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End of training
Browse files- README.md +74 -0
- pytorch_model.bin +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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metrics:
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- wer
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model-index:
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- name: wav2vec2-in-hindi
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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-in-hindi
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6122
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- Wer: 1.0343
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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: 50
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- num_epochs: 40
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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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| 6.586 | 3.17 | 100 | 3.4128 | 1.0 |
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| 3.4004 | 6.35 | 200 | 3.3716 | 1.0 |
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| 3.3097 | 9.52 | 300 | 3.0612 | 1.0 |
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| 1.903 | 12.7 | 400 | 0.8674 | 1.0476 |
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| 0.636 | 15.87 | 500 | 0.6154 | 1.0383 |
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| 0.3542 | 19.05 | 600 | 0.6023 | 1.0283 |
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| 0.2611 | 22.22 | 700 | 0.6086 | 1.0283 |
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| 0.2123 | 25.4 | 800 | 0.6135 | 1.0296 |
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| 0.1729 | 28.57 | 900 | 0.6221 | 1.0231 |
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| 0.1543 | 31.75 | 1000 | 0.6063 | 1.0356 |
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| 0.1386 | 34.92 | 1100 | 0.6090 | 1.0258 |
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| 0.1248 | 38.1 | 1200 | 0.6122 | 1.0343 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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