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---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Helldivers2ASR_V3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Helldivers2ASR_V3
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 121.7825
- Wer: 0.0701
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 7e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 989.1626 | 1.0 | 488 | 609.3144 | 0.5319 |
| 659.4745 | 2.0 | 976 | 441.8672 | 0.3931 |
| 514.4119 | 3.0 | 1464 | 382.5584 | 0.3219 |
| 419.7142 | 4.0 | 1952 | 288.8653 | 0.2560 |
| 341.4243 | 5.0 | 2440 | 281.8234 | 0.2205 |
| 288.763 | 6.0 | 2928 | 226.5483 | 0.1841 |
| 253.7379 | 7.0 | 3416 | 226.4153 | 0.1735 |
| 215.8471 | 8.0 | 3904 | 225.1913 | 0.1611 |
| 193.4694 | 9.0 | 4392 | 261.5921 | 0.1593 |
| 171.5698 | 10.0 | 4880 | 162.4843 | 0.1218 |
| 153.7561 | 11.0 | 5368 | 168.0577 | 0.1202 |
| 143.2963 | 12.0 | 5856 | 188.0740 | 0.1173 |
| 128.2614 | 13.0 | 6344 | 146.3703 | 0.0960 |
| 125.1001 | 14.0 | 6832 | 163.2122 | 0.0936 |
| 112.3151 | 15.0 | 7320 | 121.7357 | 0.0763 |
| 105.5073 | 16.0 | 7808 | 133.4259 | 0.0808 |
| 91.294 | 17.0 | 8296 | 134.9446 | 0.0827 |
| 94.5096 | 18.0 | 8784 | 109.5260 | 0.0794 |
| 83.6972 | 19.0 | 9272 | 163.8145 | 0.0909 |
| 78.8643 | 20.0 | 9760 | 102.4994 | 0.0665 |
| 72.3876 | 21.0 | 10248 | 102.5806 | 0.0676 |
| 71.9532 | 22.0 | 10736 | 109.1589 | 0.0666 |
| 73.799 | 23.0 | 11224 | 114.1257 | 0.0703 |
| 71.033 | 24.0 | 11712 | 121.2289 | 0.0781 |
| 66.3356 | 25.0 | 12200 | 109.2525 | 0.0666 |
| 64.8495 | 26.0 | 12688 | 108.1266 | 0.0657 |
| 60.262 | 27.0 | 13176 | 120.6045 | 0.0699 |
| 55.4432 | 28.0 | 13664 | 124.6207 | 0.0716 |
| 62.6622 | 29.0 | 14152 | 122.5060 | 0.0683 |
| 58.4588 | 30.0 | 14640 | 121.7825 | 0.0701 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.19.1
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