ultrachat200k_mistral7B_sft_4bit_loraR1_bsp2_lr2e-05_42

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

• Loss: 1.0214

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: 2
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 0.01

Training results

Training Loss	Epoch	Step	Validation Loss
0.9954	0.0100	347	1.0214

Framework versions

• PEFT 0.8.2
• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.16.1
• Tokenizers 0.19.1