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hilaltekgoz
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deneme_mms

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
wav2vec2
hf-asr-leaderboard
Generated from Trainer
Eval Results
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hilaltekgoz commited on
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End of training

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Files changed (3) hide show
  1. README.md +14 -6
  2. model.safetensors +1 -1
  3. runs/Jan04_13-30-55_e3135323d3fa/events.out.tfevents.1704375062.e3135323d3fa.7579.2 +2 -2
README.md CHANGED
@@ -35,7 +35,7 @@ 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-all](https://huggingface.co/facebook/mms-1b-all) on the a dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 16073.9033
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  - Wer: 1.0
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  ## Model description
@@ -62,15 +62,23 @@ 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: 100
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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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- | 287.9504 | 50.0 | 100 | 14710.3984 | 1.0 |
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- | 0.0069 | 100.0 | 200 | 16073.9033 | 1.0 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the a dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 20259.7461
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  - Wer: 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: 1000
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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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+ | 0.0337 | 100.0 | 200 | 20120.1973 | 1.0 |
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+ | 0.0009 | 200.0 | 400 | 20259.8047 | 1.0 |
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+ | 0.0 | 300.0 | 600 | 20229.8105 | 1.0 |
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+ | 0.0 | 400.0 | 800 | 20340.7949 | 1.0 |
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+ | 0.0 | 500.0 | 1000 | 20302.5469 | 1.0 |
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+ | 0.0 | 600.0 | 1200 | 20309.8555 | 1.0 |
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+ | 0.0 | 700.0 | 1400 | 20295.5586 | 1.0 |
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+ | 0.0 | 800.0 | 1600 | 20280.8047 | 1.0 |
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+ | 0.0 | 900.0 | 1800 | 20266.0449 | 1.0 |
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+ | 0.0 | 1000.0 | 2000 | 20259.7461 | 1.0 |
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  ### Framework versions
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