distilgpt2-finetuned-poet – AI Model by glenn2 | AlphaNeural AI

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glenn2/
distilgpt2-finetuned-poet

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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distilgpt2-finetuned-poet

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.5041

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	156	4.0149
No log	2.0	312	3.7999
No log	3.0	468	3.7235
4.4263	4.0	624	3.6806
4.4263	5.0	780	3.6501
4.4263	6.0	936	3.6179
3.951	7.0	1092	3.6038
3.951	8.0	1248	3.5823
3.951	9.0	1404	3.5644
3.787	10.0	1560	3.5492
3.787	11.0	1716	3.5452
3.787	12.0	1872	3.5312
3.6901	13.0	2028	3.5259
3.6901	14.0	2184	3.5181
3.6901	15.0	2340	3.5108
3.6901	16.0	2496	3.5109
3.6212	17.0	2652	3.5074
3.6212	18.0	2808	3.5043
3.6212	19.0	2964	3.5041
3.5786	20.0	3120	3.5041

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2