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---
base_model: microsoft/codebert-base
tags:
- generated_from_trainer
model-index:
- name: CBertbase-APPS10k
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. -->
# CBertbase-APPS10k
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4626 | 0.05 | 500 | 0.0390 |
| 0.0215 | 0.1 | 1000 | 0.0065 |
| 0.0096 | 0.15 | 1500 | 0.0018 |
| 0.0022 | 0.2 | 2000 | 0.0009 |
| 0.0023 | 0.25 | 2500 | 0.0003 |
| 0.0011 | 0.3 | 3000 | 0.0004 |
| 0.0011 | 0.35 | 3500 | 0.0002 |
| 0.0016 | 0.4 | 4000 | 0.0002 |
| 0.0006 | 0.45 | 4500 | 0.0001 |
| 0.0004 | 0.5 | 5000 | 0.0001 |
| 0.0002 | 0.55 | 5500 | 0.0001 |
| 0.0002 | 0.6 | 6000 | 0.0001 |
| 0.0003 | 0.65 | 6500 | 0.0001 |
| 0.0001 | 0.7 | 7000 | 0.0001 |
| 0.0001 | 0.75 | 7500 | 0.0001 |
| 0.0001 | 0.8 | 8000 | 0.0001 |
| 0.0001 | 0.85 | 8500 | 0.0001 |
| 0.0001 | 0.9 | 9000 | 0.0001 |
| 0.0001 | 0.95 | 9500 | 0.0001 |
| 0.0001 | 1.0 | 10000 | 0.0001 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|