gpt2-gpt2-TF-weight0.5-epoch5 – AI Model by GItaf | AlphaNeural AI

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GItaf/
gpt2-gpt2-TF-weight0.5-epoch5

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt2-gpt2-TF-weight0.5-epoch5

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

Loss: 4.4047
Cls loss: 0.8943
Lm loss: 3.9573
Cls Accuracy: 0.8305
Cls F1: 0.8305
Cls Precision: 0.8305
Cls Recall: 0.8305
Perplexity: 52.31

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: 2
eval_batch_size: 2
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	Cls loss	Lm loss	Cls Accuracy	Cls F1	Cls Precision	Cls Recall	Perplexity
4.4891	1.0	3470	4.2525	0.4695	4.0177	0.8046	0.8023	0.8093	0.8046	55.57
4.2708	2.0	6940	4.2621	0.5568	3.9835	0.8398	0.8383	0.8438	0.8398	53.71
4.1614	3.0	10410	4.2509	0.5637	3.9689	0.8444	0.8443	0.8443	0.8444	52.93
4.0683	4.0	13880	4.3454	0.7723	3.9591	0.8282	0.8281	0.8281	0.8282	52.41
4.0036	5.0	17350	4.4047	0.8943	3.9573	0.8305	0.8305	0.8305	0.8305	52.31

Framework versions

Transformers 4.21.2
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1