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Browse files- README.md +71 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: microsoft/wavlm-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: wavlm-base
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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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# wavlm-base
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This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3321
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- Accuracy: 0.8974
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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: 2
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- seed: 0
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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_ratio: 0.1
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3744 | 1.0 | 793 | 0.3307 | 0.8974 |
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| 0.3699 | 2.0 | 1586 | 0.3342 | 0.8974 |
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| 0.2898 | 3.0 | 2379 | 0.3341 | 0.8974 |
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| 0.3126 | 4.0 | 3173 | 0.3363 | 0.8974 |
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| 0.3753 | 5.0 | 3966 | 0.3309 | 0.8974 |
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| 0.3617 | 6.0 | 4759 | 0.3325 | 0.8974 |
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| 0.3453 | 7.0 | 5552 | 0.3315 | 0.8974 |
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| 0.3337 | 8.0 | 6346 | 0.3364 | 0.8974 |
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| 0.2829 | 9.0 | 7139 | 0.3327 | 0.8974 |
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| 0.3189 | 10.0 | 7930 | 0.3321 | 0.8974 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.0.post302
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 378402813
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version https://git-lfs.github.com/spec/v1
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oid sha256:178b880ca8704331ad80cf0013760de30727c62b93c0c3b907dc4e2d8c797877
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size 378402813
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