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

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