File size: 2,335 Bytes
79b1df6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
license: apache-2.0
base_model: google/electra-small-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-case-16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# electra-case-16
This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3361
- Accuracy: 0.8733
## 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: 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 | 0.7189 | 0.8 |
| No log | 2.0 | 88 | 0.5694 | 0.8467 |
| No log | 3.0 | 132 | 0.4746 | 0.8267 |
| No log | 4.0 | 176 | 0.4302 | 0.82 |
| No log | 5.0 | 220 | 0.3935 | 0.84 |
| No log | 6.0 | 264 | 0.3571 | 0.8467 |
| No log | 7.0 | 308 | 0.3834 | 0.8267 |
| No log | 8.0 | 352 | 0.3352 | 0.8733 |
| No log | 9.0 | 396 | 0.3247 | 0.8733 |
| No log | 10.0 | 440 | 0.3452 | 0.8733 |
| No log | 11.0 | 484 | 0.3792 | 0.8467 |
| 0.3615 | 12.0 | 528 | 0.3583 | 0.8667 |
| 0.3615 | 13.0 | 572 | 0.3551 | 0.86 |
| 0.3615 | 14.0 | 616 | 0.3732 | 0.8533 |
| 0.3615 | 15.0 | 660 | 0.3356 | 0.8733 |
| 0.3615 | 16.0 | 704 | 0.3361 | 0.8733 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
|