update model card README.md
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README.md
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model-index:
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- name: llama2_sinhala_tokenizer
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results: []
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library_name: peft
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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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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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### Training hyperparameters
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The following hyperparameters were used during training:
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- total_train_batch_size: 8
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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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- training_steps:
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### Training results
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### Framework versions
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- PEFT 0.4.0
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- Transformers 4.30.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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model-index:
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- name: llama2_sinhala_tokenizer
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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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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- total_train_batch_size: 8
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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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- training_steps: 1000
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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