File size: 3,777 Bytes
27d0c57 bc91ec9 27d0c57 1830e0f 6ab3aac 1830e0f 6ab3aac |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 |
---
language:
- sv-SE
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
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. -->
# XLS-R-300m-SV
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - SV-SE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3171
- Wer: 0.2730
## 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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 50.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.3349 | 1.45 | 500 | 3.2858 | 1.0 |
| 2.9298 | 2.91 | 1000 | 2.9225 | 1.0000 |
| 2.0839 | 4.36 | 1500 | 1.1546 | 0.8295 |
| 1.7093 | 5.81 | 2000 | 0.6827 | 0.5701 |
| 1.5855 | 7.27 | 2500 | 0.5597 | 0.4947 |
| 1.4831 | 8.72 | 3000 | 0.4923 | 0.4527 |
| 1.4416 | 10.17 | 3500 | 0.4670 | 0.4270 |
| 1.3848 | 11.63 | 4000 | 0.4341 | 0.3980 |
| 1.3749 | 13.08 | 4500 | 0.4203 | 0.4011 |
| 1.3311 | 14.53 | 5000 | 0.4310 | 0.3961 |
| 1.317 | 15.99 | 5500 | 0.3898 | 0.4322 |
| 1.2799 | 17.44 | 6000 | 0.3806 | 0.3572 |
| 1.2771 | 18.89 | 6500 | 0.3828 | 0.3427 |
| 1.2451 | 20.35 | 7000 | 0.3702 | 0.3359 |
| 1.2182 | 21.8 | 7500 | 0.3685 | 0.3270 |
| 1.2152 | 23.26 | 8000 | 0.3650 | 0.3308 |
| 1.1837 | 24.71 | 8500 | 0.3568 | 0.3187 |
| 1.1721 | 26.16 | 9000 | 0.3659 | 0.3249 |
| 1.1764 | 27.61 | 9500 | 0.3547 | 0.3145 |
| 1.1606 | 29.07 | 10000 | 0.3514 | 0.3104 |
| 1.1431 | 30.52 | 10500 | 0.3469 | 0.3062 |
| 1.1047 | 31.97 | 11000 | 0.3313 | 0.2979 |
| 1.1315 | 33.43 | 11500 | 0.3298 | 0.2992 |
| 1.1022 | 34.88 | 12000 | 0.3296 | 0.2973 |
| 1.0935 | 36.34 | 12500 | 0.3278 | 0.2926 |
| 1.0676 | 37.79 | 13000 | 0.3208 | 0.2868 |
| 1.0571 | 39.24 | 13500 | 0.3322 | 0.2885 |
| 1.0536 | 40.7 | 14000 | 0.3245 | 0.2831 |
| 1.0525 | 42.15 | 14500 | 0.3285 | 0.2826 |
| 1.0464 | 43.6 | 15000 | 0.3223 | 0.2796 |
| 1.0415 | 45.06 | 15500 | 0.3166 | 0.2774 |
| 1.0356 | 46.51 | 16000 | 0.3177 | 0.2746 |
| 1.04 | 47.96 | 16500 | 0.3150 | 0.2735 |
| 1.0209 | 49.42 | 17000 | 0.3175 | 0.2731 |
### Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.10.3
### Inference Without Decoder
### Inference With Decoder
### Eval results (run `./eval.py`) on Common Voice 7 "test":
**Without LM**: 27.28 WER
**With LM**:
|