Model save
Browse files- README.md +74 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: facebook/w2v-bert-2.0
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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: w2v-bert-2.0-chichewa_34h
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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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# w2v-bert-2.0-chichewa_34h
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4660
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- Wer: 0.3855
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- Cer: 0.1101
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 100000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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| 0.4609 | 5.6197 | 1000 | 0.7327 | 0.6746 | 0.1953 |
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| 0.1207 | 11.2366 | 2000 | 0.4130 | 0.4797 | 0.1341 |
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| 0.1104 | 16.8563 | 3000 | 0.3404 | 0.4165 | 0.1182 |
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| 0.0417 | 22.4732 | 4000 | 0.3389 | 0.4046 | 0.1149 |
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| 0.0849 | 28.0901 | 5000 | 0.3593 | 0.3860 | 0.1110 |
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| 0.0169 | 33.7099 | 6000 | 0.4053 | 0.3799 | 0.1086 |
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| 0.0625 | 39.3268 | 7000 | 0.4394 | 0.3820 | 0.1103 |
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| 0.0226 | 44.9465 | 8000 | 0.4477 | 0.3922 | 0.1099 |
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| 0.0236 | 50.5634 | 9000 | 0.4660 | 0.3855 | 0.1101 |
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### Framework versions
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- Transformers 4.48.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 2423064660
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version https://git-lfs.github.com/spec/v1
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size 2423064660
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