mistral-7b-v0.2-sft-mix-23rd-mar-v0

This model is a fine-tuned version of unsloth/mistral-7b-v0.2 on the nthakur/deita-10k-v0-instruct, the nthakur/Bactrian-X-23-lang-instruct, the nthakur/GSM8KInstruct-Parallel-instruct and the nthakur/ultrachat-200k-instruct datasets. It achieves the following results on the evaluation set:

• Loss: 0.9631

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: 3e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 3
• total_train_batch_size: 48
• total_eval_batch_size: 48
• 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
0.918	1.0	5170	0.9631

Framework versions

• PEFT 0.7.1
• Transformers 4.39.0.dev0
• Pytorch 2.1.2+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2