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Mistral-v0.2-Translator-bf16 – AI Model by syGOAT | AlphaNeural AI
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syGOAT
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Mistral-v0.2-Translator-bf16
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peft
safetensors
llama-factory
lora
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.2
adapter
other
us
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mistral-lora-bf16-epoch4
This model is a fine-tuned version of
Mistral-7B-Instruct-v0.2
on the filtered_sampled_data_wo_sysprompt dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 16
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4.0
Training results
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
