End of training
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- pytorch_model.bin +1 -1
README.md
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metrics:
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- name: Wer
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type: wer
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value: 0.
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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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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_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Wer: 0.
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## Model description
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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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### Training results
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| Training Loss | Epoch | Step
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| 2.
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### Framework versions
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- Transformers 4.32.
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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metrics:
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- name: Wer
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type: wer
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value: 0.508994708994709
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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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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_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2344
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- Wer: 0.5090
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## Model description
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- train_batch_size: 8
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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: 16
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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: 35
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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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| 2.8178 | 3.36 | 1000 | 1.0244 | 0.7207 |
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| 0.5674 | 6.72 | 2000 | 0.9848 | 0.6341 |
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| 0.33 | 10.08 | 3000 | 1.0254 | 0.6014 |
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| 0.2362 | 13.45 | 4000 | 1.1387 | 0.5848 |
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| 0.1777 | 16.81 | 5000 | 1.2125 | 0.5783 |
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| 0.1429 | 20.17 | 6000 | 1.1952 | 0.5572 |
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| 0.1076 | 23.53 | 7000 | 1.2492 | 0.5628 |
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| 0.0842 | 26.89 | 8000 | 1.2103 | 0.5410 |
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| 0.0666 | 30.25 | 9000 | 1.2032 | 0.5128 |
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| 0.051 | 33.61 | 10000 | 1.2344 | 0.5090 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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