metadata
tags:
- generated_from_trainer
model-index:
- name: RADME_fine_f4
results: []
RADME_fine_f4
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3141
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: 5e-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
- lr_scheduler_warmup_steps: 3
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3477 | 0.95 | 5000 | 0.3100 |
| 0.3067 | 1.91 | 10000 | 0.2889 |
| 0.2787 | 2.86 | 15000 | 0.2791 |
| 0.2573 | 3.81 | 20000 | 0.2767 |
| 0.2434 | 4.77 | 25000 | 0.2740 |
| 0.2256 | 5.72 | 30000 | 0.2772 |
| 0.2152 | 6.67 | 35000 | 0.2799 |
| 0.2026 | 7.63 | 40000 | 0.2833 |
| 0.1925 | 8.58 | 45000 | 0.2884 |
| 0.1838 | 9.53 | 50000 | 0.2926 |
| 0.1744 | 10.49 | 55000 | 0.2979 |
| 0.1669 | 11.44 | 60000 | 0.3034 |
| 0.1612 | 12.39 | 65000 | 0.3087 |
| 0.1548 | 13.35 | 70000 | 0.3127 |
| 0.1529 | 14.3 | 75000 | 0.3141 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3