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End of training
Browse files- README.md +61 -0
- pytorch_model.bin +1 -1
README.md
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---
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language:
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- multilingual
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license: apache-2.0
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base_model: facebook/wav2vec2-large
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tags:
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- generated_from_trainer
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datasets:
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- serge-wilson/wolof_speech_transcription
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model-index:
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- name: Wav2Vec2 Large Wolof
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Wav2Vec2 Large Wolof
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This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the serge-wilson/wolof_speech_transcription dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.2516
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- eval_wer: 22.3681
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- eval_runtime: 224.3149
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- eval_samples_per_second: 10.008
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- eval_steps_per_second: 1.253
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- epoch: 13.96
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- step: 5500
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 20
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1262012129
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c398235af726fdcfd4790f4d5a8d5fcfe4b9b4b6ee07a1044a65b3db4b6aa07
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size 1262012129
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