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--- |
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language: |
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- ro |
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license: apache-2.0 |
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base_model: iulik-pisik/horoscope_model_base |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- iulik-pisik/audio_vreme |
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metrics: |
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- wer |
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model-index: |
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- name: Horoscope Model Base - finetuned on weather |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Vreme ProTV |
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type: iulik-pisik/audio_vreme |
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config: default |
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split: test |
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args: 'config: ro, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 11.89889025893958 |
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--- |
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# Horoscope Model Base - finetuned on weather |
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This model is a fine-tuned version of [iulik-pisik/horoscope_model_base](https://huggingface.co/iulik-pisik/horoscope_model_base) on the Vreme ProTV dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2407 |
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- Wer: 11.8989 |
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## Model description |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.0227 | 6.02 | 1000 | 0.1744 | 13.2758 | |
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| 0.001 | 12.05 | 2000 | 0.2217 | 12.0222 | |
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| 0.0004 | 18.07 | 3000 | 0.2365 | 11.9194 | |
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| 0.0003 | 24.1 | 4000 | 0.2407 | 11.8989 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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