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Terminal-terminal_traj – AI Model by cuong1692001 | AlphaNeural AI
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cuong1692001
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Terminal-terminal_traj
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transformers
safetensors
qwen3
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen3-8B
finetune
other
text-generation-inference
endpoints_compatible
us
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Terminal-terminal_traj
This model is a fine-tuned version of
Qwen/Qwen3-8B
on the terminal_traj 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: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 8
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 2.0
Training results
Framework versions
Transformers 4.56.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.22.1
