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qwen7b-bfcl-mini-full-sft-s42 – AI Model by 17Lab | AlphaNeural AI
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qwen7b-bfcl-mini-full-sft-s42
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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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qwen7b_bfcl_mini_full_sft_s42
This model is a fine-tuned version of
Qwen/Qwen2.5-7B
on the bfcl_mini_sft dataset. It achieves the following results on the evaluation set:
Loss: 0.2251
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: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.05
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.1746
1.96
25
0.2569
0.0856
3.0
39
0.2251
Framework versions
Transformers 5.6.0
Pytorch 2.7.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
