metadata
license: bigcode-openrail-m
base_model: bigcode/santacoder
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-robot4
results: []
santacoder-finetuned-robot4
This model is a fine-tuned version of bigcode/santacoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5116
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 | 1.5720 |
| No log | 0.1 | 2 | 2.6819 |
| No log | 0.15 | 3 | 1.3777 |
| No log | 0.2 | 4 | 1.7661 |
| No log | 0.25 | 5 | 1.0597 |
| No log | 0.3 | 6 | 1.1801 |
| No log | 0.35 | 7 | 0.8989 |
| No log | 0.4 | 8 | 0.9572 |
| No log | 0.45 | 9 | 0.7408 |
| 1.48 | 0.5 | 10 | 0.7517 |
| 1.48 | 0.55 | 11 | 0.6493 |
| 1.48 | 0.6 | 12 | 0.6206 |
| 1.48 | 0.65 | 13 | 0.5872 |
| 1.48 | 0.7 | 14 | 0.5644 |
| 1.48 | 0.75 | 15 | 0.5415 |
| 1.48 | 0.8 | 16 | 0.5298 |
| 1.48 | 0.85 | 17 | 0.5186 |
| 1.48 | 0.9 | 18 | 0.5128 |
| 1.48 | 0.95 | 19 | 0.5120 |
| 0.5307 | 1.0 | 20 | 0.5116 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1