Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: ennedendahakotubert
+  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. -->
+
+# ennedendahakotubert
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6561
+- Accuracy: 0.5476
+- F1: 0.4969
+- Precision: 0.5597
+- Recall: 0.4468
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- 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: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 2.5202        | 1.0   | 771  | 0.6304          | 0.5729   | 0.3810 | 0.6921    | 0.2628 |
+| 2.52          | 2.0   | 1542 | 0.6230          | 0.5768   | 0.6437 | 0.5559    | 0.7644 |
+| 2.399         | 3.0   | 2313 | 0.6289          | 0.5682   | 0.6491 | 0.5467    | 0.7988 |
+| 2.4829        | 4.0   | 3084 | 0.6366          | 0.5552   | 0.6149 | 0.5422    | 0.7101 |
+| 2.4135        | 5.0   | 3855 | 0.6561          | 0.5476   | 0.4969 | 0.5597    | 0.4468 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan11_11-00-15_3dfd06df4537/events.out.tfevents.1736593228.3dfd06df4537.844.1

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