End of training
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-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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# roberta-base-azerbaijani
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1697
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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: 8
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- eval_batch_size: 8
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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: 3.0
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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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| 1.6126 | 0.2500 | 100910 | 1.4818 |
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| 1.4961 | 0.5000 | 201820 | 1.4163 |
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| 1.4324 | 0.7500 | 302730 | 1.3371 |
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| 1.387 | 1.0000 | 403640 | 1.3070 |
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| 1.3488 | 1.2500 | 504550 | 1.2649 |
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| 1.323 | 1.5000 | 605460 | 1.2581 |
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| 1.3006 | 1.7500 | 706370 | 1.2066 |
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| 1.2866 | 2.0000 | 807280 | 1.2095 |
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| 1.2646 | 2.2500 | 908190 | 1.2019 |
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| 1.2492 | 2.5000 | 1009100 | 1.1779 |
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| 1.2425 | 2.7500 | 1110010 | 1.1742 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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