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

Loss: 0.7899

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: 5e-07
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.5125	1.0	32	1.4529
0.9656	2.0	64	0.9357
0.7992	3.0	96	0.8070
0.7865	4.0	128	0.7899

Framework versions

Transformers 4.36.0
Pytorch 2.0.1+cu118
Datasets 2.16.1
Tokenizers 0.15.0

hiiamsid/mixtral_54B_instruct_8k

mixtral_54B_instruct_8k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hiiamsid/
mixtral_54B_instruct_8k