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tp-csa-analyst-100k-final – AI Model by ZayedRehman | AlphaNeural AI
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ZayedRehman
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tp-csa-analyst-100k-final
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
apache-2.0
us
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tp-csa-analyst-100k-final
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the None 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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 600
Training results
Framework versions
PEFT 0.13.2
Transformers 5.0.1.dev0
Pytorch 2.8.0+cu126
Datasets 3.2.0
Tokenizers 0.22.2
