Model save

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: lyfi-bert-base-multilingual-cased-classification
+  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. -->
+
+# lyfi-bert-base-multilingual-cased-classification
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0487        | 0.29  | 500  | 0.0002          |
+| 0.0001        | 0.59  | 1000 | 0.0001          |
+| 0.0001        | 0.88  | 1500 | 0.0000          |
+| 0.0           | 1.18  | 2000 | 0.0000          |
+| 0.0           | 1.47  | 2500 | 0.0000          |
+| 0.0           | 1.76  | 3000 | 0.0000          |
+| 0.0           | 2.06  | 3500 | 0.0000          |
+| 0.0           | 2.35  | 4000 | 0.0000          |
+| 0.0           | 2.65  | 4500 | 0.0000          |
+| 0.0           | 2.94  | 5000 | 0.0000          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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