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---
license: mit
datasets:
- unicamp-dl/mmarco
language:
- es
tags:
- colbert
- ColBERT
---
## Training
#### Details
The model is initialized from the [ColBERTv1.0-bert-based-spanish-mmarcoES](https://huggingface.co/AdrienB134/ColBERTv1.0-bert-based-spanish-mmarcoES) checkpoint and trained using the ColBERTv2 style of training.
It was trained on 2 Tesla T4 GPU with 16GBs of memory each with 20k warmup steps warmup using a batch size of 64 and the AdamW optimizer with a constant learning rate of 1e-05.
Total training time was around 48 hours.
#### Data
The model is fine-tuned on the Spanish version of the [mMARCO](https://huggingface.co/datasets/unicamp-dl/mmarco) dataset, a multi-lingual machine-translated version of the MS MARCO dataset.
## Evaluation
The model is evaluated on the smaller development set of mMARCO-es, which consists of 6,980 queries for a corpus of 8.8M candidate passages. We report the mean reciprocal rank (MRR) and recall at various cut-offs (R@k).
| model | Vocab. | #Param. | Size | MRR@10 | R@50 | R@1000 |
|:------------------------------------------------------------------------------------------------------------------------|:--------|--------:|------:|---------:|-------:|--------:|
| **ColBERTv2.0-spanish-mmarcoES** | spanish | 110M | 440MB | **32.86** | **76.46** | **81.06** |
| **ColBERTv1.0-bert-based-spanish-mmarcoES** | spanish | 110M | 440MB | 24.70 | 59,23 | 63.86 | |