js-fake-bach-epochs20

juancopi81/js-fake-bach-epochs20

js-fake-bach-epochs20 is a text generation model from juancopi81. 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. --

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Model card

From the Hugging Face model README

js-fake-bach-epochs20

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

Loss: 0.5800
Accuracy: 0.0015

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: 0.0006058454513356471
train_batch_size: 16
eval_batch_size: 32
seed: 1
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2488	1.25	315	0.8243	0.0009
0.8134	2.51	630	0.7738	0.0010
0.7677	3.76	945	0.7396	0.0002
0.7314	5.02	1260	0.7088	0.0006
0.692	6.27	1575	0.6734	0.0009
0.6545	7.53	1890	0.6414	0.0010
0.6175	8.78	2205	0.6071	0.0008
0.5782	10.04	2520	0.5945	0.0017
0.5385	11.29	2835	0.5838	0.0009
0.5026	12.55	3150	0.5722	0.0013
0.4694	13.8	3465	0.5676	0.0011
0.4389	15.06	3780	0.5713	0.0011
0.4083	16.31	4095	0.5761	0.0015
0.389	17.57	4410	0.5790	0.0015
0.3771	18.82	4725	0.5800	0.0015

Framework versions

Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Generation
Library: transformers
Type: gpt2
License: mit
Created: May 12, 2023
Updated: Feb 10, 2025