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End of training
Browse files- README.md +83 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: wav2vec2-large-xls-r-300m-vi-colab
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_11_0
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type: common_voice_11_0
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config: vi
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split: test
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args: vi
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metrics:
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- name: Wer
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type: wer
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value: 0.629702753098607
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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-xls-r-300m-vi-colab
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5942
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- Wer: 0.6297
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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: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 500
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 7.514 | 4.6 | 400 | 3.3352 | 1.0 |
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| 0.9018 | 9.2 | 800 | 1.4660 | 0.7177 |
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| 0.2284 | 13.79 | 1200 | 1.5156 | 0.6873 |
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| 0.138 | 18.39 | 1600 | 1.5294 | 0.6599 |
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| 0.0959 | 22.99 | 2000 | 1.5876 | 0.6485 |
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| 0.0703 | 27.59 | 2400 | 1.5942 | 0.6297 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.7.dev0
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 1262295978
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