DialoGPT-large-faqs-block-size-256-bs-16-lr-1e-05
This model is a fine-tuned version of microsoft/DialoGPT-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4550
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 | 20 | 5.0495 |
No log | 2.0 | 40 | 4.2366 |
No log | 3.0 | 60 | 3.6512 |
No log | 4.0 | 80 | 3.3026 |
No log | 5.0 | 100 | 3.0554 |
No log | 6.0 | 120 | 2.8980 |
No log | 7.0 | 140 | 2.7913 |
No log | 8.0 | 160 | 2.7087 |
No log | 9.0 | 180 | 2.6477 |
No log | 10.0 | 200 | 2.5997 |
No log | 11.0 | 220 | 2.5631 |
No log | 12.0 | 240 | 2.5290 |
No log | 13.0 | 260 | 2.5126 |
No log | 14.0 | 280 | 2.4872 |
No log | 15.0 | 300 | 2.4787 |
No log | 16.0 | 320 | 2.4684 |
No log | 17.0 | 340 | 2.4628 |
No log | 18.0 | 360 | 2.4591 |
No log | 19.0 | 380 | 2.4565 |
No log | 20.0 | 400 | 2.4550 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3
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Model tree for DrishtiSharma/DialoGPT-large-faqs-block-size-256-bs-16-lr-1e-05
Base model
microsoft/DialoGPT-large