Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: estudiante_S3D_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_S3D_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: 0.0569
+- Accuracy: 0.9840
+- F1: 0.9840
+- Precision: 0.9840
+- Recall: 0.9840
+- Roc Auc: 0.9964
+
+## 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: 75
+- eval_batch_size: 75
+- 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: 189
+- training_steps: 1890
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.3299        | 3.0116  | 94   | 0.2381          | 0.9144   | 0.9142 | 0.9203    | 0.9144 | 0.9785  |
+| 0.1284        | 7.0106  | 188  | 0.1116          | 0.9332   | 0.9331 | 0.9360    | 0.9332 | 0.9897  |
+| 0.072         | 11.0095 | 282  | 0.0926          | 0.9626   | 0.9626 | 0.9639    | 0.9626 | 0.9945  |
+| 0.046         | 15.0085 | 376  | 0.0669          | 0.9840   | 0.9840 | 0.9840    | 0.9840 | 0.9967  |
+| 0.034         | 19.0074 | 470  | 0.0625          | 0.9840   | 0.9840 | 0.9840    | 0.9840 | 0.9968  |
+| 0.0237        | 23.0063 | 564  | 0.0466          | 0.9840   | 0.9840 | 0.9840    | 0.9840 | 0.9968  |
+| 0.0282        | 27.0053 | 658  | 0.0644          | 0.9840   | 0.9840 | 0.9840    | 0.9840 | 0.9965  |
+| 0.0145        | 31.0042 | 752  | 0.0628          | 0.9813   | 0.9813 | 0.9814    | 0.9813 | 0.9967  |
+| 0.0158        | 35.0032 | 846  | 0.0569          | 0.9840   | 0.9840 | 0.9840    | 0.9840 | 0.9964  |
+
+
+### 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": 35.00317460317461,
+    "total_flos": 0.0,
+    "train_loss": 0.10059127260889003,
+    "train_runtime": 14056.7952,
+    "train_samples_per_second": 10.084,
+    "train_steps_per_second": 0.134
+}

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:da764a5bc87a8c9c47a0047d44ec60b1f3e63e5784c698943605ae6366d3c438
+oid sha256:28b84f66414b197053edbf4c97a26e80e470627c761f872f39f054357e8c761e
 size 31782968

train_results.json

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+{
+    "epoch": 35.00317460317461,
+    "total_flos": 0.0,
+    "train_loss": 0.10059127260889003,
+    "train_runtime": 14056.7952,
+    "train_samples_per_second": 10.084,
+    "train_steps_per_second": 0.134
+}