mistral-hummanize1

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3784

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: 2.5e-05
• train_batch_size: 12
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 12
• total_train_batch_size: 144
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.4936	0.41	50	1.4588
1.434	0.83	100	1.4090
1.4032	1.24	150	1.3872
1.392	1.65	200	1.3784

Framework versions

• PEFT 0.8.2
• Transformers 4.38.0.dev0
• Pytorch 2.2.0
• Datasets 2.17.0
• Tokenizers 0.15.2