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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: addison6
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. -->
# addison6
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4278
- Wer: 0.3784
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 4.0707 | 1.03 | 500 | 2.8972 | 0.9998 |
| 1.8869 | 2.05 | 1000 | 1.3286 | 0.6772 |
| 1.218 | 3.08 | 1500 | 1.0999 | 0.5714 |
| 1.0183 | 4.11 | 2000 | 1.0781 | 0.5523 |
| 0.8743 | 5.13 | 2500 | 0.9991 | 0.4951 |
| 0.7561 | 6.16 | 3000 | 1.0861 | 0.4869 |
| 0.6883 | 7.19 | 3500 | 1.1915 | 0.4704 |
| 0.6185 | 8.21 | 4000 | 1.1553 | 0.4634 |
| 0.5761 | 9.24 | 4500 | 1.1144 | 0.4513 |
| 0.5315 | 10.27 | 5000 | 1.1818 | 0.4298 |
| 0.4982 | 11.29 | 5500 | 1.1973 | 0.4329 |
| 0.4719 | 12.32 | 6000 | 1.1456 | 0.4259 |
| 0.4369 | 13.35 | 6500 | 1.1701 | 0.4292 |
| 0.4083 | 14.37 | 7000 | 1.1929 | 0.4132 |
| 0.3886 | 15.4 | 7500 | 1.3307 | 0.4163 |
| 0.3752 | 16.43 | 8000 | 1.3405 | 0.4081 |
| 0.349 | 17.45 | 8500 | 1.3283 | 0.3952 |
| 0.3261 | 18.48 | 9000 | 1.2956 | 0.4128 |
| 0.3094 | 19.51 | 9500 | 1.2671 | 0.4004 |
| 0.3041 | 20.53 | 10000 | 1.3534 | 0.3964 |
| 0.2796 | 21.56 | 10500 | 1.3730 | 0.3899 |
| 0.25 | 22.59 | 11000 | 1.3952 | 0.3942 |
| 0.2303 | 23.61 | 11500 | 1.4792 | 0.3923 |
| 0.2321 | 24.64 | 12000 | 1.4228 | 0.3847 |
| 0.2 | 25.67 | 12500 | 1.4469 | 0.3837 |
| 0.2009 | 26.69 | 13000 | 1.4532 | 0.3820 |
| 0.195 | 27.72 | 13500 | 1.4329 | 0.3821 |
| 0.1804 | 28.75 | 14000 | 1.4265 | 0.3799 |
| 0.1713 | 29.77 | 14500 | 1.4278 | 0.3784 |
### Framework versions
- Transformers 4.17.0
- Pytorch 2.0.0+cu118
- Datasets 1.18.3
- Tokenizers 0.13.2
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