Datasmartly
/

smartly-ai-darija-transcription_1_16

Text Generation

Generated from Trainer

text-generation-inference

Model card Files Files and versions

Metrics Training metrics Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

smartly-ai-darija-transcription_1_16

This model is a fine-tuned version of MBZUAI-Paris/Atlas-Chat-9B on the arrow dataset.

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: 1
eval_batch_size: 8
seed: 3407
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Use adafactor and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training results

Framework versions

Transformers 4.49.0
Pytorch 2.1.0+cu121
Datasets 3.4.1
Tokenizers 0.21.1

Downloads last month: 2

Safetensors

Model size

9.24B params

Tensor type

F16

·

Model tree for Datasmartly/smartly-ai-darija-transcription_1_16

Base model

google/gemma-2-9b

Finetuned

google/gemma-2-9b-it

Finetuned

MBZUAI-Paris/Atlas-Chat-9B

Finetuned

(23)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard