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vreme_horoscop_base
iulik-pisik/vreme_horoscop_base
vreme_horoscop_base is a automatic speech recognition model from iulik-pisik. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Mar 28, 2024
- Updated
- Apr 3, 2024
- SHA
- 66304af0
Base models
Datasets
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. -->
Vreme Model base - finetuned on horoscope
This model is a fine-tuned version of iulik-pisik/vreme_model_base on the Horoscop Neti Sandu dataset. It achieves the following results on the evaluation set:
- Loss: 0.3471
- Wer: 17.6685
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: 16
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0111 | 9.71 | 1000 | 0.2991 | 18.3986 |
| 0.001 | 19.42 | 2000 | 0.3298 | 17.9119 |
| 0.0006 | 29.13 | 3000 | 0.3422 | 17.4252 |
| 0.0005 | 38.83 | 4000 | 0.3471 | 17.6685 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- ro
- Created
- Mar 28, 2024
- Updated
- Apr 3, 2024