End of training
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README.md
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metrics:
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- name: Wer
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type: wer
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [facebook/mms-1b](https://huggingface.co/facebook/mms-1b) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Wer: 0.
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- Cer: 0.
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## Model description
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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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- num_epochs:
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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 | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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| 3.
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| 1.
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| 0.
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| 0.8367 | 13.1959 | 320 | 1.3316 | 0.5910 | 0.2622 |
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| 0.7728 | 14.8454 | 360 | 1.4157 | 0.5575 | 0.2705 |
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| 0.5491 | 16.4948 | 400 | 1.5152 | 0.5668 | 0.2760 |
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| 0.5494 | 18.1443 | 440 | 1.6297 | 0.5417 | 0.2683 |
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| 0.5065 | 19.7938 | 480 | 1.5862 | 0.5570 | 0.2802 |
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### Framework versions
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metrics:
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- name: Wer
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type: wer
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value: 0.5377405032067094
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [facebook/mms-1b](https://huggingface.co/facebook/mms-1b) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3647
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- Wer: 0.5377
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- Cer: 0.2651
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## Model description
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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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- num_epochs: 13
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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 | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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| 3.4128 | 1.6495 | 40 | 3.2154 | 1.0 | 1.0 |
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| 2.8944 | 3.2990 | 80 | 2.7463 | 0.9896 | 0.9891 |
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| 1.5023 | 4.9485 | 120 | 1.4803 | 0.6971 | 0.3166 |
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| 1.1458 | 6.5979 | 160 | 1.2789 | 0.5580 | 0.2638 |
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| 0.9619 | 8.2474 | 200 | 1.2553 | 0.5639 | 0.2702 |
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| 0.8777 | 9.8969 | 240 | 1.2722 | 0.5215 | 0.2633 |
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| 0.7732 | 11.5464 | 280 | 1.3647 | 0.5377 | 0.2651 |
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### Framework versions
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model.safetensors
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runs/Jun12_11-00-34_300b5fa48101/events.out.tfevents.1718190092.300b5fa48101.347.0
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