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malayalam_combined_Conversation
asr-malayalam/malayalam_combined_Conversation
malayalam_combined_Conversation is a machine learning model from asr-malayalam. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- Aug 20, 2024
- Updated
- Aug 21, 2024
- SHA
- 34ea21ad
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. -->
malayalam_combined_Conversation
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9570
- Wer: 0.6223
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: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.3673 | 0.6177 | 500 | 1.3771 | 0.7996 |
| 1.1485 | 1.2353 | 1000 | 1.2069 | 0.7644 |
| 1.0712 | 1.8530 | 1500 | 1.1157 | 0.7296 |
| 1.0101 | 2.4707 | 2000 | 1.0969 | 0.7344 |
| 0.9326 | 3.0883 | 2500 | 1.0566 | 0.6889 |
| 0.8723 | 3.7060 | 3000 | 1.0339 | 0.6861 |
| 0.8198 | 4.3237 | 3500 | 1.0028 | 0.6830 |
| 0.8092 | 4.9413 | 4000 | 1.0108 | 0.6681 |
| 0.7574 | 5.5590 | 4500 | 1.0049 | 0.6676 |
| 0.7027 | 6.1767 | 5000 | 0.9725 | 0.6660 |
| 0.6981 | 6.7943 | 5500 | 0.9649 | 0.6653 |
| 0.6684 | 7.4120 | 6000 | 0.9500 | 0.6393 |
| 0.6295 | 8.0296 | 6500 | 0.9535 | 0.6364 |
| 0.5947 | 8.6473 | 7000 | 0.9522 | 0.6338 |
| 0.5483 | 9.2650 | 7500 | 0.9821 | 0.6262 |
| 0.5437 | 9.8826 | 8000 | 0.9570 | 0.6223 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 1.14.0a0+44dac51
- Datasets 2.16.1
- Tokenizers 0.19.1
- Type
- wav2vec2-bert
- License
- mit
- Created
- Aug 20, 2024
- Updated
- Aug 21, 2024