metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilgpt2-disaster-twitter-v2-datacleaning
results: []
distilgpt2-disaster-twitter-v2-datacleaning
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5399
- F1: 0.7925
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5286 | 1.0 | 762 | 0.4634 | 0.7784 |
| 0.3813 | 2.0 | 1524 | 0.5025 | 0.7922 |
| 0.3253 | 3.0 | 2286 | 0.5399 | 0.7925 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2