codeparrot-ds

rinkorn/codeparrot-ds

codeparrot-ds is a text generation model from rinkorn. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.

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

Downloads · 30 days

23% of all-time downloads

All-time downloads

Public

Parameters

124M

6.5 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors497 MB · 99%

At a glance

Task: Text Generation
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: Dec 26, 2023
Updated: Dec 27, 2023
SHA: a8659927

Try a prompt

Base models

Model card

From the Hugging Face model README

codeparrot-ds

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0617

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: 0.0005
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: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.567	0.08	5000	1.7410
1.6812	0.15	10000	1.5239
1.5341	0.23	15000	1.4214
1.4552	0.31	20000	1.3572
1.3953	0.38	25000	1.3061
1.3439	0.46	30000	1.2575
1.2981	0.54	35000	1.2142
1.2516	0.61	40000	1.1719
1.2106	0.69	45000	1.1328
1.1728	0.77	50000	1.1007
1.1457	0.84	55000	1.0767
1.1243	0.92	60000	1.0647
1.1169	1.0	65000	1.0617

Framework versions

Transformers 4.36.2
Pytorch 2.1.1+cu121
Datasets 2.16.0
Tokenizers 0.15.0

Task: Text Generation
Library: transformers
Type: gpt2
License: mit
Created: Dec 26, 2023
Updated: Dec 27, 2023