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Qwen2.5-Coder-7B-Instruct-num05-accumulate_16 – AI Model by AgPerry | AlphaNeural AI
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Qwen2.5-Coder-7B-Instruct-num05-accumulate_16
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-Coder-7B-Instruct
finetune
other
text-generation-inference
endpoints_compatible
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Qwen2.5-Coder-7B-Instruct-num05
This model is a fine-tuned version of
/mmu-vcg-hdd/multimodal/models/Qwen2.5-Coder-7B-Instruct
on the fim_midtrain_v2 and the fim_midtrain_v3_triples 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: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
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: 0.1
num_epochs: 1.0
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
