GPT2_v5 – AI Model by brad1141 | AlphaNeural AI

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brad1141/
GPT2_v5

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token-classification

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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GPT2_v5

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

Loss: 0.7670
Precision: 0.7725
Recall: 0.8367
F1: 0.4733
Accuracy: 0.7646

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.2212	1.0	1012	0.7874	0.7557	0.7560	0.4041	0.7150
0.7162	2.0	2024	0.7007	0.7495	0.8714	0.4855	0.7647
0.6241	3.0	3036	0.6799	0.7681	0.8532	0.4804	0.7702
0.5545	4.0	4048	0.6997	0.7635	0.8658	0.4814	0.7714
0.4963	5.0	5060	0.7186	0.7696	0.8470	0.4764	0.7669
0.449	6.0	6072	0.7436	0.7711	0.8382	0.4731	0.7644
0.4182	7.0	7084	0.7670	0.7725	0.8367	0.4733	0.7646

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1