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: bert-base-multilingual-cased-2023-11-15-16-53
+  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-cased-2023-11-15-16-53
+
+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: 0.7845
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.411         | 0.59  | 500  | 1.2887          |
+| 1.2513        | 1.19  | 1000 | 1.1391          |
+| 1.1402        | 1.78  | 1500 | 1.0585          |
+| 1.0788        | 2.38  | 2000 | 1.0004          |
+| 1.019         | 2.97  | 2500 | 0.9653          |
+| 0.9854        | 3.56  | 3000 | 0.9326          |
+| 0.9523        | 4.16  | 3500 | 0.9079          |
+| 0.9186        | 4.75  | 4000 | 0.8808          |
+| 0.9174        | 5.34  | 4500 | 0.8652          |
+| 0.8825        | 5.94  | 5000 | 0.8428          |
+| 0.8668        | 6.53  | 5500 | 0.8274          |
+| 0.8118        | 7.13  | 6000 | 0.8201          |
+| 0.849         | 7.72  | 6500 | 0.8051          |
+| 0.8478        | 8.31  | 7000 | 0.7989          |
+| 0.8073        | 8.91  | 7500 | 0.7918          |
+| 0.8365        | 9.5   | 8000 | 0.7845          |
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.7
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.1"
+}