metadata
base_model: huawei-noah/TinyBERT_General_4L_312D
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: language-modeling-model
results: []
language-modeling-model
This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 2.1154
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 |
---|---|---|---|
5.4319 | 1.0 | 577 | 3.3643 |
3.1995 | 2.0 | 1154 | 2.3525 |
2.5319 | 3.0 | 1731 | 2.1154 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1