End of training

README.md

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+---
+license: apache-2.0
+base_model: AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+model-index:
+- name: finetuning-wav2vec-large-swahili-asr-model_v8
+  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_v8
+
+This model is a fine-tuned version of [AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw](https://huggingface.co/AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3413
+- eval_wer: 0.2759
+- eval_runtime: 715.2087
+- eval_samples_per_second: 15.759
+- eval_steps_per_second: 0.986
+- epoch: 1.11
+- step: 800
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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