zilo-instruct-v2-sft-filtered

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

• Loss: 0.4110

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: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 128
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.612	1.0	15	0.5663
0.4089	2.0	30	0.4292
0.3032	3.0	45	0.4110

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1