File size: 1,217 Bytes
4af80a4
d615fda
a26f48e
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
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
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