File size: 2,476 Bytes
83d07ab 19c29ec 83d07ab 19c29ec 83d07ab |
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 |
---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- automatic-speech-recognition
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-MYST
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-MYST
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MYST dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0
- Cer: 1.0005
## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:------:|:---------------:|:---:|:------:|
| 3.7175 | 1.1963 | 10000 | inf | 1.0 | 1.0005 |
| 0.0 | 2.3926 | 20000 | nan | 1.0 | 1.0005 |
| 0.0 | 3.5889 | 30000 | nan | 1.0 | 1.0005 |
| 0.0 | 4.7853 | 40000 | nan | 1.0 | 1.0005 |
| 0.0 | 5.9816 | 50000 | nan | 1.0 | 1.0005 |
| 0.0 | 7.1779 | 60000 | nan | 1.0 | 1.0005 |
| 0.0 | 8.3742 | 70000 | nan | 1.0 | 1.0005 |
| 0.0 | 9.5705 | 80000 | nan | 1.0 | 1.0005 |
| 0.0 | 10.7668 | 90000 | nan | 1.0 | 1.0005 |
| 0.0 | 11.9632 | 100000 | nan | 1.0 | 1.0005 |
| 0.0 | 13.1595 | 110000 | nan | 1.0 | 1.0005 |
| 0.0 | 14.3558 | 120000 | nan | 1.0 | 1.0005 |
### Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
|