movie_title_interpreter
This model is a fine-tuned version of 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
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