End of training
Browse files- README.md +72 -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-ptbr2
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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-ptbr2
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: inf
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- Wer: 0.7379
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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: 0.0003
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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_steps: 20
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- num_epochs: 30
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 24.0954 | 3.64 | 25 | inf | 1.0049 |
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| 9.1013 | 7.16 | 50 | inf | 0.9126 |
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| 4.5420 | 10.8 | 75 | inf | 0.7524 |
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| 2.5565 | 14.32 | 100 | inf | 0.7718 |
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| 1.6594 | 17.96 | 125 | inf | 0.7961 |
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| 0.9546 | 21.48 | 150 | inf | 0.7573 |
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| 0.4813 | 25.0 | 175 | inf | 0.7379 |
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| 0.1315 | 28.64 | 200 | inf | 0.7330 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 3.6.0
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- Tokenizers 0.22.2
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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 2422978560
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version https://git-lfs.github.com/spec/v1
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size 2422978560
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