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End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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---
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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: testing_pretrained_niger_mali
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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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# testing_pretrained_niger_mali
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9245
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- Wer: 0.8889
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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: 350
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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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| 6.427 | 35.29 | 300 | 2.9588 | 1.0 |
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| 2.8653 | 70.59 | 600 | 2.7466 | 1.0 |
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| 2.7675 | 105.88 | 900 | 2.7207 | 1.0 |
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| 2.6674 | 141.18 | 1200 | 2.2285 | 1.0 |
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| 1.7813 | 176.47 | 1500 | 1.5717 | 0.8852 |
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| 1.0447 | 211.76 | 1800 | 1.7009 | 0.8778 |
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| 0.8167 | 247.06 | 2100 | 1.8010 | 0.8815 |
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| 0.7059 | 282.35 | 2400 | 1.8748 | 0.8815 |
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| 0.6572 | 317.65 | 2700 | 1.9245 | 0.8889 |
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### Framework versions
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- Transformers 4.33.2
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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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 377674145
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version https://git-lfs.github.com/spec/v1
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oid sha256:168581652cd3fcff2b7b00434855dffa0d809bbba4d59d2c6565ae02d44017b5
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size 377674145
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