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: 3.7091

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: 0.0005
train_batch_size: 156
eval_batch_size: 156
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
19.3793	0.04	1000	5.3113
5.0921	0.08	2000	4.9641
4.8154	0.12	3000	4.7104
4.6664	0.16	4000	4.5876
4.5545	0.2	5000	4.5258
4.4743	0.24	6000	4.4283
4.4061	0.28	7000	4.3539
4.3117	0.32	8000	4.2735
4.2433	0.36	9000	4.2243
4.2037	0.4	10000	4.1739
4.1576	0.44	11000	4.1266
4.0925	0.48	12000	4.0624
4.0615	0.52	13000	4.0433
4.0151	0.56	14000	3.9993
3.9721	0.6	15000	3.9721
3.941	0.64	16000	3.9185
3.9	0.68	17000	3.8841
3.8719	0.72	18000	3.8539
3.8376	0.76	19000	3.8189
3.8131	0.8	20000	3.7946
3.7801	0.84	21000	3.7739
3.7604	0.88	22000	3.7515
3.7413	0.92	23000	3.7365
3.7265	0.96	24000	3.7231
3.7152	1.0	25000	3.7091

Framework versions

Transformers 4.36.2
Pytorch 2.2.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

HachiML/Bit-Llama2-jp-123M

Bit-Llama2-jp-123M

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HachiML/
Bit-Llama2-jp-123M