End of training
Browse files- README.md +85 -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
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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-tr-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
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type: common_voice
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config: tr
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split: test
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args: tr
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metrics:
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- name: Wer
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type: wer
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value: 0.3005821672964968
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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-tr-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 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3889
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- Wer: 0.3006
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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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| 3.8274 | 3.67 | 400 | 0.6752 | 0.6946 |
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| 0.4002 | 7.34 | 800 | 0.4440 | 0.5183 |
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| 0.1961 | 11.01 | 1200 | 0.4133 | 0.4052 |
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| 0.1285 | 14.68 | 1600 | 0.4249 | 0.3737 |
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| 0.0966 | 18.35 | 2000 | 0.4019 | 0.3606 |
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| 0.0789 | 22.02 | 2400 | 0.4019 | 0.3316 |
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| 0.0599 | 25.69 | 2800 | 0.3996 | 0.3078 |
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| 0.047 | 29.36 | 3200 | 0.3889 | 0.3006 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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size 1262061741
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