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_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_MC318_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: 0.2680
+- Accuracy: 0.87
+- F1: 0.8694
+- Precision: 0.8764
+- Recall: 0.87
+- Roc Auc: 0.9601
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.5966        | 1.0145  | 79   | 0.5355          | 0.77     | 0.7685 | 0.7771    | 0.77   | 0.8832  |
+| 0.4891        | 2.0289  | 158  | 0.4288          | 0.825    | 0.8244 | 0.8297    | 0.825  | 0.9166  |
+| 0.4116        | 4.0082  | 237  | 0.3961          | 0.845    | 0.8437 | 0.8566    | 0.845  | 0.9366  |
+| 0.3327        | 5.0226  | 316  | 0.3424          | 0.86     | 0.8593 | 0.8672    | 0.86   | 0.9448  |
+| 0.2947        | 7.0019  | 395  | 0.3604          | 0.835    | 0.8332 | 0.8505    | 0.835  | 0.9513  |
+| 0.2586        | 8.0164  | 474  | 0.3327          | 0.8375   | 0.8358 | 0.8523    | 0.8375 | 0.9545  |
+| 0.2285        | 9.0308  | 553  | 0.2984          | 0.8725   | 0.872  | 0.8784    | 0.8725 | 0.9566  |
+| 0.2144        | 11.0101 | 632  | 0.2996          | 0.8625   | 0.8617 | 0.8714    | 0.8625 | 0.9591  |
+| 0.1771        | 12.0245 | 711  | 0.3077          | 0.87     | 0.8694 | 0.8774    | 0.87   | 0.9596  |
+| 0.1579        | 14.0038 | 790  | 0.2680          | 0.87     | 0.8694 | 0.8764    | 0.87   | 0.9601  |
+
+
+### 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": 14.00377358490566,
+    "total_flos": 0.0,
+    "train_loss": 0.3328045028674452,
+    "train_runtime": 9464.731,
+    "train_samples_per_second": 5.04,
+    "train_steps_per_second": 0.168
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2b6d58681ceedc44f6f181cfe1d93dd2d73fe40e5fc9c38d3c93869e3cb88cc
+oid sha256:5d85054068bc22b031cef7a99bea5aed859f1ea444c09397befb553450ea45d5
 size 46217752

train_results.json

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+{
+    "epoch": 14.00377358490566,
+    "total_flos": 0.0,
+    "train_loss": 0.3328045028674452,
+    "train_runtime": 9464.731,
+    "train_samples_per_second": 5.04,
+    "train_steps_per_second": 0.168
+}