metadata
license: apache-2.0
base_model: KalaiselvanD/kalai_bert_model_test_2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_bert_7000_32
results: []
model_bert_7000_32
This model is a fine-tuned version of KalaiselvanD/kalai_bert_model_test_2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1032
- Accuracy: 1.0
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: 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 4 | 0.2469 | 1.0 |
| No log | 2.0 | 8 | 0.2295 | 0.9286 |
| No log | 3.0 | 12 | 0.1424 | 1.0 |
| No log | 4.0 | 16 | 0.1172 | 1.0 |
| No log | 5.0 | 20 | 0.1032 | 1.0 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1