metadata
license: openrail
tags:
- generated_from_trainer
model-index:
- name: santacoder-finetuned-the-stack-swift
results: []
santacoder-finetuned-the-stack-swift
This model is a fine-tuned version of bigcode/santacoder on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8353
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 |
---|---|---|---|
1.1132 | 0.05 | 500 | 1.0496 |
1.0077 | 0.1 | 1000 | 1.0245 |
1.0109 | 0.15 | 1500 | 1.0111 |
1.1106 | 0.2 | 2000 | 1.0025 |
0.5083 | 0.25 | 2500 | 1.0163 |
0.2996 | 0.3 | 3000 | 1.0339 |
1.0745 | 0.35 | 3500 | 0.9682 |
1.0355 | 0.4 | 4000 | 0.9467 |
0.9156 | 0.45 | 4500 | 0.9229 |
0.8834 | 0.5 | 5000 | 0.9199 |
0.6363 | 0.55 | 5500 | 0.9048 |
0.8771 | 0.6 | 6000 | 0.8899 |
1.9208 | 0.65 | 6500 | 0.8727 |
0.8816 | 0.7 | 7000 | 0.8633 |
0.8918 | 0.75 | 7500 | 0.8543 |
0.8714 | 0.8 | 8000 | 0.8454 |
0.9486 | 0.85 | 8500 | 0.8402 |
1.0609 | 0.9 | 9000 | 0.8364 |
0.9124 | 0.95 | 9500 | 0.8356 |
0.9743 | 1.0 | 10000 | 0.8353 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2