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fine_tuned_model – AI Model by Muhammad7865253 | AlphaNeural AI
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fine_tuned_model
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transformers
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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fine_tuned_model
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: 4.3886
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: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use 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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.9946
138
4.3839
No log
1.9964
277
4.3886
No log
2.9838
414
4.3886
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
