santacoder-finetuned-the-stack-bash
This model is a fine-tuned version of bigcode/santacoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8294
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.1 | 1 | 1.6955 |
| No log | 0.2 | 2 | 3.6096 |
| No log | 0.3 | 3 | 1.5787 |
| No log | 0.4 | 4 | 1.8131 |
| No log | 0.5 | 5 | 1.0994 |
| No log | 0.6 | 6 | 1.0921 |
| No log | 0.7 | 7 | 0.9509 |
| No log | 0.8 | 8 | 0.8762 |
| No log | 0.9 | 9 | 0.8375 |
| 1.3831 | 1.0 | 10 | 0.8294 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for GabSo/santacoder-finetuned-the-stack-bash
Base model
bigcode/santacoder