Model save
Browse files- README.md +79 -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_34_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_34_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: 0.4180
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- Wer: 0.4121
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- Cer: 0.1168
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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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| 1.2884 | 1.8458 | 1000 | 1.3872 | 1.0113 | 0.3808 |
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| 0.092 | 3.6907 | 2000 | 0.5229 | 0.5397 | 0.1527 |
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| 0.0604 | 5.5355 | 3000 | 0.4211 | 0.4785 | 0.1347 |
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| 0.2837 | 7.3804 | 4000 | 0.3645 | 0.4376 | 0.1248 |
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| 0.0217 | 9.2253 | 5000 | 0.3404 | 0.4469 | 0.1232 |
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| 0.0299 | 11.0702 | 6000 | 0.3288 | 0.4160 | 0.1173 |
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| 0.0162 | 12.9160 | 7000 | 0.3320 | 0.3983 | 0.1139 |
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| 0.0436 | 14.7608 | 8000 | 0.3125 | 0.3847 | 0.1099 |
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| 0.0205 | 16.6057 | 9000 | 0.3084 | 0.3910 | 0.1126 |
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| 0.0198 | 18.4506 | 10000 | 0.4008 | 0.4002 | 0.1135 |
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| 0.0516 | 20.2955 | 11000 | 0.3086 | 0.3701 | 0.1075 |
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| 0.0057 | 22.1404 | 12000 | 0.3458 | 0.3847 | 0.1114 |
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| 0.0041 | 23.9861 | 13000 | 0.3829 | 0.3899 | 0.1137 |
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| 0.0142 | 25.8310 | 14000 | 0.4180 | 0.4121 | 0.1168 |
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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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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 2423068760
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version https://git-lfs.github.com/spec/v1
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oid sha256:8125b31a918a9f3c505b99f1c2e8278a378a1f036080bc9df758baf728ccacd6
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size 2423068760
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