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Wikibot-3000 – AI Model by Zagusan | AlphaNeural AI
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Zagusan
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Wikibot-3000
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transformers
pytorch
safetensors
gpt2
text-generation
generated_from_trainer
es
mapama247/wikihow_es
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Wikibot-3000
This model is a fine-tuned version of
gpt2
on the
mapama247/wikihow_es
dataset. It achieves the following results on the evaluation set:
Loss: 2.4600
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: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.1557
1.0
2975
2.8779
2.6515
2.0
5950
2.5434
2.5112
3.0
8925
2.4600
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
