metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: small-mlm-imdb-target-imdb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: train
args: plain_text
metrics:
- name: Accuracy
type: accuracy
value: 0.91736
- name: F1
type: f1
value: 0.9568990695539701
small-mlm-imdb-target-imdb
This model is a fine-tuned version of muhtasham/small-mlm-imdb on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3145
- Accuracy: 0.9174
- F1: 0.9569
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.315 | 0.64 | 500 | 0.1711 | 0.9310 | 0.9642 |
0.2248 | 1.28 | 1000 | 0.1385 | 0.9471 | 0.9728 |
0.1824 | 1.92 | 1500 | 0.1044 | 0.9610 | 0.9801 |
0.1326 | 2.56 | 2000 | 0.2382 | 0.9294 | 0.9634 |
0.1056 | 3.2 | 2500 | 0.5074 | 0.8698 | 0.9304 |
0.0804 | 3.84 | 3000 | 0.3145 | 0.9174 | 0.9569 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2