license: other | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: movie_title_interpreter | |
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. --> | |
# movie_title_interpreter | |
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.1795 | |
## 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: 2e-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: 3.0 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 1.3443 | 1.0 | 2140 | 1.2764 | | |
| 1.2442 | 2.0 | 4280 | 1.2034 | | |
| 1.1918 | 3.0 | 6420 | 1.1795 | | |
### Framework versions | |
- Transformers 4.30.2 | |
- Pytorch 2.0.1+cu118 | |
- Datasets 2.13.1 | |
- Tokenizers 0.13.3 | |