|
--- |
|
license: mit |
|
base_model: microsoft/DialoGPT-large |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: DialoGPT-large-faqs-block-size-128-bs-16-lr-5e-5 |
|
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-5e-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: 3.3741 |
|
|
|
## 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: 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 | 2.6793 | |
|
| No log | 2.0 | 80 | 2.3038 | |
|
| No log | 3.0 | 120 | 2.2566 | |
|
| No log | 4.0 | 160 | 2.3382 | |
|
| No log | 5.0 | 200 | 2.5499 | |
|
| No log | 6.0 | 240 | 2.6927 | |
|
| No log | 7.0 | 280 | 2.8513 | |
|
| No log | 8.0 | 320 | 2.9774 | |
|
| No log | 9.0 | 360 | 3.0255 | |
|
| No log | 10.0 | 400 | 3.1119 | |
|
| No log | 11.0 | 440 | 3.1643 | |
|
| No log | 12.0 | 480 | 3.2005 | |
|
| 0.9696 | 13.0 | 520 | 3.2673 | |
|
| 0.9696 | 14.0 | 560 | 3.2855 | |
|
| 0.9696 | 15.0 | 600 | 3.3351 | |
|
| 0.9696 | 16.0 | 640 | 3.3462 | |
|
| 0.9696 | 17.0 | 680 | 3.3375 | |
|
| 0.9696 | 18.0 | 720 | 3.3614 | |
|
| 0.9696 | 19.0 | 760 | 3.3648 | |
|
| 0.9696 | 20.0 | 800 | 3.3741 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0.dev0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4.dev0 |
|
- Tokenizers 0.13.3 |
|
|
