rd211
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Qwen3-1.7B-Base

Text Classification

Generated from Trainer

text-embeddings-inference

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Qwen3-1.7B-Base

This model is a fine-tuned version of Qwen/Qwen3-1.7B-Base 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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.PAGED_ADAMW 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: 128
num_epochs: 1

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

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Safetensors

Model size

2B params

Tensor type

BF16

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