Downloads · 30 days
6
2% of all-time downloads
MCV_Fleurs_Combined_Irish_ASR_normalised5
Eimhin03/MCV_Fleurs_Combined_Irish_ASR_normalised5
MCV_Fleurs_Combined_Irish_ASR_normalised5 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. --
All-time downloads
308
Public
Parameters
72.6M
7.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors290 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 7, 2026
- Updated
- Apr 7, 2026
- SHA
- 8e28c38a
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_normalised5
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: 0.2735
- Wer: 18.4736
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.5034 | 2.2936 | 2000 | 0.3801 | 38.0854 |
| 0.2230 | 4.5872 | 4000 | 0.3193 | 31.3860 |
| 0.1550 | 6.8807 | 6000 | 0.3220 | 27.7605 |
| 0.0800 | 9.1743 | 8000 | 0.3311 | 26.9833 |
| 0.0903 | 11.4679 | 10000 | 0.3224 | 26.6974 |
| 0.0713 | 13.7615 | 12000 | 0.3274 | 25.2282 |
| 0.0389 | 16.0550 | 14000 | 0.3338 | 24.5061 |
| 0.0404 | 18.3486 | 16000 | 0.3261 | 24.0548 |
| 0.0406 | 20.6422 | 18000 | 0.3200 | 23.7539 |
| 0.0279 | 22.9358 | 20000 | 0.3197 | 23.9194 |
| 0.0306 | 25.2294 | 22000 | 0.3227 | 23.1923 |
| 0.0383 | 27.5229 | 24000 | 0.3231 | 22.4351 |
| 0.0294 | 29.8165 | 26000 | 0.3076 | 22.2144 |
| 0.0062 | 32.1101 | 28000 | 0.3107 | 21.8985 |
| 0.0309 | 34.4037 | 30000 | 0.3094 | 21.8584 |
| 0.0158 | 36.6972 | 32000 | 0.3083 | 20.2588 |
| 0.0096 | 38.9908 | 34000 | 0.3049 | 20.1885 |
| 0.0091 | 41.2844 | 36000 | 0.3004 | 20.5295 |
| 0.0047 | 43.5780 | 38000 | 0.2948 | 19.8877 |
| 0.0086 | 45.8716 | 40000 | 0.2913 | 19.5016 |
| 0.0123 | 48.1651 | 42000 | 0.2849 | 19.7824 |
| 0.0073 | 50.4587 | 44000 | 0.2840 | 19.1856 |
| 0.0078 | 52.7523 | 46000 | 0.2827 | 19.4564 |
| 0.0061 | 55.0459 | 48000 | 0.2755 | 18.7945 |
| 0.0070 | 57.3394 | 50000 | 0.2735 | 18.4736 |
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 7, 2026
- Updated
- Apr 7, 2026