codet5p-770m

This model is a fine-tuned version of Salesforce/codet5p-770m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2094

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.159	1.0	340	0.1265
0.0922	2.0	681	0.1226
0.0629	3.0	1021	0.1279
0.0425	4.0	1362	0.1355
0.0284	5.0	1702	0.1428
0.019	6.0	2043	0.1447
0.0128	7.0	2383	0.1607
0.0097	8.0	2724	0.1649
0.0067	9.0	3064	0.1732
0.005	10.0	3405	0.1785
0.0038	11.0	3745	0.1800
0.0029	12.0	4086	0.1860
0.0025	13.0	4426	0.1888
0.002	14.0	4767	0.1891
0.0015	15.0	5107	0.1969
0.0012	16.0	5448	0.1962
0.0008	17.0	5788	0.2010
0.0007	18.0	6129	0.2059
0.0004	19.0	6469	0.2088
0.0004	19.97	6800	0.2094

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.15.2