jmainz commited on
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End of training

Browse files
README.md CHANGED
@@ -3,6 +3,8 @@ license: cc-by-nc-4.0
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  base_model: facebook/mms-1b-l1107
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: wav2vec2-mms-1b-l1107-mus-asr-10m
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  results: []
@@ -14,6 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-mms-1b-l1107-mus-asr-10m
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  This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on an unknown dataset.
 
 
 
 
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  ## Model description
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@@ -41,10 +47,14 @@ 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: 100
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- - num_epochs: 4
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  ### Training results
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  ### Framework versions
 
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  base_model: facebook/mms-1b-l1107
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: wav2vec2-mms-1b-l1107-mus-asr-10m
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  results: []
 
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  # wav2vec2-mms-1b-l1107-mus-asr-10m
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  This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.9032
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+ - Wer: 1.0
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+ - Cer: 1.0
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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: 100
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+ - num_epochs: 8
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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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+ | No log | 2.9630 | 20 | 17.7141 | 1.0 | 0.9311 |
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+ | No log | 5.9259 | 40 | 3.9032 | 1.0 | 1.0 |
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  ### Framework versions
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