metadata
license: mit
base_model: openai-community/gpt2-large
tags:
- generated_from_trainer
datasets:
- stanfordnlp/snli
metrics:
- accuracy
model-index:
- name: gpt2-large-snli-model3
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: snli
type: stanfordnlp/snli
metrics:
- name: Accuracy
type: accuracy
value: 0.9145498882340988
gpt2-large-snli-model3
This model is a fine-tuned version of openai-community/gpt2-large on the snli dataset. It achieves the following results on the evaluation set:
- Loss: 0.2891
- Accuracy: 0.9145
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: 128
- eval_batch_size: 128
- seed: 87
- 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 | Accuracy |
|---|---|---|---|---|
| 0.3125 | 1.0 | 4292 | 0.2509 | 0.9126 |
| 0.2233 | 2.0 | 8584 | 0.2487 | 0.9143 |
| 0.1424 | 3.0 | 12876 | 0.2891 | 0.9145 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0