--- license: mit base_model: microsoft/DialoGPT-large tags: - generated_from_trainer model-index: - name: DialoGPT-large-faqs-block-size-128-bs-16-lr-1e-5 results: [] --- # DialoGPT-large-faqs-block-size-128-bs-16-lr-1e-5 This model is a fine-tuned version of [microsoft/DialoGPT-large](https://huggingface.co/microsoft/DialoGPT-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.4141 ## 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 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 40 | 4.1341 | | No log | 2.0 | 80 | 3.3205 | | No log | 3.0 | 120 | 2.9338 | | No log | 4.0 | 160 | 2.7297 | | No log | 5.0 | 200 | 2.6011 | | No log | 6.0 | 240 | 2.5211 | | No log | 7.0 | 280 | 2.4694 | | No log | 8.0 | 320 | 2.4361 | | No log | 9.0 | 360 | 2.4157 | | No log | 10.0 | 400 | 2.4106 | | No log | 11.0 | 440 | 2.3993 | | No log | 12.0 | 480 | 2.3882 | | 2.5448 | 13.0 | 520 | 2.3927 | | 2.5448 | 14.0 | 560 | 2.3963 | | 2.5448 | 15.0 | 600 | 2.3977 | | 2.5448 | 16.0 | 640 | 2.4073 | | 2.5448 | 17.0 | 680 | 2.4045 | | 2.5448 | 18.0 | 720 | 2.4151 | | 2.5448 | 19.0 | 760 | 2.4156 | | 2.5448 | 20.0 | 800 | 2.4141 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4.dev0 - Tokenizers 0.13.3