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---
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_trainer
model-index:
- name: huggingfacecodebert-base-mlm-finetuned-the-stack-bash
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# huggingfacecodebert-base-mlm-finetuned-the-stack-bash
This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8719
## 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: 100
- training_steps: 10000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.8761 | 0.05 | 500 | 3.0629 |
| 2.3622 | 0.1 | 1000 | 2.5288 |
| 2.5797 | 0.15 | 1500 | 2.3437 |
| 2.7985 | 0.2 | 2000 | 2.1884 |
| 2.6333 | 0.25 | 2500 | 2.1099 |
| 2.2955 | 0.3 | 3000 | 2.0732 |
| 2.4228 | 0.35 | 3500 | 2.0343 |
| 2.3224 | 0.4 | 4000 | 2.0015 |
| 2.1669 | 0.45 | 4500 | 1.9659 |
| 1.98 | 0.5 | 5000 | 1.9458 |
| 2.1847 | 0.55 | 5500 | 1.9258 |
| 2.1145 | 0.6 | 6000 | 1.9235 |
| 2.2392 | 0.65 | 6500 | 1.9019 |
| 2.1206 | 0.7 | 7000 | 1.9106 |
| 2.1796 | 0.75 | 7500 | 1.8852 |
| 2.5239 | 0.8 | 8000 | 1.8781 |
| 1.4346 | 0.85 | 8500 | 1.8754 |
| 2.3741 | 0.9 | 9000 | 1.8704 |
| 1.904 | 0.95 | 9500 | 1.8679 |
| 2.4298 | 1.0 | 10000 | 1.8719 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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