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---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-350-bs-16-lr-1e-05
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DialoGPT-large-faqs-block-size-350-bs-16-lr-1e-05
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: 2.5721
## 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 | 15 | 5.5711 |
| No log | 2.0 | 30 | 4.8235 |
| No log | 3.0 | 45 | 4.2941 |
| No log | 4.0 | 60 | 3.8396 |
| No log | 5.0 | 75 | 3.5024 |
| No log | 6.0 | 90 | 3.2479 |
| No log | 7.0 | 105 | 3.0807 |
| No log | 8.0 | 120 | 2.9507 |
| No log | 9.0 | 135 | 2.8704 |
| No log | 10.0 | 150 | 2.8030 |
| No log | 11.0 | 165 | 2.7481 |
| No log | 12.0 | 180 | 2.6972 |
| No log | 13.0 | 195 | 2.6681 |
| No log | 14.0 | 210 | 2.6349 |
| No log | 15.0 | 225 | 2.6192 |
| No log | 16.0 | 240 | 2.5990 |
| No log | 17.0 | 255 | 2.5850 |
| No log | 18.0 | 270 | 2.5767 |
| No log | 19.0 | 285 | 2.5741 |
| No log | 20.0 | 300 | 2.5721 |
### 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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