starcoder-finetuned-test_newSnippet

jlpan/starcoder-finetuned-test_newSnippet

starcoder-finetuned-test_newSnippet is a machine learning model from jlpan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bigcode-openrail-m.

should probably proofread and complete it, then remove this comment. --

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At a glance

License: bigcode-openrail-m
Access: Public
Created: Aug 21, 2023
Updated: Aug 22, 2023
SHA: 0ae564c1

Base models

bigcode/starcoder

Model card

From the Hugging Face model README

starcoder-finetuned-test_newSnippet

This model is a fine-tuned version of bigcode/starcoder on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1863

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 25
training_steps: 275

Training results

Training Loss	Epoch	Step	Validation Loss
6.5337	0.09	25	0.7416
0.4715	0.18	50	0.2515
0.2329	0.27	75	0.2060
0.2093	0.36	100	0.1973
0.1994	0.45	125	0.1935
0.1836	1.03	150	0.1893
0.1912	1.12	175	0.1877
0.1947	1.21	200	0.1870
0.194	1.3	225	0.1865
0.1908	1.39	250	0.1863
0.1845	1.48	275	0.1863

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

License: bigcode-openrail-m
Created: Aug 21, 2023
Updated: Aug 22, 2023