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: 0.2727
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: 0.0001
- 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 |
|---|---|---|---|
| 9.1471 | 0.55 | 50 | 7.9703 |
| 7.1714 | 1.1 | 100 | 6.6558 |
| 6.4707 | 1.65 | 150 | 6.2924 |
| 6.072 | 2.19 | 200 | 5.8048 |
| 5.1389 | 2.74 | 250 | 3.8826 |
| 3.1897 | 3.29 | 300 | 2.3133 |
| 1.9697 | 3.84 | 350 | 1.4230 |
| 1.2783 | 4.39 | 400 | 0.9488 |
| 0.8952 | 4.94 | 450 | 0.6810 |
| 0.6593 | 5.49 | 500 | 0.5228 |
| 0.5278 | 6.04 | 550 | 0.4249 |
| 0.4339 | 6.58 | 600 | 0.3630 |
| 0.3809 | 7.13 | 650 | 0.3237 |
| 0.3443 | 7.68 | 700 | 0.2991 |
| 0.3212 | 8.23 | 750 | 0.2843 |
| 0.3094 | 8.78 | 800 | 0.2765 |
| 0.3033 | 9.33 | 850 | 0.2734 |
| 0.3 | 9.88 | 900 | 0.2727 |
Framework versions
- Transformers 4.33.1
- Pytorch 1.12.1
- Datasets 2.14.6
- Tokenizers 0.13.3