distilgpt2-finetuned-wikitext2-datos-propios – AI Model by dico97 | AlphaNeural AI

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dico97/
distilgpt2-finetuned-wikitext2-datos-propios

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text-generation

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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dico97/distilgpt2-finetuned-wikitext2-datos-propios

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.1457
Validation Loss: 2.4673
Epoch: 14

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
3.2488	2.9547	0
2.9889	2.8030	1
2.8373	2.7189	2
2.7251	2.6685	3
2.6403	2.6278	4
2.5661	2.6034	5
2.5023	2.5710	6
2.4410	2.5560	7
2.3893	2.5280	8
2.3409	2.5150	9
2.2976	2.5084	10
2.2565	2.4861	11
2.2148	2.4663	12
2.1813	2.4622	13
2.1457	2.4673	14

Framework versions

Transformers 4.28.0
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3