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MCV_Fleurs_Combined_Irish_ASR_No_Aug2_No_lrscheduler
Eimhin03/MCV_Fleurs_Combined_Irish_ASR_No_Aug2_No_lrscheduler
MCV_Fleurs_Combined_Irish_ASR_No_Aug2_No_lrscheduler 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 8, 2026
- Updated
- Apr 8, 2026
- SHA
- 7e670408
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_No_Aug2_No_lrscheduler
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: 0.3382
- Wer: 29.6059
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: constant
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.3585 | 0.9174 | 200 | 0.5024 | 54.8340 |
| 0.6899 | 1.8349 | 400 | 0.3746 | 32.6697 |
| 0.3285 | 2.7523 | 600 | 0.3440 | 29.9569 |
| 0.1760 | 3.6697 | 800 | 0.3269 | 29.8415 |
| 0.1083 | 4.5872 | 1000 | 0.3276 | 29.1144 |
| 0.0850 | 5.5046 | 1200 | 0.3319 | 28.1767 |
| 0.0673 | 6.4220 | 1400 | 0.3316 | 27.9811 |
| 0.0579 | 7.3394 | 1600 | 0.3311 | 27.6602 |
| 0.0662 | 8.0 | 1744 | 0.3382 | 29.6059 |
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 8, 2026
- Updated
- Apr 8, 2026