santacoder-finetuned-robot3
This model is a fine-tuned version of bigcode/santacoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5689
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.05 | 1 | 1.6250 |
| No log | 0.1 | 2 | 2.1620 |
| No log | 0.15 | 3 | 1.7060 |
| No log | 0.2 | 4 | 1.7167 |
| No log | 0.25 | 5 | 1.0462 |
| No log | 0.3 | 6 | 1.2153 |
| No log | 0.35 | 7 | 1.0301 |
| No log | 0.4 | 8 | 0.9399 |
| No log | 0.45 | 9 | 1.0030 |
| 1.4139 | 0.5 | 10 | 0.8322 |
| 1.4139 | 0.55 | 11 | 0.7111 |
| 1.4139 | 0.6 | 12 | 0.7151 |
| 1.4139 | 0.65 | 13 | 0.6482 |
| 1.4139 | 0.7 | 14 | 0.6228 |
| 1.4139 | 0.75 | 15 | 0.6105 |
| 1.4139 | 0.8 | 16 | 0.5827 |
| 1.4139 | 0.85 | 17 | 0.5791 |
| 1.4139 | 0.9 | 18 | 0.5726 |
| 1.4139 | 0.95 | 19 | 0.5696 |
| 0.5282 | 1.0 | 20 | 0.5689 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for GabSo/santacoder-finetuned-robot3
Base model
bigcode/santacoder