metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-twitch
results: []
bert-twitch
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8105
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: 2e-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
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5329 | 1.0 | 165 | 5.1209 |
| 1.7499 | 2.0 | 330 | 4.7902 |
| 2.7708 | 3.0 | 495 | 4.9339 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0