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---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Helldivers2ASR_V2
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_V2
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: 403.7162
- Wer: 0.1140
## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1549.7986 | 1.0 | 239 | 1010.8287 | 0.4509 |
| 1073.833 | 2.0 | 478 | 847.1273 | 0.3799 |
| 863.4314 | 3.0 | 717 | 669.3406 | 0.3011 |
| 735.351 | 4.0 | 956 | 701.8651 | 0.3046 |
| 646.4708 | 5.0 | 1195 | 516.7015 | 0.2290 |
| 555.7994 | 6.0 | 1434 | 563.6837 | 0.2194 |
| 511.6518 | 7.0 | 1673 | 463.4145 | 0.1902 |
| 442.7085 | 8.0 | 1912 | 473.8917 | 0.1862 |
| 419.5254 | 9.0 | 2151 | 513.1998 | 0.1893 |
| 372.6168 | 10.0 | 2390 | 424.3353 | 0.1622 |
| 321.958 | 11.0 | 2629 | 430.3576 | 0.1550 |
| 321.6388 | 12.0 | 2868 | 422.5235 | 0.1624 |
| 293.641 | 13.0 | 3107 | 359.6511 | 0.1239 |
| 270.1068 | 14.0 | 3346 | 455.4551 | 0.1461 |
| 258.8057 | 15.0 | 3585 | 466.8189 | 0.1465 |
| 256.9584 | 16.0 | 3824 | 402.8066 | 0.1282 |
| 231.2268 | 17.0 | 4063 | 456.3300 | 0.1415 |
| 222.786 | 18.0 | 4302 | 329.8922 | 0.1127 |
| 213.7656 | 19.0 | 4541 | 463.8095 | 0.1426 |
| 188.9466 | 20.0 | 4780 | 337.8596 | 0.1132 |
| 199.4221 | 21.0 | 5019 | 390.5159 | 0.1212 |
| 189.1897 | 22.0 | 5258 | 384.9171 | 0.1190 |
| 182.3199 | 23.0 | 5497 | 375.2046 | 0.1143 |
| 180.674 | 24.0 | 5736 | 426.1663 | 0.1223 |
| 160.5728 | 25.0 | 5975 | 411.1659 | 0.1204 |
| 161.0371 | 26.0 | 6214 | 417.6654 | 0.1158 |
| 169.4026 | 27.0 | 6453 | 412.9657 | 0.1141 |
| 162.3533 | 28.0 | 6692 | 407.0595 | 0.1143 |
| 169.8538 | 29.0 | 6931 | 404.1884 | 0.1143 |
| 187.099 | 30.0 | 7170 | 403.7162 | 0.1140 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.19.1
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