File size: 2,127 Bytes
aada06b |
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 |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base
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. -->
# wav2vec2-base
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4500
- Wer: 0.2132
## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use adafactor and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 6000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.1825 | 4.4267 | 500 | 0.2557 | 0.2045 |
| 0.1185 | 8.8533 | 1000 | 0.3017 | 0.2121 |
| 0.0937 | 13.2756 | 1500 | 0.3172 | 0.2039 |
| 0.0777 | 17.7022 | 2000 | 0.3681 | 0.2179 |
| 0.059 | 22.1244 | 2500 | 0.4151 | 0.2232 |
| 0.0673 | 26.5511 | 3000 | 0.4483 | 0.2138 |
| 0.0479 | 30.9778 | 3500 | 0.4478 | 0.2168 |
| 0.0463 | 35.4 | 4000 | 0.4102 | 0.2138 |
| 0.0436 | 39.8267 | 4500 | 0.4533 | 0.2109 |
| 0.0355 | 44.2489 | 5000 | 0.4166 | 0.2150 |
| 0.0242 | 48.6756 | 5500 | 0.4591 | 0.2156 |
| 0.0227 | 53.0978 | 6000 | 0.4500 | 0.2132 |
### Framework versions
- Transformers 4.55.1
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.21.4
|