File size: 1,217 Bytes
4af80a4 d615fda a10f38d d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda 4af80a4 d615fda |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-large-xlsr-53
model-index:
- name: wav2vec2-large-vn-lang-test-3
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-large-vn-lang-test-3
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 30
### Training results
### Framework versions
- Transformers 4.39.3
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.15.2
|