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: 0.6054

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.8705	1.0	21	0.9399
0.2649	2.0	42	0.5901
0.0873	3.0	63	0.5531
0.0295	4.0	84	0.5929
0.0134	5.0	105	0.6054

Framework versions

Transformers 4.38.2
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2

deadcode99/mistral-7b-finetuned-lime-5-epoch

mistral-7b-finetuned-lime-5-epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

deadcode99/
mistral-7b-finetuned-lime-5-epoch