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qwen3-finetuned – AI Model by jcholera | AlphaNeural AI
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jcholera
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qwen3-finetuned
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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qwen3-finetuned
This model is a fine-tuned version of
distilbert/distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.3611
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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
5.1644
1.0
18
5.4650
5.2325
2.0
36
5.3791
4.7721
3.0
54
5.3611
Framework versions
Transformers 5.3.0
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.22.2
