fauna-v0.7 / README.md
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metadata
library_name: transformers
language:
  - multilingual
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
  - whisper-event
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Fauna-v0.7 - Rootflo
    results: []

Fauna-v0.7 - Rootflo

This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0558
  • Wer: 60.7190

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-06
  • train_batch_size: 72
  • eval_batch_size: 96
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 576
  • total_eval_batch_size: 384
  • optimizer: Use adamw_bnb_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0301 1.0695 500 0.0498 58.1393
0.0278 2.1390 1000 0.0515 58.0461
0.0261 3.2086 1500 0.0538 59.1088
0.0241 4.2781 2000 0.0558 60.7190

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.0.2
  • Tokenizers 0.20.3