End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-multilingual-uncased-finetuned-Wikipedia
+  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-finetuned-Wikipedia
+
+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: 1.5849
+
+## 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: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.8871        | 1.0   | 4245  | 1.7547          |
+| 1.7724        | 2.0   | 8490  | 1.6908          |
+| 1.7043        | 3.0   | 12735 | 1.6484          |
+| 1.6498        | 4.0   | 16980 | 1.6286          |
+| 1.6111        | 5.0   | 21225 | 1.5932          |
+| 1.5868        | 6.0   | 25470 | 1.5744          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.1"
+}

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