myBit-Llama2-jp-127M-2

This model was built by referring to the config in TinyLlama/TinyLlama-1.1B-Chat-v1.0, 123M The model is a pre-trained Bit-Llama2 of Parameters with only 1 epoch on a Japanese dataset. The dataset used is range3/wiki40b-ja.

• Loss: 3.0972

Model description

Github：　BitNet-b158
More information about this model can be found in the following pages:
BitNet&BitNet b158の実装

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: 0.00024
• train_batch_size: 96
• eval_batch_size: 96
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: polynomial
• lr_scheduler_warmup_steps: 5000
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
6.9469	0.05	2000	4.7495
4.4263	0.1	4000	4.2282
4.0799	0.15	6000	3.9351
3.8199	0.2	8000	3.7209
3.6462	0.25	10000	3.5755
3.5239	0.29	12000	3.4803
3.4727	0.34	14000	3.4181
3.3953	0.39	16000	3.3752
3.3562	0.44	18000	3.3395
3.3272	0.49	20000	3.3166
3.2965	0.54	22000	3.2869
3.2771	0.59	24000	3.2680
3.2545	0.64	26000	3.2478
3.235	0.69	28000	3.2276
3.2189	0.74	30000	3.2054
3.1973	0.79	32000	3.1910
3.1793	0.83	34000	3.1675
3.1572	0.88	36000	3.1487
3.1406	0.93	38000	3.1279
3.1144	0.98	40000	3.0972

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2