End of training

README.md

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+---
+license: apache-2.0
+base_model: alamsher/wav2vec2-large-xlsr-53-common-voice-sw
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-xlsr-mvc-swahili
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: sw
+      split: test
+      args: sw
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.32237526397075045
+---
+
+<!-- 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. -->
+
+# wav2vec2-large-xlsr-mvc-swahili
+
+This model is a fine-tuned version of [alamsher/wav2vec2-large-xlsr-53-common-voice-sw](https://huggingface.co/alamsher/wav2vec2-large-xlsr-53-common-voice-sw) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: inf
+- Wer: 0.3224
+
+## 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: 0.0003
+- 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 0.17  | 100  | inf             | 1.0    |
+| No log        | 0.34  | 200  | inf             | 1.0    |
+| No log        | 0.5   | 300  | inf             | 0.3420 |
+| 3.3446        | 0.67  | 400  | inf             | 0.3431 |
+| 3.3446        | 0.84  | 500  | inf             | 0.3500 |
+| 3.3446        | 1.01  | 600  | inf             | 0.3433 |
+| 3.3446        | 1.17  | 700  | inf             | 0.3347 |
+| 0.1975        | 1.34  | 800  | inf             | 0.3340 |
+| 0.1975        | 1.51  | 900  | inf             | 0.3307 |
+| 0.1975        | 1.68  | 1000 | inf             | 0.3233 |
+| 0.1975        | 1.84  | 1100 | inf             | 0.3224 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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runs/Nov06_23-24-19_8d905d1e3af6/events.out.tfevents.1699313622.8d905d1e3af6.3490.0

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