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End of training
Browse files- README.md +87 -0
- model.safetensors +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_17_0
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metrics:
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- wer
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model-index:
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- name: results
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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_17_0
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type: common_voice_17_0
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config: ne-NP
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split: validated+other
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args: ne-NP
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metrics:
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- name: Wer
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type: wer
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value: 0.5865921787709497
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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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# results
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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_17_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7289
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- Wer: 0.5866
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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: 200
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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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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| 1.4919 | 2.9851 | 100 | 1.2236 | 0.9106 |
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| 1.0086 | 5.9701 | 200 | 0.9436 | 0.8291 |
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| 0.6072 | 8.9552 | 300 | 0.8277 | 0.7117 |
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| 0.55 | 11.9403 | 400 | 0.7774 | 0.6726 |
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| 0.3398 | 14.9254 | 500 | 0.7344 | 0.6212 |
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| 0.2543 | 17.9104 | 600 | 0.7368 | 0.6212 |
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| 0.3558 | 20.8955 | 700 | 0.7313 | 0.5788 |
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| 0.1751 | 23.8806 | 800 | 0.7060 | 0.5855 |
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| 0.1502 | 26.8657 | 900 | 0.7289 | 0.5866 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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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 1262078080
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