End of training
Browse files- README.md +68 -0
- generation_config.json +5 -0
README.md
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---
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license: apache-2.0
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base_model: google-bert/bert-base-multilingual-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-cased-azerbaijani
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-base-cased-azerbaijani
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7046
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:------:|:---------------:|
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| 1.1035 | 0.2500 | 15300 | 0.9753 |
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| 0.988 | 0.5000 | 30600 | 0.8985 |
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| 0.9276 | 0.7500 | 45900 | 0.8464 |
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| 0.8903 | 1.0000 | 61200 | 0.7815 |
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| 0.8631 | 1.2500 | 76500 | 0.7778 |
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| 0.8435 | 1.5000 | 91800 | 0.7642 |
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| 0.8246 | 1.7500 | 107100 | 0.7496 |
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| 0.8132 | 2.0000 | 122400 | 0.7372 |
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| 0.7999 | 2.2500 | 137700 | 0.7270 |
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| 0.7924 | 2.5000 | 153000 | 0.7270 |
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| 0.7876 | 2.7500 | 168300 | 0.7178 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.40.2"
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}
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