smutuvi
/

w2v-bert-2.0-swahili-colab-CV16.0_5epochs

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 ---
+license: mit
+base_model: facebook/w2v-bert-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: w2v-bert-2.0-swahili-colab-CV16.0_5epochs
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_0
+      type: common_voice_16_0
+      config: sw
+      split: test
+      args: sw
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.8218669188312941
 ---
+<!-- 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-swahili-colab-CV16.0_5epochs
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: inf
+- Wer: 0.8219
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.015         | 0.16  | 300  | inf             | 0.2387 |
+| 0.2497        | 0.33  | 600  | inf             | 0.2413 |
+| 0.2246        | 0.49  | 900  | inf             | 0.2121 |
+| 0.2032        | 0.66  | 1200 | inf             | 0.2097 |
+| 0.1895        | 0.82  | 1500 | inf             | 0.1969 |
+| 0.1897        | 0.99  | 1800 | inf             | 0.2092 |
+| 0.1718        | 1.15  | 2100 | inf             | 0.1895 |
+| 0.1872        | 1.31  | 2400 | inf             | 0.1949 |
+| 0.2056        | 1.48  | 2700 | inf             | 0.1975 |
+| 0.3533        | 1.64  | 3000 | inf             | 0.4304 |
+| 0.5492        | 1.81  | 3300 | inf             | 0.2979 |
+| 1.0312        | 1.97  | 3600 | inf             | 0.5560 |
+| 0.8936        | 2.14  | 3900 | inf             | 0.8217 |
+| 1.0655        | 2.3   | 4200 | inf             | 0.8219 |
+| 1.0856        | 2.46  | 4500 | inf             | 0.8219 |
+| 1.0855        | 2.63  | 4800 | inf             | 0.8219 |
+| 1.0823        | 2.79  | 5100 | inf             | 0.8219 |
+| 1.0847        | 2.96  | 5400 | inf             | 0.8219 |
+| 1.0835        | 3.12  | 5700 | inf             | 0.8219 |
+| 1.0886        | 3.28  | 6000 | inf             | 0.8219 |
+| 1.0801        | 3.45  | 6300 | inf             | 0.8219 |
+| 1.0765        | 3.61  | 6600 | inf             | 0.8219 |
+| 1.0878        | 3.78  | 6900 | inf             | 0.8219 |
+| 1.0884        | 3.94  | 7200 | inf             | 0.8219 |
+| 1.0824        | 4.11  | 7500 | inf             | 0.8219 |
+| 1.0881        | 4.27  | 7800 | inf             | 0.8219 |
+| 1.0884        | 4.43  | 8100 | inf             | 0.8219 |
+| 1.0786        | 4.6   | 8400 | inf             | 0.8219 |
+| 1.0846        | 4.76  | 8700 | inf             | 0.8219 |
+| 1.0861        | 4.93  | 9000 | inf             | 0.8219 |
+### Framework versions
+- Transformers 4.37.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

runs/Feb20_20-50-51_hades-prod01/events.out.tfevents.1708463094.hades-prod01.2705819.0 CHANGED Viewed

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