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Llama-3.1-Freego-8B-Instruct

Text Generation

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text-generation-inference

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sft-2024-12-28-1

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the patent-zh_tw-en-translation and the manythings-translations-alpaca datasets.

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-06
train_batch_size: 14
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 896
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 30.0

Training results

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

Downloads last month: 67

Safetensors

Model size

8.03B params

Tensor type

BF16

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Inference Examples

Text Generation

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meta-llama/Llama-3.1-8B

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Evaluation results

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