finetuning5

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: 1.2658

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	2.8009
2.3288	2.0	2	2.4102
1.9797	3.0	3	2.1300
1.7025	4.0	4	1.8725
1.4467	5.0	5	1.6254
1.192	6.0	6	1.3799
0.9594	7.0	7	1.3070
0.8349	8.0	8	1.2658

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