End of training

README.md

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+---
+license: apache-2.0
+base_model: Joshua-Abok/finetuning-wav2vec-large-swahili-asr-model_v10
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+model-index:
+- name: finetuning-wav2vec-large-swahili-asr-model_v19
+ 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. -->
+
+# finetuning-wav2vec-large-swahili-asr-model_v19
+
+This model is a fine-tuned version of [Joshua-Abok/finetuning-wav2vec-large-swahili-asr-model_v10](https://huggingface.co/Joshua-Abok/finetuning-wav2vec-large-swahili-asr-model_v10) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3234
+- eval_wer: 0.9985
+- eval_runtime: 63.1279
+- eval_samples_per_second: 7.714
+- eval_steps_per_second: 0.966
+- epoch: 9.73
+- step: 2000
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 40
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.7
+- Tokenizers 0.14.1

model.safetensors

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