Downloads · 30 days
6
3% of all-time downloads
wav2vec2-finetuned
Rorch/wav2vec2-finetuned
wav2vec2-finetuned is a automatic speech recognition model from Rorch. 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. --
All-time downloads
192
Public
Parameters
315M
18.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Sep 17, 2024
- Updated
- Sep 19, 2024
- SHA
- 6b76e36d
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-finetuned
This model is a fine-tuned version of Osolon/wav2vec2-large-xls-r-300m-pl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.2842
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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2957 | 0.1238 | 400 | inf | 0.2624 |
| 0.2376 | 0.2476 | 800 | inf | 0.2041 |
| 0.1932 | 0.3713 | 1200 | inf | 0.1888 |
| 0.1572 | 0.4951 | 1600 | inf | 0.1530 |
| 0.1587 | 0.6189 | 2000 | inf | 0.1409 |
| 0.3076 | 0.7427 | 2400 | inf | 0.1530 |
| 0.3546 | 0.8665 | 2800 | inf | 0.4019 |
| 0.5404 | 0.9903 | 3200 | inf | 0.4470 |
| 0.46 | 1.1140 | 3600 | inf | 0.4020 |
| 0.3461 | 1.2378 | 4000 | inf | 0.3146 |
| 0.3177 | 1.3616 | 4400 | inf | 0.2379 |
| 0.318 | 1.4854 | 4800 | inf | 0.2700 |
| 0.2998 | 1.6092 | 5200 | inf | 0.2883 |
| 0.3068 | 1.7329 | 5600 | inf | 0.2842 |
| 0.3177 | 1.8567 | 6000 | inf | 0.2842 |
| 0.3098 | 1.9805 | 6400 | inf | 0.2842 |
| 0.3144 | 2.1043 | 6800 | inf | 0.2842 |
| 0.3133 | 2.2281 | 7200 | inf | 0.2842 |
| 0.2993 | 2.3518 | 7600 | inf | 0.2842 |
| 0.3037 | 2.4756 | 8000 | inf | 0.2842 |
| 0.3038 | 2.5994 | 8400 | inf | 0.2842 |
| 0.306 | 2.7232 | 8800 | inf | 0.2842 |
| 0.3239 | 2.8470 | 9200 | inf | 0.2842 |
| 0.2997 | 2.9708 | 9600 | inf | 0.2842 |
| 0.3118 | 3.0945 | 10000 | inf | 0.2842 |
| 0.3125 | 3.2183 | 10400 | inf | 0.2842 |
| 0.3175 | 3.3421 | 10800 | inf | 0.2842 |
| 0.3057 | 3.4659 | 11200 | inf | 0.2842 |
| 0.3053 | 3.5897 | 11600 | inf | 0.2842 |
| 0.3062 | 3.7134 | 12000 | inf | 0.2842 |
| 0.3137 | 3.8372 | 12400 | inf | 0.2842 |
| 0.3069 | 3.9610 | 12800 | inf | 0.2842 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 17, 2024
- Updated
- Sep 19, 2024