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update model card README.md
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README.md
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---
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license: apache-2.0
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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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model-index:
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- name: wav2vec2-large-xls-r-300m-maltese
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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-xls-r-300m-maltese
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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: 0.3001
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- Wer: 0.2789
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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: 7e-05
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- train_batch_size: 32
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- eval_batch_size: 16
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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: 1800
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- num_epochs: 100.0
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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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| 3.0174 | 9.01 | 1000 | 3.0552 | 1.0 |
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| 1.0446 | 18.02 | 2000 | 0.6708 | 0.7577 |
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| 0.7995 | 27.03 | 3000 | 0.4202 | 0.4770 |
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| 0.6978 | 36.04 | 4000 | 0.3054 | 0.3494 |
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| 0.6189 | 45.05 | 5000 | 0.2878 | 0.3154 |
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| 0.5667 | 54.05 | 6000 | 0.3114 | 0.3286 |
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| 0.5173 | 63.06 | 7000 | 0.3085 | 0.3021 |
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| 0.4682 | 72.07 | 8000 | 0.3058 | 0.2969 |
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| 0.451 | 81.08 | 9000 | 0.3146 | 0.2907 |
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| 0.4213 | 90.09 | 10000 | 0.3030 | 0.2881 |
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| 0.4005 | 99.1 | 11000 | 0.3001 | 0.2789 |
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.2.dev0
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- Tokenizers 0.11.0
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