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fine_tuned_model

Text Generation
Transformers
Safetensors
gpt2
Generated from Trainer
conversational
text-generation-inference
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fine_tuned_model / README.md
Muhamamd Aun Ali
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metadata
library_name: transformers
license: mit
base_model: microsoft/DialoGPT-small
tags:
  - generated_from_trainer
model-index:
  - name: fine_tuned_model
    results: []

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