finetuning3

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: 0.9320

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: 8
• eval_batch_size: 8
• 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	2.7490
2.263	2.0	2	2.2074
1.7792	3.0	3	1.9354
1.5004	4.0	4	1.5883
1.1442	5.0	5	1.3097
0.8134	6.0	6	1.0807
0.5308	7.0	7	0.9568
0.3532	8.0	8	0.9320

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