This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:

Loss: 2.2224

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 3
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	4	2.3675
No log	2.0	8	2.3372
2.3612	3.0	12	2.3082
2.3612	4.0	16	2.2819
2.296	5.0	20	2.2598
2.296	6.0	24	2.2430
2.296	7.0	28	2.2317
2.2141	8.0	32	2.2254
2.2141	9.0	36	2.2229
2.252	10.0	40	2.2224

Framework versions

PEFT 0.11.1
Transformers 4.43.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1

mirko5301/mistral-7b-instruct-lora-v3.0

mistral-7b-instruct-lora-v3.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mirko5301/
mistral-7b-instruct-lora-v3.0