864.6097,
+    "train_samples_per_second": 4.418,
+    "train_steps_per_second": 0.221
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2a5d85167fb0e8afe785d278aa0568ba51c5d12b25cb17d761a7c83833ebad2
+oid sha256:444ac73db617a4ef4bd562eb1b4eb6f781c24c3e4ebe9d80b779e2f39e29b8c1
 size 137270032

train_results.json

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+{
+    "epoch": 29.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.10047079388052226,
+    "train_runtime": 10864.6097,
+    "train_samples_per_second": 4.418,
+    "train_steps_per_second": 0.221
+}