This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 0.9493

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: 0.0002
train_batch_size: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 64
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.9504	1.0	1089	0.9493

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.15.2

Serega6678/M7Bv01_SFT_50pct_LORA_BF16_FA_2H100

M7Bv01_SFT_50pct_LORA_BF16_FA_2H100

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Serega6678/
M7Bv01_SFT_50pct_LORA_BF16_FA_2H100