license, base_model, tags, datasets, model-index

license	base_model	tags	datasets	model-index
apache-2.0	mistralai/Mistral-7B-v0.1	alignment-handbook generated_from_trainer trl sft generated_from_trainer	HuggingFaceH4/cai-conversation-harmless HuggingFaceH4/ultrachat_200k	name results mistral-7b-sft-constitutional-ai

mistral-7b-sft-constitutional-ai

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/cai-conversation-harmless and the HuggingFaceH4/ultrachat_200k datasets. It achieves the following results on the evaluation set:

• Loss: 0.9344

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.9241	1.0	550	0.9344

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.14.6
• Tokenizers 0.15.1