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_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_Swin3D_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: 0.1391
+- Accuracy: 0.9791
+- F1: 0.9791
+- Precision: 0.9796
+- Recall: 0.9791
+- Roc Auc: 0.9994
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.1156        | 2.0333  | 480  | 0.1322          | 0.9713   | 0.9713 | 0.9714    | 0.9713 | 0.9967  |
+| 0.0542        | 5.0333  | 960  | 0.1482          | 0.9687   | 0.9687 | 0.9700    | 0.9687 | 0.9990  |
+| 0.0199        | 8.0333  | 1440 | 0.0505          | 0.9869   | 0.9869 | 0.9871    | 0.9869 | 0.9994  |
+| 0.0229        | 11.0333 | 1920 | 0.0922          | 0.9869   | 0.9869 | 0.9871    | 0.9869 | 0.9965  |
+| 0.0163        | 14.0333 | 2400 | 0.0567          | 0.9896   | 0.9896 | 0.9896    | 0.9896 | 0.9992  |
+| 0.0236        | 17.0333 | 2880 | 0.2269          | 0.9661   | 0.9660 | 0.9682    | 0.9661 | 0.9990  |
+| 0.0083        | 20.0333 | 3360 | 0.1574          | 0.9765   | 0.9765 | 0.9771    | 0.9765 | 0.9989  |
+| 0.0041        | 23.0333 | 3840 | 0.1391          | 0.9791   | 0.9791 | 0.9796    | 0.9791 | 0.9994  |
+
+
+### 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": 23.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.044640214413569385,
+    "train_runtime": 9056.9725,
+    "train_samples_per_second": 5.3,
+    "train_steps_per_second": 0.53
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:f06f42db9228136a114f1e3255f2e3aa975d0a4224c17dc44ecc8452dd855997
+oid sha256:b9ca06797a57e1e7c4b4051a38d711cdd795f93b6db0aaca95998fc3002202cf
 size 380507488

train_results.json

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+{
+    "epoch": 23.033333333333335,
+    "total_flos": 0.0,
+    "train_loss": 0.044640214413569385,
+    "train_runtime": 9056.9725,
+    "train_samples_per_second": 5.3,
+    "train_steps_per_second": 0.53
+}