Mistral-7B-v0.1_case-briefs

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: 1.1293

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.1008	0.34	50	1.1495
1.0662	0.68	100	1.1313
1.039	1.02	150	1.1258
1.0173	1.36	200	1.1321
1.0279	1.7	250	1.1293

Framework versions

• PEFT 0.7.1
• Transformers 4.37.2
• Pytorch 2.1.2+cu121
• Datasets 2.17.1
• Tokenizers 0.15.1