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Qwen1.5-4B-Chat-qlora-gozaru
smorce/Qwen1.5-4B-Chat-qlora-gozaru
Qwen1.5-4B-Chat-qlora-gozaru is a machine learning model from smorce. 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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Public
Updated Mar 10, 2024
Repo size
628 MB
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.pt377 MB · 58%
At a glance
- Access
- Public
- Created
- Mar 10, 2024
- Updated
- Mar 10, 2024
- SHA
- 0971a885
Model card
From the Hugging Face model README
これは使わないので削除したい。
license: other library_name: peft tags:
- llama-factory
- lora
- generated_from_trainer base_model: Qwen/Qwen1.5-4B-Chat model-index:
- name: train_2024-03-10-09-12-31 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. -->
train_2024-03-10-09-12-31
This model is a fine-tuned version of Qwen/Qwen1.5-4B-Chat on the gozaru_ja 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
- Created
- Mar 10, 2024
- Updated
- Mar 10, 2024