This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.8881

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: 200
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
81.1838	0.06	100	36.2006
19.2038	0.12	200	14.9311
11.2975	0.18	300	7.1671
6.8849	0.24	400	7.7815
6.636	0.3	500	5.9966
5.8384	0.36	600	5.6706
5.5927	0.42	700	5.4943
5.3739	0.47	800	5.4396
5.2842	0.53	900	5.2687
5.1623	0.59	1000	5.1615
5.1032	0.65	1100	5.2671
5.0324	0.71	1200	5.0162
4.9742	0.77	1300	4.9700
4.9145	0.83	1400	4.9156
4.8702	0.89	1500	4.9086
4.8465	0.95	1600	4.8881

Framework versions

Transformers 4.36.2
Pytorch 2.2.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

HachiML/Bit-Llama2-jp-123M-test-1

Bit-Llama2-jp-123M-test-1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HachiML/
Bit-Llama2-jp-123M-test-1