Mental-Yi-7B-V2

This model is a fine-tuned version of 01-ai/Yi-6B-Chat on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.9559

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: 0.001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.2248	1.48	500	2.9363
2.7215	2.96	1000	2.8738
2.4815	4.44	1500	2.9559

Framework versions

• PEFT 0.10.0
• Transformers 4.39.1
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.1