DialoGPT-small-crd3 – AI Model by cvnberk | AlphaNeural AI

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cvnberk/
DialoGPT-small-crd3

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text-generation

generated_from_trainer

microsoft/DialoGPT-small

text-generation-inference

endpoints_compatible

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DialoGPT-small-crd3

This model is a fine-tuned version of microsoft/DialoGPT-small on the crd3 dataset. It achieves the following results on the evaluation set:

Loss: 1.9150

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss
2.7219	0.41	500	2.5055
2.1998	0.82	1000	2.1320
2.0375	1.23	1500	2.0455
1.9719	1.64	2000	2.0024
1.898	2.05	2500	1.9783
1.8977	2.46	3000	1.9598
1.8336	2.87	3500	1.9467
1.8316	3.28	4000	1.9379
1.7895	3.69	4500	1.9316
1.777	4.11	5000	1.9267
1.7648	4.52	5500	1.9205
1.7478	4.93	6000	1.9181
1.752	5.34	6500	1.9170
1.7284	5.75	7000	1.9158
1.7254	6.16	7500	1.9158
1.7272	6.57	8000	1.9152
1.7252	6.98	8500	1.9150

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3