metadata
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_trainer
model-index:
- name: CBertbase-mlm-APPS10k
results: []
CBertbase-mlm-APPS10k
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0911
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 2.1352 | 0.05 | 500 | 1.8774 |
| 1.1754 | 0.1 | 1000 | 1.4835 |
| 1.4127 | 0.15 | 1500 | 1.4475 |
| 1.0497 | 0.2 | 2000 | 1.3342 |
| 1.0403 | 0.25 | 2500 | 1.2589 |
| 1.0754 | 0.3 | 3000 | 1.2174 |
| 0.8836 | 0.35 | 3500 | 1.2265 |
| 0.95 | 0.4 | 4000 | 1.1931 |
| 1.0324 | 0.45 | 4500 | 1.1729 |
| 1.0296 | 0.5 | 5000 | 1.1462 |
| 0.886 | 0.55 | 5500 | 1.1364 |
| 0.9352 | 0.6 | 6000 | 1.1201 |
| 1.0547 | 0.65 | 6500 | 1.1481 |
| 0.8277 | 0.7 | 7000 | 1.1128 |
| 0.8685 | 0.75 | 7500 | 1.1153 |
| 0.9277 | 0.8 | 8000 | 1.1194 |
| 0.8111 | 0.85 | 8500 | 1.0975 |
| 0.9345 | 0.9 | 9000 | 1.0913 |
| 0.9166 | 0.95 | 9500 | 1.0904 |
| 0.952 | 1.0 | 10000 | 1.0911 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2