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---
license: mit
base_model: microsoft/DialoGPT-large
tags:
- generated_from_trainer
model-index:
- name: DialoGPT-large-faqs-block-size-128-bs-16-lr-1e-05-deepspeed-True
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-128-bs-16-lr-1e-05-deepspeed-True
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: 2.4123
## 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
- distributed_type: multi-GPU
- 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 | 4.2794 |
| No log | 2.0 | 80 | 3.5733 |
| No log | 3.0 | 120 | 3.1236 |
| No log | 4.0 | 160 | 2.8903 |
| No log | 5.0 | 200 | 2.7397 |
| No log | 6.0 | 240 | 2.6359 |
| No log | 7.0 | 280 | 2.5643 |
| No log | 8.0 | 320 | 2.5171 |
| No log | 9.0 | 360 | 2.4800 |
| No log | 10.0 | 400 | 2.4612 |
| No log | 11.0 | 440 | 2.4394 |
| No log | 12.0 | 480 | 2.4236 |
| 2.7705 | 13.0 | 520 | 2.4172 |
| 2.7705 | 14.0 | 560 | 2.4118 |
| 2.7705 | 15.0 | 600 | 2.4087 |
| 2.7705 | 16.0 | 640 | 2.4154 |
| 2.7705 | 17.0 | 680 | 2.4089 |
| 2.7705 | 18.0 | 720 | 2.4139 |
| 2.7705 | 19.0 | 760 | 2.4138 |
| 2.7705 | 20.0 | 800 | 2.4123 |
### 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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