metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_48
results: []
bert_base_48
This model is a fine-tuned version of gokuls/bert_base_24 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.6418
- Accuracy: 0.1663
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: 48
- eval_batch_size: 48
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
6.005 | 0.08 | 10000 | 5.9999 | 0.1513 |
5.9845 | 0.16 | 20000 | 5.9811 | 0.1511 |
5.9695 | 0.25 | 30000 | 5.9673 | 0.1518 |
5.9599 | 0.33 | 40000 | 5.9513 | 0.1515 |
5.9402 | 0.41 | 50000 | 5.9411 | 0.1517 |
5.9291 | 0.49 | 60000 | 5.9217 | 0.1518 |
5.6816 | 0.57 | 70000 | 5.6418 | 0.1663 |
Framework versions
- Transformers 4.30.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3