llama2_lora_ice2

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.1126

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 100000

Training results

Training Loss	Epoch	Step	Validation Loss
2.3504	0.19	5000	2.3109
2.3206	0.38	10000	2.2213
2.2321	0.57	15000	2.1817
2.1524	0.75	20000	2.1579
2.2333	0.94	25000	2.1455
2.1409	1.13	30000	2.1367
2.1875	1.32	35000	2.1301
2.1823	1.51	40000	2.1254
2.1062	1.7	45000	2.1217
2.1374	1.88	50000	2.1192
2.1645	2.07	55000	2.1174
2.1595	2.26	60000	2.1159
2.1405	2.45	65000	2.1149
2.1585	2.64	70000	2.1139
2.1423	2.83	75000	2.1132
2.1656	3.02	80000	2.1129
2.1159	3.2	85000	2.1128
2.1565	3.39	90000	2.1127
2.115	3.58	95000	2.1126
2.144	3.77	100000	2.1126

Framework versions

• Transformers 4.34.1
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.14.1