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---
license: bigcode-openrail-m
tags:
- generated_from_trainer
base_model: bigcode/starcoderbase-1b
model-index:
- name: v2-starcoderbase1b-personal-copilot-A100-40GB-colab
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. -->
# v2-starcoderbase1b-personal-copilot-A100-40GB-colab
This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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: 2
- 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: 30
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0 | 0.1 | 100 | nan |
| 0.0 | 0.2 | 200 | nan |
| 0.0 | 0.3 | 300 | nan |
| 0.0 | 0.4 | 400 | nan |
| 0.0 | 0.5 | 500 | nan |
| 0.0 | 0.6 | 600 | nan |
| 0.0 | 0.7 | 700 | nan |
| 0.0 | 0.8 | 800 | nan |
| 0.0 | 0.9 | 900 | nan |
| 0.0 | 1.0 | 1000 | nan |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1