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_RWF2000
+  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_RWF2000
+
+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: 0.7004
+- Accuracy: 0.895
+- F1: 0.8948
+- Precision: 0.8982
+- Recall: 0.895
+- Roc Auc: 0.9686
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.2107        | 2.0333  | 480  | 0.3290          | 0.88     | 0.8795 | 0.8865    | 0.88   | 0.9568  |
+| 0.1399        | 5.0333  | 960  | 0.4941          | 0.9      | 0.9000 | 0.9002    | 0.9    | 0.9642  |
+| 0.1221        | 8.0333  | 1440 | 0.4824          | 0.8975   | 0.8974 | 0.8983    | 0.8975 | 0.9675  |
+| 0.1474        | 11.0333 | 1920 | 0.5392          | 0.8975   | 0.8975 | 0.8975    | 0.8975 | 0.9665  |
+| 0.105         | 14.0333 | 2400 | 0.7004          | 0.895    | 0.8948 | 0.8982    | 0.895  | 0.9686  |
+
+
+### 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": 14.033333333333333,
+    "total_flos": 0.0,
+    "train_loss": 0.17177670220534005,
+    "train_runtime": 8691.452,
+    "train_samples_per_second": 5.523,
+    "train_steps_per_second": 0.552
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:c401adbdd02829f96e898dff2af66508c2fdbeda71a093c38dbcdc7c99235492
+oid sha256:545adb7bdaca483beaf8bd5a3dba1cbe06300700dfd8a42dcef5da2cd42f999d
 size 380507488

train_results.json

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+{
+    "epoch": 14.033333333333333,
+    "total_flos": 0.0,
+    "train_loss": 0.17177670220534005,
+    "train_runtime": 8691.452,
+    "train_samples_per_second": 5.523,
+    "train_steps_per_second": 0.552
+}