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README.md
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---
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license: apache-2.0
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language:
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- ru
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pipeline_tag: text-generation
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---
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# ruadapt_mistral_7b_v0.1
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This model is a fine-tuned (embeddings, lm head) version of mistralai/Mistral-7B-v0.1 on the Russian dataset (33GB). The training lasted 0.8 epochs, after which an error occurred. Was slightly additionally trained using LoRa after that.
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ATTENTION!!!
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The metrics on various datasets are slightly worse than those of the original model.
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## Model description
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Russian adaptation of Mistral-7B by replacing the tokenizer.
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Paper: Tikhomirov M., Chernyshev D. Impact of Tokenization on LLaMa Russian Adaptation //arXiv preprint arXiv:2312.02598. – 2023.
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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: 6
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- eval_batch_size: 6
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 192
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- total_eval_batch_size: 96
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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- lr_scheduler_type: linear
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- num_epochs: 2.0
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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