metadata
library_name: transformers
license: apache-2.0
base_model: google/electra-base-generator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-base-finetuned-imdb
results: []
electra-base-finetuned-imdb
This model is a fine-tuned version of google/electra-base-generator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- 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: 0.0002
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.0001 | 1.0 | 200 | 0.0001 | 1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1