mixtral_niki_3

This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4987

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: 2.5e-05
• 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
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.5491	0.4348	10	1.5602
1.5241	0.8696	20	1.5438
1.4999	1.3043	30	1.5274
1.4915	1.7391	40	1.5139
1.4987	2.1739	50	1.5043
1.4681	2.6087	60	1.4987

Framework versions

• PEFT 0.11.0
• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1