rotary_phone

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3598
• Accuracy: 0.645
• Similarity: 0.8220

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 40
• training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Similarity
9.1764	0.18	40	5.3804	0.045	0.5228
4.1865	0.36	80	3.0466	0.14	0.5704
2.4255	0.53	120	2.1597	0.32	0.6594
1.9214	0.71	160	1.8169	0.465	0.7328
1.5591	0.89	200	1.6472	0.56	0.7799
1.3257	1.07	240	2.4620	0.565	0.7816
1.1717	1.25	280	2.2839	0.5	0.7489
1.2336	1.43	320	1.7755	0.57	0.7845
1.2011	1.6	360	1.4749	0.575	0.7868
1.0429	1.78	400	1.3598	0.645	0.8220

Framework versions

• PEFT 0.10.0
• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2