metadata
license: openrail
base_model: versae/gzip-bert
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: gzipbert_imdb_rpe
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: plain_text
metrics:
- name: Accuracy
type: accuracy
value: 0.5
gzipbert_imdb_rpe
This model is a fine-tuned version of versae/gzip-bert on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.6932
- Accuracy: 0.5
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6993 | 1.0 | 1563 | 0.6932 | 0.5 |
| 0.6964 | 2.0 | 3126 | 0.6959 | 0.5 |
| 0.6948 | 3.0 | 4689 | 0.6933 | 0.5 |
| 0.6949 | 4.0 | 6252 | 0.6937 | 0.5 |
| 0.6944 | 5.0 | 7815 | 0.6932 | 0.5 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3