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APIGen-MT-5k-SFT-Qwen2.5-32B-Instruct – AI Model by huseyinatahaninan | AlphaNeural AI
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APIGen-MT-5k-SFT-Qwen2.5-32B-Instruct
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-32B-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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APIGen-MT-5k-SFT-Qwen2.5-32B-Instruct
This model is a fine-tuned version of
Qwen/Qwen2.5-32B-Instruct
on the APIGen-MT-5k dataset. It achieves the following results on the evaluation set:
Loss: 0.1061
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: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Use 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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.1639
0.64
100
0.1270
0.1038
1.2752
200
0.1079
0.1133
1.9152
300
0.1037
0.0828
2.5504
400
0.1072
Framework versions
Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1
