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wav2vec2_300m
gopikachu/wav2vec2_300m
wav2vec2_300m is a automatic speech recognition model from gopikachu. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 11, 2024
- Updated
- Jun 13, 2024
- SHA
- c18d5870
Base models
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. -->
wav2vec2_300m
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: -1.7265
- Cer: 2.8268
- Wer: 1.0
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| -2.2058 | 16.6667 | 100 | -1.7563 | 2.7979 | 1.0 |
| -2.2553 | 33.3333 | 200 | -1.7904 | 2.8052 | 1.0 |
| -2.3332 | 50.0 | 300 | -1.8135 | 2.8289 | 1.0 |
| -2.3625 | 66.6667 | 400 | -1.7726 | 2.7791 | 1.0 |
| -2.3912 | 83.3333 | 500 | -1.7941 | 2.7467 | 1.0 |
| -2.4162 | 100.0 | 600 | -1.7979 | 2.7745 | 1.0 |
| -2.4141 | 116.6667 | 700 | -1.7517 | 2.7428 | 1.0 |
| -2.4383 | 133.3333 | 800 | -1.8364 | 2.9398 | 1.0 |
| -2.4441 | 150.0 | 900 | -1.7691 | 2.8856 | 1.0 |
| -2.4518 | 166.6667 | 1000 | -1.7509 | 2.7699 | 1.0 |
| -2.4653 | 183.3333 | 1100 | -1.7286 | 2.8175 | 1.0 |
| -2.4651 | 200.0 | 1200 | -1.7521 | 2.7321 | 1.0 |
| -2.4619 | 216.6667 | 1300 | -1.6761 | 2.7655 | 1.0 |
| -2.4649 | 233.3333 | 1400 | -1.6887 | 2.7880 | 1.0 |
| -2.4863 | 250.0 | 1500 | -1.7591 | 2.7745 | 1.0 |
| -2.472 | 266.6667 | 1600 | -1.7198 | 2.7464 | 1.0 |
| -2.477 | 283.3333 | 1700 | -1.7385 | 2.8616 | 1.0 |
| -2.4708 | 300.0 | 1800 | -1.7265 | 2.8268 | 1.0 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 11, 2024
- Updated
- Jun 13, 2024