1.3 KiB
1.3 KiB
library_name, tags, model-index
| library_name | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|
| transformers |
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nor-eng-baseline-small-test
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5691
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6434 | 1.0 | 6191 | 3.5691 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.4.1+cu121
- Datasets 2.14.7
- Tokenizers 0.21.0