chain-texts-0.1-dolphin-mixtral-8x7b

This model is a fine-tuned version of cognitivecomputations/dolphin-2.2.1-mistral-7b on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.6571

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: 3
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.8452	0.1887	20	1.8520
1.6519	0.3774	40	1.7660
1.6726	0.5660	60	1.7475
1.6545	0.7547	80	1.7325
1.7688	0.9434	100	1.7146
1.7037	1.1321	120	1.7112
1.5269	1.3208	140	1.6965
1.4638	1.5094	160	1.6875
1.647	1.6981	180	1.6847
1.5333	1.8868	200	1.6772
1.5194	2.0755	220	1.6854
1.5149	2.2642	240	1.6847
1.3981	2.4528	260	1.6653
1.4842	2.6415	280	1.6612
1.4262	2.8302	300	1.6571

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1