base_model: microsoft/DialoGPT-small | |
library_name: peft | |
license: mit | |
tags: | |
- trl | |
- sft | |
- generated_from_trainer | |
model-index: | |
- name: results | |
results: [] | |
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# results | |
This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co./microsoft/DialoGPT-small) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 3.3632 | |
## 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: 4 | |
- eval_batch_size: 4 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 4.4147 | 1.0 | 1411 | 3.5744 | | |
| 3.9073 | 2.0 | 2822 | 3.4046 | | |
| 3.7894 | 3.0 | 4233 | 3.3632 | | |
### Framework versions | |
- PEFT 0.12.0 | |
- Transformers 4.42.4 | |
- Pytorch 2.1.0+cu121 | |
- Datasets 2.20.0 | |
- Tokenizers 0.19.1 |