trenkert/p2_mistral_7b_instruct

parzivai2_mistral-7b-instruct

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.3-bnb-4bit on the identity, the parzivai1, the parzivai2, the parzivai3, the parzivai4, the parzivai5, the parzivai6 and the parzivai7 datasets.

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• total_eval_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.15
• num_epochs: 2.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.46.1
• Pytorch 2.3.1+cu121
• Datasets 2.16.1
• Tokenizers 0.20.3