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_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. -->
+
+# estudiante_Swin3D_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: 0.1367
+- Accuracy: 0.9786
+- F1: 0.9786
+- Precision: 0.9787
+- Recall: 0.9786
+- Roc Auc: 0.9981
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.2317        | 1.0160  | 159  | 0.1561          | 0.9412   | 0.9410 | 0.9453    | 0.9412 | 0.9878  |
+| 0.1354        | 2.0321  | 318  | 0.0908          | 0.9652   | 0.9652 | 0.9654    | 0.9652 | 0.9939  |
+| 0.0698        | 4.0142  | 477  | 0.1050          | 0.9679   | 0.9679 | 0.9688    | 0.9679 | 0.9952  |
+| 0.0767        | 5.0302  | 636  | 0.0930          | 0.9759   | 0.9759 | 0.9761    | 0.9759 | 0.9972  |
+| 0.0576        | 7.0123  | 795  | 0.0916          | 0.9786   | 0.9786 | 0.9787    | 0.9786 | 0.9975  |
+| 0.0514        | 8.0283  | 954  | 0.0840          | 0.9813   | 0.9813 | 0.9814    | 0.9813 | 0.9985  |
+| 0.0481        | 10.0104 | 1113 | 0.1026          | 0.9733   | 0.9733 | 0.9733    | 0.9733 | 0.9980  |
+| 0.0257        | 11.0264 | 1272 | 0.1148          | 0.9813   | 0.9813 | 0.9814    | 0.9813 | 0.9966  |
+| 0.03          | 13.0085 | 1431 | 0.1170          | 0.9759   | 0.9759 | 0.9761    | 0.9759 | 0.9981  |
+| 0.0302        | 14.0245 | 1590 | 0.1537          | 0.9733   | 0.9733 | 0.9735    | 0.9733 | 0.9978  |
+| 0.0414        | 16.0066 | 1749 | 0.1367          | 0.9786   | 0.9786 | 0.9787    | 0.9786 | 0.9981  |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.0.1+cu118
+- Datasets 3.1.0
+- Tokenizers 0.20.3

all_results.json

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+{
+    "epoch": 16.006603773584906,
+    "total_flos": 0.0,
+    "train_loss": 0.0886634129534591,
+    "train_runtime": 6948.2294,
+    "train_samples_per_second": 6.865,
+    "train_steps_per_second": 0.458
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:ffedcd1f41c0470779649df96f427c6bb9b22414d951cd73be50292828b2425c
+oid sha256:925e7559ae258fe1632f225142634612bbf5fbe2a1335f336232a649b10cd036
 size 126481280

train_results.json

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+{
+    "epoch": 16.006603773584906,
+    "total_flos": 0.0,
+    "train_loss": 0.0886634129534591,
+    "train_runtime": 6948.2294,
+    "train_samples_per_second": 6.865,
+    "train_steps_per_second": 0.458
+}