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ronovy-stranky – AI Model by Mnaukohutka | AlphaNeural AI
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ronovy-stranky
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pytorch
gpt2
generated_from_trainer
mit
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ronovy-stranky
This model is a fine-tuned version of
microsoft/DialoGPT-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.7625
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
5.1167
0.59
100
4.7625
Framework versions
Transformers 4.28.1
Pytorch 2.6.0+cu124
Datasets 2.12.0
Tokenizers 0.13.3
