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metadata
license: apache-2.0
base_model: nadsoft/hamsa-v0.3-qasr
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: hamsa-qasr-meetings
    results: []

hamsa-qasr-meetings

This model is a fine-tuned version of nadsoft/hamsa-v0.3-qasr on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6818
  • Wer: 51.3480

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: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.9407 1.0 76 1.6946 67.4632
1.114 2.0 152 0.9839 52.0527
0.6002 3.0 228 0.6818 51.3480

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0