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RECAST-Qwen-sft – AI Model by wenhaoliu123 | AlphaNeural AI
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RECAST-Qwen-sft
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-7B
finetune
other
text-generation-inference
endpoints_compatible
us
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Model card
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our_new_generation_Qwen2.5-7B_4
This model is a fine-tuned version of
/mnt/nj-1/dataset/liuwenhao/model/Qwen/Qwen2.5-7B
on the our_new_generation_4.json 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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 32
total_train_batch_size: 1024
total_eval_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3.0
Training results
Framework versions
Transformers 4.50.1
Pytorch 2.4.0+cu124
Datasets 3.1.0
Tokenizers 0.21.1
