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lihkg-story
EugeneLam/lihkg-story
lihkg-story is a machine learning model from EugeneLam. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- other
- Model type
- llama
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 7, 2024
- SHA
- ac9fda35
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. -->
model
This model is a fine-tuned version of hon9kon9ize/CantoneseLLM-v0.5 on the lihkg_story_sft_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 2.9276
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: 20
- eval_batch_size: 22
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 1280
- total_eval_batch_size: 88
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- llama
- License
- other
- Created
- Aug 7, 2024
- Updated
- Aug 7, 2024