DialoGPT-medium-FinalFantasyDialogue – AI Model by schnabear | AlphaNeural AI

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schnabear/
DialoGPT-medium-FinalFantasyDialogue

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text-generation

generated_from_trainer

microsoft/DialoGPT-medium

autotrain_compatible

text-generation-inference

endpoints_compatible

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DialoGPT-medium-FinalFantasyDialogue

This model is a fine-tuned version of microsoft/DialoGPT-medium on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3830

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: 0.005
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.5572	1.0	282	2.2660
1.9013	2.0	565	1.7536
1.6648	3.0	847	1.5819
1.3933	4.0	1130	1.2777
0.8024	5.0	1413	0.8038
0.5416	6.0	1695	0.5897
0.3418	7.0	1978	0.4679
0.224	8.0	2261	0.4045
0.1648	9.0	2543	0.3789
0.1342	9.98	2820	0.3830

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3