metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- wikitext
model-index:
- name: run_opt
results: []
run_opt
This model is a fine-tuned version of bert-base-uncased on the wikitext dataset. It achieves the following results on the evaluation set:
- Loss: 0.0165
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.562 | 0.55 | 50 | 6.9697 |
| 6.63 | 1.1 | 100 | 6.3436 |
| 5.938 | 1.65 | 150 | 5.1110 |
| 3.0597 | 2.19 | 200 | 1.4150 |
| 0.7989 | 2.74 | 250 | 0.3477 |
| 0.2227 | 3.29 | 300 | 0.1284 |
| 0.0925 | 3.84 | 350 | 0.0640 |
| 0.0475 | 4.39 | 400 | 0.0412 |
| 0.0314 | 4.94 | 450 | 0.0304 |
| 0.0217 | 5.49 | 500 | 0.0246 |
| 0.0181 | 6.04 | 550 | 0.0215 |
| 0.0146 | 6.58 | 600 | 0.0194 |
| 0.0132 | 7.13 | 650 | 0.0182 |
| 0.012 | 7.68 | 700 | 0.0174 |
| 0.0114 | 8.23 | 750 | 0.0169 |
| 0.011 | 8.78 | 800 | 0.0167 |
| 0.0108 | 9.33 | 850 | 0.0166 |
| 0.0106 | 9.88 | 900 | 0.0165 |
Framework versions
- Transformers 4.33.1
- Pytorch 1.12.1
- Datasets 2.14.6
- Tokenizers 0.13.3