tamasheq-99-2

This model is a fine-tuned version of ad019el/tamasheq-99-2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1325
  • Wer: 0.8412

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 200

Training results

Training Loss Epoch Step Validation Loss Wer
4.2316 4.62 300 2.8431 1.0147
2.0332 9.23 600 1.2104 0.8265
1.307 13.85 900 1.0923 0.8324
1.0941 18.46 1200 1.1327 0.8176
1.016 23.08 1500 1.1560 0.8235
0.9744 27.69 1800 1.1325 0.8412

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month
51
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for ad019el/tamasheq-99-2

Unable to build the model tree, the base model loops to the model itself. Learn more.