---
tags:
- generated_from_trainer
model-index:
- name: starcoder-ift
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# starcoder-ift

This model is a fine-tuned version of [bigcode/large-model](https://huggingface.co/bigcode/large-model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4943

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6668        | 0.99  | 65   | 1.6167          |
| 1.3584        | 2.0   | 131  | 1.5126          |
| 1.0949        | 2.98  | 195  | 1.4943          |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
