mistral_instruct_catl

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

• Loss: 0.5602

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.2934	0.1	95	0.8258
0.778	1.1	190	0.7174
0.6852	2.1	285	0.6520
0.6266	3.1	380	0.6013
0.5767	4.1	475	0.5602

Framework versions

• PEFT 0.7.1
• Transformers 4.36.1
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0