End of training

README.md

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+---
+language:
+- multilingual
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- serge-wilson/wolof_speech_transcription
+model-index:
+- name: Wav2Vec2 Base Wolof
+  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. -->
+
+# Wav2Vec2 Base Wolof
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the serge-wilson/wolof_speech_transcription dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2953
+- eval_wer: 0.3067
+- eval_runtime: 153.1594
+- eval_samples_per_second: 14.658
+- eval_steps_per_second: 1.835
+- epoch: 15.23
+- step: 6000
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 30
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.14.5
+- Tokenizers 0.14.0

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