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: 1.0608
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 |
---|---|---|---|
2.5681 | 0.0766 | 5000 | 1.7418 |
1.681 | 0.1533 | 10000 | 1.5234 |
1.5327 | 0.2299 | 15000 | 1.4203 |
1.4537 | 0.3065 | 20000 | 1.3538 |
1.3937 | 0.3832 | 25000 | 1.3036 |
1.3425 | 0.4598 | 30000 | 1.2559 |
1.2967 | 0.5365 | 35000 | 1.2136 |
1.2502 | 0.6131 | 40000 | 1.1694 |
1.2093 | 0.6897 | 45000 | 1.1325 |
1.1715 | 0.7664 | 50000 | 1.0991 |
1.1445 | 0.8430 | 55000 | 1.0757 |
1.1231 | 0.9196 | 60000 | 1.0637 |
1.1157 | 0.9963 | 65000 | 1.0608 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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