File size: 1,975 Bytes
829e301 0d94df4 829e301 0d94df4 829e301 |
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 |
---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_multiple_choice
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_multiple_choice
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5073
- Accuracy: 0.465
## 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: 5e-06
- 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: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5492 | 1.0 | 407 | 1.4459 | 0.455 |
| 1.3622 | 2.0 | 814 | 1.3625 | 0.43 |
| 1.237 | 3.0 | 1221 | 1.3281 | 0.465 |
| 1.1388 | 4.0 | 1628 | 1.3123 | 0.445 |
| 1.0276 | 5.0 | 2035 | 1.2981 | 0.455 |
| 0.9412 | 6.0 | 2442 | 1.3247 | 0.45 |
| 0.8528 | 7.0 | 2849 | 1.3685 | 0.45 |
| 0.7686 | 8.0 | 3256 | 1.4333 | 0.44 |
| 0.6779 | 9.0 | 3663 | 1.4563 | 0.42 |
| 0.6231 | 10.0 | 4070 | 1.5073 | 0.465 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
|