Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: estudiante_MC318_profesor_MViT_kl_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_MC318_profesor_MViT_kl_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: 0.0393
+- Accuracy: 0.9813
+- F1: 0.9813
+- Precision: 0.9813
+- Recall: 0.9813
+- Roc Auc: 0.9991
+
+## 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: 30
+- eval_batch_size: 30
+- 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: 159
+- training_steps: 1590
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 1.1707        | 1.0145  | 79   | 0.3903          | 0.9091   | 0.9091 | 0.9091    | 0.9091 | 0.9760  |
+| 0.7543        | 2.0289  | 158  | 0.2225          | 0.9358   | 0.9358 | 0.9359    | 0.9358 | 0.9882  |
+| 0.5018        | 4.0082  | 237  | 0.1346          | 0.9572   | 0.9572 | 0.9577    | 0.9572 | 0.9928  |
+| 0.3639        | 5.0226  | 316  | 0.0938          | 0.9706   | 0.9706 | 0.9706    | 0.9706 | 0.9945  |
+| 0.2751        | 7.0019  | 395  | 0.1042          | 0.9706   | 0.9706 | 0.9707    | 0.9706 | 0.9963  |
+| 0.2243        | 8.0164  | 474  | 0.0650          | 0.9733   | 0.9733 | 0.9735    | 0.9733 | 0.9971  |
+| 0.1755        | 9.0308  | 553  | 0.0690          | 0.9813   | 0.9813 | 0.9813    | 0.9813 | 0.9980  |
+| 0.1681        | 11.0101 | 632  | 0.0532          | 0.9866   | 0.9866 | 0.9866    | 0.9866 | 0.9978  |
+| 0.1581        | 12.0245 | 711  | 0.0432          | 0.9813   | 0.9813 | 0.9813    | 0.9813 | 0.9991  |
+| 0.1245        | 14.0038 | 790  | 0.0446          | 0.9893   | 0.9893 | 0.9894    | 0.9893 | 0.9986  |
+| 0.1291        | 15.0182 | 869  | 0.0467          | 0.9866   | 0.9866 | 0.9868    | 0.9866 | 0.9992  |
+| 0.1057        | 16.0327 | 948  | 0.0427          | 0.9840   | 0.9840 | 0.9842    | 0.9840 | 0.9990  |
+| 0.1109        | 18.0119 | 1027 | 0.0403          | 0.9840   | 0.9840 | 0.9842    | 0.9840 | 0.9991  |
+| 0.1039        | 19.0264 | 1106 | 0.0762          | 0.9679   | 0.9679 | 0.9693    | 0.9679 | 0.9989  |
+| 0.0978        | 21.0057 | 1185 | 0.0393          | 0.9813   | 0.9813 | 0.9813    | 0.9813 | 0.9991  |
+
+
+### 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": 21.005660377358492,
+    "total_flos": 0.0,
+    "train_loss": 0.31929980732720614,
+    "train_runtime": 8703.9482,
+    "train_samples_per_second": 5.48,
+    "train_steps_per_second": 0.183
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42ddc122f4b57ef17c0458ab6ce3add7abc57d20c31983c35e275e6292da17ca
+oid sha256:a91bebdd04c822d60fcd31551edbdff3f96e13ff57cbb37716b57a9f887389cd
 size 46217752

train_results.json

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+{
+    "epoch": 21.005660377358492,
+    "total_flos": 0.0,
+    "train_loss": 0.31929980732720614,
+    "train_runtime": 8703.9482,
+    "train_samples_per_second": 5.48,
+    "train_steps_per_second": 0.183
+}