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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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