---
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: starcoder-ft-alpaca-es-v3
  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-v3

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: 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0117        | 0.27  | 200  | 0.9912          |
| 1.0515        | 0.55  | 400  | 1.0008          |
| 1.0981        | 0.82  | 600  | 1.0197          |
| 657.1807      | 1.1   | 800  | nan             |
| 2927.9309     | 1.37  | 1000 | nan             |
| 409.511       | 1.64  | 1200 | nan             |
| 593.4789      | 1.92  | 1400 | nan             |


### Framework versions

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