README.md

metadata

library_name: transformers
language:
  - mr
base_model: simran14/mr-val-j
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
metrics:
  - wer
model-index:
  - name: simrank14 Whisper small val k
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 17.0
          type: mozilla-foundation/common_voice_17_0
          config: mr
          split: test
          args: mr
        metrics:
          - name: Wer
            type: wer
            value: 1.22517955217575

simrank14 Whisper small val k

This model is a fine-tuned version of simran14/mr-val-j on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2130
• Wer: 1.2252

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-07
• 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: 100
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0631	1.0152	200	0.2135	1.1208
0.062	2.0305	400	0.2191	1.3967
0.0342	3.0457	600	0.2130	1.2252

Framework versions

• Transformers 4.45.0.dev0
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1