This model is a fine-tuned version of sanchit-gandhi/Mistral-7B-v0.1-6-layer on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 2.1183

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: 0.0003
train_batch_size: 64
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 512
total_eval_batch_size: 256
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
4.8342	1.0	273	4.7379
3.3301	2.0	546	3.2846
2.4158	3.0	819	2.4134
2.1322	4.0	1092	2.1637
2.0369	5.0	1365	2.1183

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.0

sanchit-gandhi/distil-zephyr-1.5b-ssft

sanchit-gandhi/Mistral-7B-v0.1-6-layer

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sanchit-gandhi/
distil-zephyr-1.5b-ssft