metadata
license: apache-2.0
base_model: Twitter/twhin-bert-large
tags:
- generated_from_trainer
model-index:
- name: working
results: []
working
This model is a fine-tuned version of Twitter/twhin-bert-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0200
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3035 | 1.0 | 150 | 2.2496 |
| 2.295 | 2.0 | 300 | 2.1273 |
| 2.1868 | 3.0 | 450 | 2.1565 |
| 2.1652 | 4.0 | 600 | 2.0774 |
| 2.1227 | 5.0 | 750 | 2.0200 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1