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--- |
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base_model: NousResearch/Llama-2-7b-hf |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: translation_llm |
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results: [] |
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datasets: |
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- ekaterinatao/translation_wikimatrix_tatoeba |
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- sentence-transformers/parallel-sentences-tatoeba |
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- sentence-transformers/parallel-sentences-wikimatrix |
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language: |
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- ru |
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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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# translation_llm |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an [dataset](https://huggingface.co/datasets/ekaterinatao/translation_wikimatrix_tatoeba) that combines russian sentences from two datasets: [parallel-sentences-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba) and [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix). |
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The model is finetuned for russian language. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0039 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0063 | 0.8591 | 1000 | 0.0110 | |
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| 0.0041 | 1.7181 | 2000 | 0.0089 | |
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| 0.0016 | 2.5772 | 3000 | 0.0086 | |
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| 0.0006 | 3.4362 | 4000 | 0.0041 | |
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| 0.0023 | 4.2953 | 5000 | 0.0039 | |
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### Framework versions |
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- PEFT 0.13.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
