Horoscope Model Base - finetuned on weather
This model is a fine-tuned version of iulik-pisik/horoscope_model_small on the Vreme ProTV dataset. It achieves the following results on the evaluation set:
- Loss: 0.1875
- Wer: 8.8779
Model description
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0134 | 5.79 | 1000 | 0.1508 | 9.515 |
| 0.0006 | 11.82 | 2000 | 0.1713 | 9.1862 |
| 0.0001 | 17.39 | 3000 | 0.1875 | 8.8779 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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