End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-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: starrail-gender-classification-multi-3epoch
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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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# starrail-gender-classification-multi-3epoch
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1142
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- Accuracy: 0.9639
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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: 5e-05
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 42
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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_ratio: 0.05
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- num_epochs: 3
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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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| 0.2321 | 0.3650 | 50 | 0.2255 | 0.9434 |
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| 0.1649 | 0.7299 | 100 | 0.1519 | 0.9561 |
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| 0.1516 | 1.0949 | 150 | 0.1245 | 0.9629 |
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| 0.1172 | 1.4599 | 200 | 0.1211 | 0.9629 |
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| 0.1213 | 1.8248 | 250 | 0.1142 | 0.9648 |
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| 0.1143 | 2.1898 | 300 | 0.1144 | 0.9658 |
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| 0.1228 | 2.5547 | 350 | 0.1142 | 0.9639 |
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| 0.1002 | 2.9197 | 400 | 0.1142 | 0.9639 |
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### Framework versions
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- Transformers 4.57.3
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- Pytorch 2.9.0+cu126
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- Datasets 4.4.2
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- Tokenizers 0.22.1
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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 189164276
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version https://git-lfs.github.com/spec/v1
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size 189164276
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