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_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_Swin3D_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: 0.0772
+- Accuracy: 0.9896
+- F1: 0.9896
+- Precision: 0.9898
+- Recall: 0.9896
+- Roc Auc: 0.9988
+
+## 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: 480
+- training_steps: 4800
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.0958        | 2.0333  | 480  | 0.1160          | 0.9791   | 0.9791 | 0.9793    | 0.9791 | 0.9976  |
+| 0.0596        | 5.0333  | 960  | 0.0682          | 0.9869   | 0.9869 | 0.9870    | 0.9869 | 0.9988  |
+| 0.0362        | 8.0333  | 1440 | 0.0955          | 0.9817   | 0.9817 | 0.9820    | 0.9817 | 0.9978  |
+| 0.0124        | 11.0333 | 1920 | 0.0489          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9984  |
+| 0.0057        | 14.0333 | 2400 | 0.0537          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9986  |
+| 0.0217        | 17.0333 | 2880 | 0.1465          | 0.9765   | 0.9765 | 0.9771    | 0.9765 | 0.9997  |
+| 0.0065        | 20.0333 | 3360 | 0.0772          | 0.9896   | 0.9896 | 0.9898    | 0.9896 | 0.9988  |
+
+
+### 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": 20.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.04553851479057422,
+    "train_runtime": 8643.2012,
+    "train_samples_per_second": 5.553,
+    "train_steps_per_second": 0.555
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4aeece18d7454e575c690096dffa823e5c365820f59359807fe5bc157ded286b
+oid sha256:948922d391159a0421f9799eaf1b626c7d5fc0168c2d0f5d37a5396242f43d31
 size 380507488

train_results.json

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+{
+    "epoch": 20.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.04553851479057422,
+    "train_runtime": 8643.2012,
+    "train_samples_per_second": 5.553,
+    "train_steps_per_second": 0.555
+}