gpt2-finetuned-stationary-update – AI Model by MKS3099 | AlphaNeural AI

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MKS3099/
gpt2-finetuned-stationary-update

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text-classification

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt2-finetuned-stationary-update

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6156
Accuracy: 0.7067
F1: 0.6780

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6691	1.0	38	0.6355	0.6667	0.5333
0.6204	2.0	76	0.6287	0.69	0.6342
0.5971	3.0	114	0.6185	0.6867	0.6287
0.5875	4.0	152	0.6268	0.68	0.5831
0.5494	5.0	190	0.6000	0.6967	0.6420
0.5272	6.0	228	0.6156	0.69	0.6180
0.5026	7.0	266	0.6364	0.6833	0.6201
0.4789	8.0	304	0.6179	0.71	0.6703
0.4742	9.0	342	0.6198	0.7033	0.6693
0.4528	10.0	380	0.6156	0.7067	0.6780

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0