You can deploy this model and start earning money today!

rwatler/
Mixtral_R2_v0

Name: Mixtral_R2_v0
Availability: InStock

generated_from_trainer

generator

mistralai/Mixtral-8x7B-Instruct-v0.1

adapter

apache-2.0

Views

No views yet

Mixtral_R2_v0

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

Loss: 0.7671

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: 32
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: 25

Training results

Training Loss	Epoch	Step	Validation Loss
3.0101	1.0	18	2.1741
2.1612	2.0	36	1.5962
1.6591	3.0	54	1.4202
1.4985	4.0	72	1.3035
1.3585	5.0	90	1.1977
1.294	6.0	108	1.0993
1.1823	7.0	126	1.0139
1.0983	8.0	144	0.9641
1.0371	9.0	162	0.9293
0.9868	10.0	180	0.8961
0.9535	11.0	198	0.8655
0.9259	12.0	216	0.8358
0.882	13.0	234	0.8067
0.8472	14.0	252	0.7938
0.8484	15.0	270	0.7872
0.8215	16.0	288	0.7826
0.8167	17.0	306	0.7779
0.8199	18.0	324	0.7751
0.8042	19.0	342	0.7730
0.8186	20.0	360	0.7710
0.794	21.0	378	0.7698
0.7958	22.0	396	0.7685
0.7858	23.0	414	0.7677
0.7857	24.0	432	0.7671
0.7843	25.0	450	0.7671

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0

rwatler/Mixtral_R2_v0

Mixtral_R2_v0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rwatler/
Mixtral_R2_v0