metadata
tags:
- generated_from_trainer
model-index:
- name: char-bert-base-uncased
results: []
char-bert-base-uncased
This model is a fine-tuned version of char-bert-base-uncased/checkpoint-1104144 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1941
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8329 | 1.0 | 92012 | 0.4066 |
| 0.4066 | 2.0 | 184024 | 0.3223 |
| 0.3422 | 3.0 | 276036 | 0.2803 |
| 0.3044 | 4.0 | 368048 | 0.2560 |
| 0.2782 | 5.0 | 460060 | 0.2399 |
| 0.2593 | 6.0 | 552072 | 0.2265 |
| 0.2693 | 7.0 | 644084 | 0.2366 |
| 0.2559 | 8.0 | 736096 | 0.2228 |
| 0.2431 | 9.0 | 828108 | 0.2112 |
| 0.2334 | 10.0 | 920120 | 0.2103 |
| 0.2453 | 11.0 | 1012132 | 0.2164 |
| 0.2372 | 12.0 | 1104144 | 0.2113 |
| 0.2288 | 13.0 | 1196156 | 0.2004 |
| 0.2208 | 14.0 | 1288168 | 0.2002 |
| 0.2152 | 15.0 | 1380180 | 0.1941 |
Framework versions
- Transformers 4.18.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.6