Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/w2v-bert-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: w2v-bert-2.0-hausa_100_400h_yourtts
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# w2v-bert-2.0-hausa_100_400h_yourtts
+
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2975
+- Wer: 0.3578
+- Cer: 0.1963
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 160
+- eval_batch_size: 160
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 320
+- total_eval_batch_size: 320
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 50.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
+| 0.6098        | 0.8764 | 1000 | 0.4685          | 0.4367 | 0.2187 |
+| 0.0454        | 1.7528 | 2000 | 0.3571          | 0.3927 | 0.2063 |
+| 0.1228        | 2.6293 | 3000 | 0.3201          | 0.3700 | 0.2001 |
+| 0.0257        | 3.5057 | 4000 | 0.2908          | 0.3666 | 0.1986 |
+| 0.028         | 4.3821 | 5000 | 0.3164          | 0.3757 | 0.2010 |
+| 0.1503        | 5.2585 | 6000 | 0.2917          | 0.3521 | 0.1955 |
+| 0.0199        | 6.1350 | 7000 | 0.2963          | 0.3565 | 0.1962 |
+| 0.0205        | 7.0114 | 8000 | 0.2909          | 0.3557 | 0.1968 |
+| 0.0232        | 7.8878 | 9000 | 0.2975          | 0.3578 | 0.1963 |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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runs/May30_13-48-03_hausa-synvoices-yourtts/events.out.tfevents.1748613634.hausa-synvoices-yourtts.8542.0

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