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MCV_Fleurs_Combined_Irish_ASR_normalised
Eimhin03/MCV_Fleurs_Combined_Irish_ASR_normalised
MCV_Fleurs_Combined_Irish_ASR_normalised is a automatic speech recognition model from Eimhin03. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026
- SHA
- cd671028
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
MCV_Fleurs_Combined_Irish_ASR_normalised
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2974
- Wer: 20.3841
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 50000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4442 | 1.1468 | 2000 | 0.5472 | 49.8797 |
| 0.2428 | 2.2936 | 4000 | 0.4101 | 36.6011 |
| 0.1367 | 3.4404 | 6000 | 0.3669 | 33.3066 |
| 0.0835 | 4.5872 | 8000 | 0.3278 | 28.3522 |
| 0.0616 | 5.7339 | 10000 | 0.3123 | 27.4596 |
| 0.0302 | 6.8807 | 12000 | 0.3026 | 24.5763 |
| 0.0070 | 8.0275 | 14000 | 0.3027 | 23.4931 |
| 0.0077 | 9.1743 | 16000 | 0.2871 | 22.1392 |
| 0.0032 | 10.3211 | 18000 | 0.2756 | 21.2015 |
| 0.0093 | 11.4679 | 20000 | 0.2705 | 20.3691 |
| 0.0480 | 12.6147 | 22000 | 0.3576 | 28.8286 |
| 0.0267 | 13.7615 | 24000 | 0.3431 | 27.2891 |
| 0.0342 | 14.9083 | 26000 | 0.3340 | 24.7217 |
| 0.0249 | 16.0550 | 28000 | 0.3439 | 25.7396 |
| 0.0148 | 17.2018 | 30000 | 0.3411 | 24.9524 |
| 0.0133 | 18.3486 | 32000 | 0.3326 | 23.8692 |
| 0.0207 | 19.4954 | 34000 | 0.3181 | 24.0548 |
| 0.0116 | 20.6422 | 36000 | 0.3162 | 22.3548 |
| 0.0072 | 21.7890 | 38000 | 0.3165 | 22.6607 |
| 0.0080 | 22.9358 | 40000 | 0.3259 | 22.4150 |
| 0.0033 | 24.0826 | 42000 | 0.3126 | 21.5675 |
| 0.0036 | 25.2294 | 44000 | 0.3091 | 21.6628 |
| 0.0044 | 26.3761 | 46000 | 0.3015 | 21.2316 |
| 0.0004 | 27.5229 | 48000 | 0.2968 | 20.4042 |
| 0.0038 | 28.6697 | 50000 | 0.2974 | 20.3841 |
Framework versions
- Transformers 5.6.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026