End of training
Browse files- README.md +67 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq-1
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Kabyle_xlsr-finetuned-tamasheq.en
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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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# Kabyle_xlsr-finetuned-tamasheq.en
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This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq-1](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq-1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3734
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- Wer: 0.7983
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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: 3e-05
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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: 200
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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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| 5.6267 | 7.89 | 300 | 2.8189 | 1.0 |
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| 2.5968 | 15.79 | 600 | 1.4180 | 0.9182 |
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| 0.9228 | 23.68 | 900 | 1.1546 | 0.8575 |
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| 0.5999 | 31.58 | 1200 | 1.1952 | 0.8096 |
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| 0.459 | 39.47 | 1500 | 1.2662 | 0.8068 |
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| 0.3801 | 47.37 | 1800 | 1.3734 | 0.7983 |
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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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version https://git-lfs.github.com/spec/v1
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size 1262028973
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version https://git-lfs.github.com/spec/v1
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size 1262028973
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