metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds-v2
results: []
codeparrot-ds-v2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0617
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: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.5649 | 0.0766 | 5000 | 1.7424 |
1.6811 | 0.1533 | 10000 | 1.5239 |
1.5331 | 0.2299 | 15000 | 1.4213 |
1.4544 | 0.3065 | 20000 | 1.3544 |
1.3946 | 0.3832 | 25000 | 1.3049 |
1.3434 | 0.4598 | 30000 | 1.2571 |
1.2978 | 0.5365 | 35000 | 1.2146 |
1.2515 | 0.6131 | 40000 | 1.1707 |
1.2106 | 0.6897 | 45000 | 1.1335 |
1.1728 | 0.7664 | 50000 | 1.1002 |
1.1457 | 0.8430 | 55000 | 1.0769 |
1.1243 | 0.9196 | 60000 | 1.0646 |
1.1169 | 0.9963 | 65000 | 1.0617 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1