metadata
license: openrail
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-the-stack-clojure
results: []
santacoder-finetuned-the-stack-clojure
This model is a fine-tuned version of bigcode/santacoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0438
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 10000
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.159 | 0.05 | 500 | 1.5544 |
1.4518 | 0.1 | 1000 | 1.3701 |
1.1784 | 0.15 | 1500 | 1.3310 |
1.368 | 0.2 | 2000 | 1.3002 |
1.294 | 0.25 | 2500 | 1.2724 |
0.7621 | 0.3 | 3000 | 1.2797 |
5.814 | 0.35 | 3500 | 1.2319 |
1.2988 | 0.4 | 4000 | 1.2046 |
1.4857 | 0.45 | 4500 | 1.1686 |
1.0061 | 0.5 | 5000 | 1.1491 |
1.0453 | 0.55 | 5500 | 1.1284 |
1.1512 | 0.6 | 6000 | 1.1078 |
1.2116 | 0.65 | 6500 | 1.0932 |
1.153 | 0.7 | 7000 | 1.0755 |
1.1387 | 0.75 | 7500 | 1.0651 |
1.2935 | 0.8 | 8000 | 1.0586 |
0.6611 | 0.85 | 8500 | 1.0494 |
0.0372 | 0.9 | 9000 | 1.0470 |
1.1234 | 0.95 | 9500 | 1.0440 |
1.021 | 1.0 | 10000 | 1.0438 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2