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dialogpt-nba-finetuned – AI Model by Brichardt | AlphaNeural AI
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Brichardt
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dialogpt-nba-finetuned
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
conversational
microsoft/DialoGPT-small
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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dialogpt-nba-finetuned
This model is a fine-tuned version of
microsoft/DialoGPT-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4548
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: 1
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4433
1.0
141907
0.4548
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
