metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Randomized_Bert_Stacked_model_80
results: []
Randomized_Bert_Stacked_model_80
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1008
- F1: 0.5836
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: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|
| 1.1133 | 1.0 | 1261 | 1.0897 | 0.5798 |
| 1.0689 | 2.0 | 2522 | 1.0926 | 0.5866 |
| 1.0378 | 3.0 | 3783 | 1.0868 | 0.5856 |
| 1.0111 | 4.0 | 5044 | 1.0854 | 0.5842 |
| 0.9933 | 5.0 | 6305 | 1.1008 | 0.5836 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1