---
tags:
- generated_from_trainer
model-index:
- name: starcoderplus-ift-v41
  results: []
---

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# starcoderplus-ift-v41

This model is a fine-tuned version of [bigcode-data/starcoderplus](https://huggingface.co/bigcode-data/starcoderplus) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4720

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5321        | 0.98  | 15   | 1.2856          |
| 1.2071        | 1.97  | 30   | 1.2620          |
| 1.0162        | 2.95  | 45   | 1.2853          |
| 0.8484        | 4.0   | 61   | 1.3274          |
| 0.6981        | 4.98  | 76   | 1.3994          |
| 0.5668        | 5.9   | 90   | 1.4720          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3