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terry69_-_qwen_feedback_dirty_0.5-gguf
RichardErkhov/terry69_-_qwen_feedback_dirty_0.5-gguf
terry69_-_qwen_feedback_dirty_0.5-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025
- SHA
- 3c0196fc
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
qwen_feedback_dirty_0.5 - GGUF
- Model creator: https://huggingface.co/terry69/
- Original model: https://huggingface.co/terry69/qwen_feedback_dirty_0.5/
Original model description:
library_name: transformers license: other base_model: Qwen/Qwen1.5-0.5B-Chat tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer datasets:
- preference-data model-index:
- name: qwen_feedback_dirty_0.5 results: []
<!-- 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. -->
qwen_feedback_dirty_0.5
This model is a fine-tuned version of Qwen/Qwen1.5-0.5B-Chat on the preference-data 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: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025