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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base-960h
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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: Helldivers2ASR_V3
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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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# Helldivers2ASR_V3
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 121.7825
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- Wer: 0.0701
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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: 7e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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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: 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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| 989.1626 | 1.0 | 488 | 609.3144 | 0.5319 |
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| 659.4745 | 2.0 | 976 | 441.8672 | 0.3931 |
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| 514.4119 | 3.0 | 1464 | 382.5584 | 0.3219 |
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| 419.7142 | 4.0 | 1952 | 288.8653 | 0.2560 |
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| 341.4243 | 5.0 | 2440 | 281.8234 | 0.2205 |
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| 288.763 | 6.0 | 2928 | 226.5483 | 0.1841 |
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| 253.7379 | 7.0 | 3416 | 226.4153 | 0.1735 |
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| 215.8471 | 8.0 | 3904 | 225.1913 | 0.1611 |
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| 193.4694 | 9.0 | 4392 | 261.5921 | 0.1593 |
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| 171.5698 | 10.0 | 4880 | 162.4843 | 0.1218 |
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| 153.7561 | 11.0 | 5368 | 168.0577 | 0.1202 |
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| 143.2963 | 12.0 | 5856 | 188.0740 | 0.1173 |
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| 128.2614 | 13.0 | 6344 | 146.3703 | 0.0960 |
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| 125.1001 | 14.0 | 6832 | 163.2122 | 0.0936 |
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| 112.3151 | 15.0 | 7320 | 121.7357 | 0.0763 |
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| 105.5073 | 16.0 | 7808 | 133.4259 | 0.0808 |
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| 91.294 | 17.0 | 8296 | 134.9446 | 0.0827 |
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| 94.5096 | 18.0 | 8784 | 109.5260 | 0.0794 |
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| 83.6972 | 19.0 | 9272 | 163.8145 | 0.0909 |
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| 78.8643 | 20.0 | 9760 | 102.4994 | 0.0665 |
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| 72.3876 | 21.0 | 10248 | 102.5806 | 0.0676 |
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| 71.9532 | 22.0 | 10736 | 109.1589 | 0.0666 |
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| 73.799 | 23.0 | 11224 | 114.1257 | 0.0703 |
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| 71.033 | 24.0 | 11712 | 121.2289 | 0.0781 |
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| 66.3356 | 25.0 | 12200 | 109.2525 | 0.0666 |
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| 64.8495 | 26.0 | 12688 | 108.1266 | 0.0657 |
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| 60.262 | 27.0 | 13176 | 120.6045 | 0.0699 |
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| 55.4432 | 28.0 | 13664 | 124.6207 | 0.0716 |
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| 62.6622 | 29.0 | 14152 | 122.5060 | 0.0683 |
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| 58.4588 | 30.0 | 14640 | 121.7825 | 0.0701 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.6.0
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- Tokenizers 0.19.1
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