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
- Downloads last month
- 2