metadata
tags:
- generated_from_trainer
model-index:
- name: RADME_fine_f2
results: []
RADME_fine_f2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3229
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 |
|---|---|---|---|
| 0.3451 | 0.95 | 5000 | 0.3071 |
| 0.3005 | 1.91 | 10000 | 0.2879 |
| 0.2738 | 2.86 | 15000 | 0.2796 |
| 0.2572 | 3.81 | 20000 | 0.2768 |
| 0.2382 | 4.77 | 25000 | 0.2778 |
| 0.2262 | 5.72 | 30000 | 0.2770 |
| 0.2111 | 6.68 | 35000 | 0.2810 |
| 0.199 | 7.63 | 40000 | 0.2881 |
| 0.1896 | 8.58 | 45000 | 0.2940 |
| 0.1799 | 9.54 | 50000 | 0.2986 |
| 0.1702 | 10.49 | 55000 | 0.3054 |
| 0.1631 | 11.44 | 60000 | 0.3095 |
| 0.1555 | 12.4 | 65000 | 0.3157 |
| 0.1503 | 13.35 | 70000 | 0.3199 |
| 0.1478 | 14.3 | 75000 | 0.3229 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3