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qwq_finetune_result
Pedro13543/qwq_finetune_result
qwq_finetune_result is a text generation model from Pedro13543. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- llama
- Access
- Public
- Created
- Jan 12, 2025
- Updated
- Jan 13, 2025
- SHA
- f018cb10
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
qwq_CoT_finetuned_results
This model is a fine-tuned version of nisten/Biggie-SmoLlm-0.15B-Base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9331
- eval_runtime: 274.7295
- eval_samples_per_second: 3.64
- eval_steps_per_second: 0.455
- epoch: 0.1826
- step: 2100
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: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 3000
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- mit
- Created
- Jan 12, 2025
- Updated
- Jan 13, 2025