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qwen3-1.7b-vericava-posts-v1 – AI Model by vericava | AlphaNeural AI
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vericava
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qwen3-1.7b-vericava-posts-v1
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
ja
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen3-1.7b-vericava-posts-v1
This is a model trained from scratch, using parameters of
Qwen/Qwen3-1.7B
on a dataset of my posts on the Internet.
Model description
It generates text resembling what I post on the Internet.
Intended uses & limitations
CAUTION: It may produce something I'd never say.
I do not impose any restriction(s) on the use of this model.
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 32
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: 300
num_epochs: 400
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
