Test Small FR DnD - Joey Martig

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0796
  • Wer: 74.7059

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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 1.0 7 1.4690 51.0924
No log 2.0 14 1.2158 47.1429
No log 3.0 21 0.9747 43.6975
No log 4.0 28 0.7241 35.2941
No log 5.0 35 0.4766 91.5126
No log 6.0 42 0.3080 97.8151
No log 7.0 49 0.1937 78.2353
No log 8.0 56 0.1173 78.2353
No log 9.0 63 0.0884 73.4454
No log 10.0 70 0.0796 74.7059

Framework versions

  • Transformers 4.43.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
Downloads last month
18
Safetensors
Model size
242M params
Tensor type
F32
·
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 joeyMartig/test-small-dnd-fr

Finetuned
(2099)
this model