mc_cot_16

This model is a fine-tuned version of lmsys/vicuna-7b-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.0303

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.1538	1.0	4	2.1552
1.7905	2.0	8	1.9012
1.4229	3.0	12	1.7686
1.3834	4.0	16	1.7070
1.4421	5.0	20	1.7308
0.9003	6.0	24	1.7646
0.7013	7.0	28	1.9070
0.6291	8.0	32	2.0078
0.3314	9.0	36	2.2682
0.1554	10.0	40	2.3624
0.0814	11.0	44	2.6523
0.0499	12.0	48	2.7565
0.0216	13.0	52	2.8505
0.0197	14.0	56	2.9170
0.0174	15.0	60	2.9433
0.0174	16.0	64	2.9683
0.0145	17.0	68	2.9966
0.013	18.0	72	3.0193
0.0151	19.0	76	3.0277
0.0145	20.0	80	3.0303

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.13.1
• Tokenizers 0.14.1