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GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM – AI Model by Maximofn | AlphaNeural AI
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Maximofn
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GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
en
Maximofn/short-jokes-dataset
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
This model is a fine-tuned version of
openai-community/gpt2
on
Maximofn/short-jokes-dataset
dataset. It achieves the following results on the evaluation set:
It is the result of the post
Fine tunning SML
Loss: 3.2013
Model description
This model generated english jokes
Intended uses & limitations
Text generation, english jokes
Training and evaluation data
It is training on
Maximofn/short-jokes-dataset
dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 28
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.3866
1.0
7447
3.2590
3.2599
2.0
14894
3.1997
3.2126
3.0
22341
3.1920
Framework versions
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
