metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
results: []
codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.8844
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
9.4802 | 0.09 | 10 | 8.0848 |
7.1562 | 0.18 | 20 | 7.0980 |
6.7304 | 0.27 | 30 | 6.8591 |
6.4473 | 0.36 | 40 | 6.5896 |
6.1701 | 0.45 | 50 | 6.3632 |
5.9031 | 0.54 | 60 | 6.1809 |
5.7632 | 0.64 | 70 | 6.0362 |
5.6136 | 0.73 | 80 | 5.9606 |
5.5312 | 0.82 | 90 | 5.9088 |
5.5063 | 0.91 | 100 | 5.8893 |
5.4845 | 1.0 | 110 | 5.8844 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2