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finetuned-llama2-7b-en-hi – AI Model by ritika-kumar | AlphaNeural AI
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cfilt/iitb-english-hindi
meta-llama/Llama-2-7b-hf
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apache-2.0
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Finetuning
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the IITB English to Hindi dataset. source group: English target group: Hindi
Model description
meta-llama/Llama-2-7b-hf finetuned for translation task in Hindi language
Training and evaluation data
cfilt/iitb-english-hindi
Training hyperparameters
The following hyperparameters were used during training:
num_train_epochs=1
per_device_train_batch_size=4
per_device_eval_batch_size = 4
gradient_accumulation_steps=1
optim="paged_adamw_32bit"
learning_rate=2e-4
weight_decay=0.001
fp16=True
max_grad_norm=0.3
max_steps=-1
warmup_ratio=0.03
group_by_length=True
lr_scheduler_type="constant"
Benchamark Evaluation
BLEU score on Tatoeba: 12.605968092174914
BLUE score on IN-22: 25.893729634826876
Training procedure
The following
bitsandbytes
quantization config was used during training:
load_in_8bit: False
load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: False
bnb_4bit_compute_dtype: float16
Framework versions
PEFT 0.4.0
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
