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DialoGPT_EmpAI_DefPrueba2 – AI Model by LuangMV97 | AlphaNeural AI
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LuangMV97
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DialoGPT_EmpAI_DefPrueba2
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
conversational
microsoft/DialoGPT-medium
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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DialoGPT_EmpAI_DefPrueba2
This model is a fine-tuned version of
microsoft/DialoGPT-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6378
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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.0418
1.0
3867
2.8011
2.6699
2.0
7734
2.6848
2.4795
3.0
11601
2.6461
2.37
4.0
15468
2.6378
2.3415
5.0
19335
2.6409
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2