metadata
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: my_awesome_model
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: 0.79
- name: F1
type: f1
value: 0.7906976744186048
my_awesome_model
This model is a fine-tuned version of kiddothe2b/longformer-mini-1024 on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.4475
- Accuracy: 0.79
- F1: 0.7907
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.0 | 375 | 0.5384 | 0.7367 | 0.7492 |
0.5846 | 2.0 | 750 | 0.4475 | 0.79 | 0.7907 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3