finetuningqv1

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0262

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: 20
• eval_batch_size: 20
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
2.688	1.0	1	2.7935
2.3134	2.0	2	2.3100
1.8897	3.0	3	2.0244
1.5882	4.0	4	1.7493
1.3105	5.0	5	1.4693
1.0045	6.0	6	1.2401
0.7371	7.0	7	1.0937
0.5443	8.0	8	1.0262

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.1
• Datasets 2.16.1
• Tokenizers 0.15.1

Training procedure

Framework versions

• PEFT 0.6.0