Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: bert-base-multilingual-uncased-mar-MICRO
+  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. -->
+
+# bert-base-multilingual-uncased-mar-MICRO
+
+This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2349
+- F1: 0.8335
+- Roc Auc: 0.8924
+- Accuracy: 0.7980
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.1477        | 1.0   | 551  | 0.1620          | 0.8244 | 0.8746  | 0.7895   |
+| 0.0698        | 2.0   | 1102 | 0.1553          | 0.8395 | 0.8918  | 0.8065   |
+| 0.0458        | 3.0   | 1653 | 0.1625          | 0.8438 | 0.8963  | 0.8080   |
+| 0.0313        | 4.0   | 2204 | 0.2110          | 0.8164 | 0.8970  | 0.7639   |
+| 0.0193        | 5.0   | 2755 | 0.2086          | 0.8353 | 0.8969  | 0.7966   |
+| 0.0181        | 6.0   | 3306 | 0.2413          | 0.8258 | 0.8972  | 0.7852   |
+| 0.0102        | 7.0   | 3857 | 0.2349          | 0.8335 | 0.8924  | 0.7980   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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