yaml-generator-code-llama

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

• Loss: 2.2591

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: 0.0003
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss
0.2925	20.0	20	1.2292
0.2156	40.0	40	0.9743
0.07	60.0	60	1.4266
0.007	80.0	80	2.0256
0.0041	100.0	100	1.9838
0.0015	120.0	120	2.0320
0.0012	140.0	140	2.0818
0.0012	160.0	160	2.1403
0.0012	180.0	180	2.1771
0.0012	200.0	200	2.1751
0.0012	220.0	220	2.1825
0.0012	240.0	240	2.2240
0.0012	260.0	260	2.2226
0.0012	280.0	280	2.2172
0.0012	300.0	300	2.2235
0.0012	320.0	320	2.2202
0.0012	340.0	340	2.2471
0.0012	360.0	360	2.2475
0.0012	380.0	380	2.2709
0.0012	400.0	400	2.2591

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1