End of training
Browse files- README.md +70 -0
- adapter.twi.safetensors +3 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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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-large-mms-1b-twi-colab2
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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-mms-1b-twi-colab2
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4517
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- Wer: 0.4211
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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: 8
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- eval_batch_size: 8
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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: 200
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- num_epochs: 4
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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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| 5.9769 | 0.37 | 200 | 0.7091 | 0.6498 |
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| 0.8277 | 0.73 | 400 | 0.4803 | 0.4690 |
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| 0.7056 | 1.1 | 600 | 0.4752 | 0.4439 |
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| 0.6693 | 1.46 | 800 | 0.4622 | 0.4311 |
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| 0.6416 | 1.83 | 1000 | 0.4563 | 0.4324 |
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| 0.6242 | 2.19 | 1200 | 0.4573 | 0.4268 |
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| 0.6226 | 2.56 | 1400 | 0.4520 | 0.4250 |
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| 0.5858 | 2.93 | 1600 | 0.4537 | 0.4222 |
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| 0.5751 | 3.29 | 1800 | 0.4540 | 0.4227 |
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| 0.5912 | 3.66 | 2000 | 0.4517 | 0.4211 |
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### Framework versions
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- Transformers 4.34.0.dev0
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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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adapter.twi.safetensors
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size 8839532
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pytorch_model.bin
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