Model save
Browse files- README.md +78 -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-bem-bl
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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-bem-bl
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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: 0.2403
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- Wer: 0.4353
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10.0
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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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| 0.5344 | 0.7027 | 500 | 0.5448 | 0.7379 |
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| 0.4242 | 1.4055 | 1000 | 0.3055 | 0.6025 |
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| 0.3603 | 2.1082 | 1500 | 0.2693 | 0.5385 |
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| 0.3144 | 2.8110 | 2000 | 0.2683 | 0.5529 |
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| 0.2656 | 3.5137 | 2500 | 0.2472 | 0.5258 |
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| 0.2311 | 4.2164 | 3000 | 0.2352 | 0.5026 |
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| 0.2106 | 4.9192 | 3500 | 0.2327 | 0.5003 |
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| 0.1816 | 5.6219 | 4000 | 0.2298 | 0.4987 |
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| 0.1432 | 6.3247 | 4500 | 0.2178 | 0.4686 |
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| 0.1431 | 7.0274 | 5000 | 0.2172 | 0.4747 |
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| 0.1069 | 7.7301 | 5500 | 0.2136 | 0.4539 |
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| 0.0767 | 8.4329 | 6000 | 0.2270 | 0.4403 |
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| 0.0667 | 9.1356 | 6500 | 0.2375 | 0.4385 |
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| 0.0468 | 9.8384 | 7000 | 0.2403 | 0.4353 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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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 2422941660
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version https://git-lfs.github.com/spec/v1
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oid sha256:0bbccdd01429d5088c639399b3c7ff0d72320daae15949648d911c786512799d
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size 2422941660
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