metadata
license: apache-2.0
base_model: google/electra-small-discriminator
tags:
- generated_from_trainer
model-index:
- name: teacher_electra_small
results: []
teacher_electra_small
This model is a fine-tuned version of google/electra-small-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3884
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: 1022
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.8696 | 0.35 | 3000 | 0.5508 |
0.5071 | 0.71 | 6000 | 0.4578 |
0.448 | 1.06 | 9000 | 0.4210 |
0.4084 | 1.41 | 12000 | 0.4109 |
0.3878 | 1.77 | 15000 | 0.3913 |
0.3832 | 2.12 | 18000 | 0.3884 |
0.3529 | 2.47 | 21000 | 0.3900 |
0.3492 | 2.83 | 24000 | 0.3884 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.2