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--- |
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license: llama2 |
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language: |
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- ru |
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metrics: |
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- accuracy |
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--- |
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# ruadapt_llama2_7b_v0.1 |
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This model is a fine-tuned (embeddings, lm head) version of TheBloke/Llama-2-7B-fp16 on the Russian dataset (33GB). |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7569 |
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- Accuracy: 0.4617 |
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Instruct version: |
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https://huggingface.co/rccmsu/ruadapt_saiga2_7b_v0.1 |
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## Model description |
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Russian adaptation of LLaMa-2-7B 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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## Intended uses & limitations |
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LLAMA 2 COMMUNITY LICENSE AGREEMENT |
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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 |
