transformers tensorboard safetensors bloom text-generation generated_from_trainer fr dataset:bigscience-data/roots_fr_wikipedia autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: bloom_french
  results: []
datasets:
- bigscience-data/roots_fr_wikipedia
language:
- fr
---

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# BLOOM | French

## Model description

This is a test model Large Language Model using architecture from BLOOM and dataset from `bigscience-data/roots_fr_wikipedia`.

## Intended uses & limitations

the model can only serve French language.

## Training and evaluation data

Dataset:
- bigscience-data/roots_fr_wikipedia

Training Hardware:
- 2x Tesla T4 GPU from Kaggle

Eval:
- eval_loss: 0.9748
- eval_runtime: 1372.3143
- eval_samples_per_second: 49.825
- eval_steps_per_second: 3.114
- epoch: 0.83
- step: 8000

## Training procedure
Download dataset -> get text only and save to fr.tsv -> train BPE Tokenizer -> training

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0