Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: estudiante_Swin3D_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. -->
+
+# estudiante_Swin3D_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: 0.4423
+- Accuracy: 0.9
+- F1: 0.9000
+- Precision: 0.9004
+- Recall: 0.9
+- Roc Auc: 0.9694
+
+## 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: 15
+- eval_batch_size: 15
+- 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: 318
+- training_steps: 3180
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.4565        | 1.0160  | 159  | 0.3441          | 0.8625   | 0.8624 | 0.8640    | 0.8625 | 0.9311  |
+| 0.2952        | 2.0321  | 318  | 0.3023          | 0.8675   | 0.8675 | 0.8677    | 0.8675 | 0.9492  |
+| 0.2393        | 4.0142  | 477  | 0.3530          | 0.88     | 0.8798 | 0.8831    | 0.88   | 0.9555  |
+| 0.2012        | 5.0302  | 636  | 0.3451          | 0.89     | 0.8900 | 0.8906    | 0.89   | 0.9576  |
+| 0.1724        | 7.0123  | 795  | 0.3739          | 0.8725   | 0.8719 | 0.8794    | 0.8725 | 0.9617  |
+| 0.1847        | 8.0283  | 954  | 0.3768          | 0.88     | 0.8798 | 0.8831    | 0.88   | 0.9607  |
+| 0.1522        | 10.0104 | 1113 | 0.3928          | 0.89     | 0.8898 | 0.8925    | 0.89   | 0.9671  |
+| 0.152         | 11.0264 | 1272 | 0.4155          | 0.9025   | 0.9025 | 0.9028    | 0.9025 | 0.9636  |
+| 0.1664        | 13.0085 | 1431 | 0.4156          | 0.8875   | 0.8874 | 0.8883    | 0.8875 | 0.9651  |
+| 0.1302        | 14.0245 | 1590 | 0.4375          | 0.895    | 0.8949 | 0.8960    | 0.895  | 0.9656  |
+| 0.1093        | 16.0066 | 1749 | 0.4739          | 0.9      | 0.8999 | 0.9014    | 0.9    | 0.9657  |
+| 0.1204        | 17.0226 | 1908 | 0.5818          | 0.8875   | 0.8869 | 0.8958    | 0.8875 | 0.9654  |
+| 0.1252        | 19.0047 | 2067 | 0.4423          | 0.9      | 0.9000 | 0.9004    | 0.9    | 0.9694  |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.0.1+cu118
+- Datasets 3.1.0
+- Tokenizers 0.20.2

all_results.json

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+{
+    "epoch": 19.004716981132077,
+    "total_flos": 0.0,
+    "train_loss": 0.20739825886692698,
+    "train_runtime": 12386.8873,
+    "train_samples_per_second": 3.851,
+    "train_steps_per_second": 0.257
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:d13bb9955af457a0142215193b37ad7572568154109d21f1f86185f5a7e079cb
+oid sha256:df4712d1ce0a13dd3755ba3f13bec9f20de8660c855c47e473fe35c83c4d768a
 size 126481280

train_results.json

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+{
+    "epoch": 19.004716981132077,
+    "total_flos": 0.0,
+    "train_loss": 0.20739825886692698,
+    "train_runtime": 12386.8873,
+    "train_samples_per_second": 3.851,
+    "train_steps_per_second": 0.257
+}