---
tags:
- generated_from_trainer
datasets:
- MBZUAI/Bactrian-X
metrics:
- accuracy
model-index:
- name: Mistral-Indo
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: MBZUAI/Bactrian-X id
      type: MBZUAI/Bactrian-X
      args: id
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.2462286333254075
---

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

This model was trained from scratch on the MBZUAI/Bactrian-X id dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4269
- Accuracy: 0.2462

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0

### Training results



### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1