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AKILM-sft – AI Model by ini | AlphaNeural AI

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ini/
AKILM-sft

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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Qwen2.5-7B_cls_aki_v2

This model is a fine-tuned version of /mnt/hwfile/trustai/qianchen/models/Qwen2.5-7B on the cls_aki_v2 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-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 3.0

Training results

Framework versions

Transformers 4.45.0
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.0