Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: profesor_Swin3D_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_Swin3D_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: 0.1794
+- Accuracy: 0.9732
+- F1: 0.9732
+- Precision: 0.9733
+- Recall: 0.9732
+- Roc Auc: 0.9978
+
+## 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: 10
+- eval_batch_size: 10
+- 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: 477
+- training_steps: 4770
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.0696        | 2.0329  | 477  | 0.0768          | 0.9732   | 0.9732 | 0.9734    | 0.9732 | 0.9980  |
+| 0.0312        | 5.0323  | 954  | 0.1061          | 0.9786   | 0.9786 | 0.9788    | 0.9786 | 0.9984  |
+| 0.0414        | 8.0317  | 1431 | 0.0981          | 0.9732   | 0.9732 | 0.9734    | 0.9732 | 0.9988  |
+| 0.0005        | 11.0310 | 1908 | 0.0739          | 0.9866   | 0.9866 | 0.9866    | 0.9866 | 0.9986  |
+| 0.0009        | 14.0304 | 2385 | 0.1144          | 0.9812   | 0.9812 | 0.9814    | 0.9812 | 0.9987  |
+| 0.0015        | 17.0298 | 2862 | 0.2200          | 0.9705   | 0.9705 | 0.9712    | 0.9705 | 0.9964  |
+| 0.0002        | 20.0291 | 3339 | 0.1794          | 0.9732   | 0.9732 | 0.9733    | 0.9732 | 0.9978  |
+
+
+### 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": 20.02914046121593,
+    "total_flos": 0.0,
+    "train_loss": 0.0445527840454793,
+    "train_runtime": 8446.1523,
+    "train_samples_per_second": 5.648,
+    "train_steps_per_second": 0.565
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3008b44696a8b3c32b2c898992cf36c6588c6346f825dbb7bb128910416d16da
+oid sha256:b9362c0c6df52eaf03ec44d02a4eb65cfd9210b483efa335cd5d38fad4435636
 size 380507488

train_results.json

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+{
+    "epoch": 20.02914046121593,
+    "total_flos": 0.0,
+    "train_loss": 0.0445527840454793,
+    "train_runtime": 8446.1523,
+    "train_samples_per_second": 5.648,
+    "train_steps_per_second": 0.565
+}