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runyankore_speech_to_intent_wav2vec_xlsr_4ctc_y
KasuleTrevor/runyankore_speech_to_intent_wav2vec_xlsr_4ctc_y
runyankore_speech_to_intent_wav2vec_xlsr_4ctc_y is a text classification model from KasuleTrevor. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 21, 2024
- Updated
- Aug 21, 2024
- SHA
- a7cdc445
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
runyankore_speech_to_intent_wav2vec_xlsr_4ctc_y
This model is a fine-tuned version of KasuleTrevor/wav2vec2-xls-r-300m-nyn_filtered-yogera-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1061
- Accuracy: 0.9836
- Precision: 0.9844
- Recall: 0.9836
- F1: 0.9837
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 88 | 2.8088 | 0.1079 | 0.0612 | 0.1079 | 0.0243 |
| 2.9251 | 2.0 | 176 | 1.1814 | 0.7678 | 0.7152 | 0.7678 | 0.6989 |
| 1.8751 | 3.0 | 264 | 0.1831 | 0.9593 | 0.9521 | 0.9593 | 0.9535 |
| 0.3395 | 4.0 | 352 | 0.1018 | 0.9796 | 0.9815 | 0.9796 | 0.9799 |
| 0.1352 | 5.0 | 440 | 0.0938 | 0.9817 | 0.9831 | 0.9817 | 0.9818 |
| 0.1077 | 6.0 | 528 | 0.0870 | 0.9837 | 0.9847 | 0.9837 | 0.9838 |
| 0.0884 | 7.0 | 616 | 0.0795 | 0.9776 | 0.9782 | 0.9776 | 0.9775 |
| 0.0752 | 8.0 | 704 | 0.0877 | 0.9817 | 0.9827 | 0.9817 | 0.9817 |
| 0.0752 | 9.0 | 792 | 0.0913 | 0.9776 | 0.9787 | 0.9776 | 0.9777 |
| 0.0503 | 10.0 | 880 | 0.0892 | 0.9796 | 0.9808 | 0.9796 | 0.9797 |
| 0.0437 | 11.0 | 968 | 0.0966 | 0.9796 | 0.9804 | 0.9796 | 0.9797 |
| 0.031 | 12.0 | 1056 | 0.1028 | 0.9776 | 0.9785 | 0.9776 | 0.9777 |
| 0.0346 | 13.0 | 1144 | 0.0991 | 0.9837 | 0.9844 | 0.9837 | 0.9837 |
| 0.0346 | 14.0 | 1232 | 0.1083 | 0.9817 | 0.9823 | 0.9817 | 0.9817 |
| 0.0323 | 15.0 | 1320 | 0.1164 | 0.9837 | 0.9844 | 0.9837 | 0.9837 |
| 0.0221 | 16.0 | 1408 | 0.0977 | 0.9817 | 0.9822 | 0.9817 | 0.9817 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.1.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- wav2vec2
- Created
- Aug 21, 2024
- Updated
- Aug 21, 2024