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

Loss: 1.0225

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: constant
lr_scheduler_warmup_steps: 0.03
training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
2.1172	1.54	20	1.9621
1.7921	3.08	40	1.6326
1.468	4.62	60	1.3290
1.2425	6.15	80	1.1762
1.1558	7.69	100	1.1167
1.0912	9.23	120	1.0837
1.0749	10.77	140	1.0632
1.0534	12.31	160	1.0472
1.0213	13.85	180	1.0332
0.9962	15.38	200	1.0225

Framework versions

PEFT 0.7.1
Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Crackerjax2/mistral_instruct_generation

mistral_instruct_generation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Crackerjax2/
mistral_instruct_generation