metadata
license: bigcode-openrail-m
base_model: bigcode/santacoder
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-robot
results: []
santacoder-finetuned-robot
This model is a fine-tuned version of bigcode/santacoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6328
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 | 1.7303 |
| No log | 0.1 | 2 | 2.2496 |
| No log | 0.15 | 3 | 1.4159 |
| No log | 0.2 | 4 | 1.8682 |
| No log | 0.25 | 5 | 1.1694 |
| No log | 0.3 | 6 | 1.0727 |
| No log | 0.35 | 7 | 1.0604 |
| No log | 0.4 | 8 | 1.0381 |
| No log | 0.45 | 9 | 1.0675 |
| 1.4199 | 0.5 | 10 | 0.7489 |
| 1.4199 | 0.55 | 11 | 0.7854 |
| 1.4199 | 0.6 | 12 | 0.7172 |
| 1.4199 | 0.65 | 13 | 0.6637 |
| 1.4199 | 0.7 | 14 | 0.6807 |
| 1.4199 | 0.75 | 15 | 0.6512 |
| 1.4199 | 0.8 | 16 | 0.6214 |
| 1.4199 | 0.85 | 17 | 0.6348 |
| 1.4199 | 0.9 | 18 | 0.6343 |
| 1.4199 | 0.95 | 19 | 0.6325 |
| 0.4492 | 1.0 | 20 | 0.6328 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3