metadata
license: apache-2.0
base_model: amr8ta/electra-case-16
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-case-16
results: []
electra-case-16
This model is a fine-tuned version of amr8ta/electra-case-16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3250
- Accuracy: 0.9
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: 1.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 224
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 44 | 0.3311 | 0.8733 |
No log | 2.0 | 88 | 0.3448 | 0.8667 |
No log | 3.0 | 132 | 0.3250 | 0.9 |
No log | 4.0 | 176 | 0.3456 | 0.9 |
No log | 5.0 | 220 | 0.3695 | 0.9067 |
No log | 6.0 | 264 | 0.4012 | 0.8933 |
No log | 7.0 | 308 | 0.3983 | 0.8933 |
No log | 8.0 | 352 | 0.4132 | 0.8933 |
No log | 9.0 | 396 | 0.4336 | 0.9067 |
No log | 10.0 | 440 | 0.4263 | 0.8933 |
No log | 11.0 | 484 | 0.4124 | 0.9 |
0.0318 | 12.0 | 528 | 0.4278 | 0.8933 |
0.0318 | 13.0 | 572 | 0.4593 | 0.8933 |
0.0318 | 14.0 | 616 | 0.4477 | 0.8933 |
0.0318 | 15.0 | 660 | 0.4505 | 0.8933 |
0.0318 | 16.0 | 704 | 0.4525 | 0.8933 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0