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qwen2.5-1.5B-sample-full-sft-en – AI Model by saiteja33 | AlphaNeural AI
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qwen2.5-1.5B-sample-full-sft-en
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-1.5B
finetune
other
text-generation-inference
endpoints_compatible
us
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Model card
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polyalign
This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B
on the polyalign_train dataset. It achieves the following results on the evaluation set:
Loss: 1.7734
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: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 4
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
