RiverTest/RiverMTG13
This model is a fine-tuned version of RiverTest/RiverMTG13 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.1894
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3271 | 1.0 | 42 | 1.0205 |
| 0.2385 | 2.0 | 84 | 1.1050 |
| 0.0392 | 3.0 | 126 | 1.1894 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for RiverTest/content
Base model
RiverTest/RiverMTG13