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santacoder-finetuned-robot2
This model is a fine-tuned version of bigcode/santacoder on the dataset datas.csv (généré par gpt3.5-turbo à partir de quelqes exemples). It achieves the following results on the evaluation set:
- Loss: 0.6283
Model description
More information needed
Intended uses & limitations
Ce modèle permet de commander un robot à partir d'instruction en langage naturel.
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 | 1.5944 |
| No log | 0.1 | 2 | 2.2587 |
| No log | 0.15 | 3 | 1.3593 |
| No log | 0.2 | 4 | 1.6304 |
| No log | 0.25 | 5 | 1.3971 |
| No log | 0.3 | 6 | 1.2113 |
| No log | 0.35 | 7 | 0.8876 |
| No log | 0.4 | 8 | 0.9664 |
| No log | 0.45 | 9 | 0.8842 |
| 1.4437 | 0.5 | 10 | 0.7931 |
| 1.4437 | 0.55 | 11 | 0.7410 |
| 1.4437 | 0.6 | 12 | 0.7020 |
| 1.4437 | 0.65 | 13 | 0.6665 |
| 1.4437 | 0.7 | 14 | 0.6705 |
| 1.4437 | 0.75 | 15 | 0.6589 |
| 1.4437 | 0.8 | 16 | 0.6395 |
| 1.4437 | 0.85 | 17 | 0.6358 |
| 1.4437 | 0.9 | 18 | 0.6324 |
| 1.4437 | 0.95 | 19 | 0.6286 |
| 0.5726 | 1.0 | 20 | 0.6283 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
