---
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: starcoder-ft-alpaca-es
  results: []
---

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

This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9173

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.96          | 0.27  | 200  | 0.9572          |
| 0.9584        | 0.55  | 400  | 0.9368          |
| 0.9635        | 0.82  | 600  | 0.9173          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3