mistral-7B-v0.3-bf16-sharded-finetuned-tpicap-emails

This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the None dataset.

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 200
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0+cu117
• Datasets 2.13.0
• Tokenizers 0.14.1