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---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: checkpoint-finetuned-stationary-update
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. -->
# checkpoint-finetuned-stationary-update
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: 0.6818
- Accuracy: 0.8067
- F1: 0.8027
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5971 | 1.0 | 38 | 0.5642 | 0.72 | 0.6533 |
| 0.4759 | 2.0 | 76 | 0.4484 | 0.7633 | 0.7670 |
| 0.3768 | 3.0 | 114 | 0.4491 | 0.8033 | 0.7924 |
| 0.2983 | 4.0 | 152 | 0.4333 | 0.82 | 0.8175 |
| 0.2111 | 5.0 | 190 | 0.5193 | 0.8067 | 0.7990 |
| 0.1627 | 6.0 | 228 | 0.5407 | 0.8133 | 0.8101 |
| 0.1285 | 7.0 | 266 | 0.6347 | 0.7933 | 0.7823 |
| 0.0966 | 8.0 | 304 | 0.6961 | 0.8067 | 0.7973 |
| 0.0879 | 9.0 | 342 | 0.6972 | 0.8133 | 0.8042 |
| 0.0673 | 10.0 | 380 | 0.6818 | 0.8067 | 0.8027 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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