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End of training

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README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.5569807597434633
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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
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.5862
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- - Wer: 0.5570
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- - Cer: 0.2802
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  ## Model description
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@@ -62,25 +62,20 @@ The following hyperparameters were used during training:
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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: 20
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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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- | 3.6617 | 1.6495 | 40 | 3.4133 | 0.9941 | 0.8573 |
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- | 3.0704 | 3.2990 | 80 | 3.0021 | 1.0 | 0.9985 |
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- | 2.8663 | 4.9485 | 120 | 2.8530 | 0.9531 | 0.7800 |
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- | 1.995 | 6.5979 | 160 | 1.8117 | 0.9260 | 0.5088 |
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- | 1.3171 | 8.2474 | 200 | 1.3296 | 0.6744 | 0.2939 |
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- | 1.0979 | 9.8969 | 240 | 1.2741 | 0.5787 | 0.2667 |
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- | 0.9623 | 11.5464 | 280 | 1.2679 | 0.5570 | 0.2624 |
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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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