End of training

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-1b
 tags:
+- automatic-speech-recognition
+- BembaSpeech
 - generated_from_trainer
 metrics:
 - wer
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cicasote/huggingface/runs/w2zut0te)
 # xls-r-1b-bem-msv
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the BEMBASPEECH - BEM dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1348
 - Wer: 0.6038

all_results.json

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+}

eval_results.json

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runs/Aug31_22-32-45_7b977e2c913a/events.out.tfevents.1725150434.7b977e2c913a.28980.1

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+oid sha256:90fa5b06f814c42722deeda99291712eee5a95653f8a16603f05eda85cebc8a4
+size 406

train_results.json

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+}

trainer_state.json

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