metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ids
results: []
codeparrot-ids
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6494
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
- distributed_type: multi-GPU
- 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: 100
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.26 | 0.09 | 500 | 3.0600 |
| 2.58 | 0.18 | 1000 | 2.4991 |
| 2.3247 | 0.28 | 1500 | 2.2607 |
| 2.1442 | 0.37 | 2000 | 2.0888 |
| 2.0134 | 0.46 | 2500 | 1.9589 |
| 1.9115 | 0.55 | 3000 | 1.8542 |
| 1.8193 | 0.65 | 3500 | 1.7703 |
| 1.7542 | 0.74 | 4000 | 1.7063 |
| 1.7138 | 0.83 | 4500 | 1.6675 |
| 1.6928 | 0.92 | 5000 | 1.6494 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.2