README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: codeparrot-small-custom-functions-dataset-python
    results: []

codeparrot-small-custom-functions-dataset-python

This model is a fine-tuned version of codeparrot/codeparrot-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4934

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: 2e-05
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.2357	0.12	1	0.9450
1.0585	0.25	2	0.8835
0.9853	0.38	3	0.8324
0.9877	0.5	4	0.7932
1.0075	0.62	5	0.7623
0.8744	0.75	6	0.7335
0.8627	0.88	7	0.7091
0.8615	1.0	8	0.6893
0.8016	1.12	9	0.6706
0.7458	1.25	10	0.6540
0.7335	1.38	11	0.6378
0.7754	1.5	12	0.6243
0.7684	1.62	13	0.6107
0.7335	1.75	14	0.5985
0.7418	1.88	15	0.5878
0.5644	2.0	16	0.5792
0.6464	2.12	17	0.5711
0.7304	2.25	18	0.5622
0.6848	2.38	19	0.5545
0.7221	2.5	20	0.5480
0.6053	2.62	21	0.5420
0.6168	2.75	22	0.5370
0.5823	2.88	23	0.5323
0.7512	3.0	24	0.5279
0.5745	3.12	25	0.5241
0.674	3.25	26	0.5202
0.5441	3.38	27	0.5167
0.6236	3.5	28	0.5134
0.6006	3.62	29	0.5102
0.6279	3.75	30	0.5072
0.6257	3.88	31	0.5046
0.5408	4.0	32	0.5025
0.5855	4.12	33	0.5004
0.594	4.25	34	0.4984
0.5985	4.38	35	0.4970
0.6279	4.5	36	0.4958
0.6151	4.62	37	0.4949
0.5629	4.75	38	0.4942
0.5148	4.88	39	0.4937
0.4823	5.0	40	0.4934

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3