File size: 1,953 Bytes
5d9584e
 
 
 
 
 
 
 
 
 
 
 
 
 
28c9d4c
 
 
 
5d9584e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2163556
5d9584e
 
 
 
 
2163556
99b0d21
5d9584e
 
28c9d4c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5d9584e
 
99b0d21
5d9584e
 
 
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
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-asr-th
  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-asr-th

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1908.0026
- Cer: 0.9999

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 11752.32      | 0.56  | 100  | 17728.8105      | 1.0360 |
| 3485.8809     | 1.13  | 200  | 2843.4883       | 0.9999 |
| 1825.8963     | 1.69  | 300  | 1949.6913       | 0.9999 |
| 1540.4011     | 2.26  | 400  | 1908.0026       | 0.9999 |
| 1940.8058     | 2.82  | 500  | 1929.7510       | 0.9999 |
| 2261.2883     | 3.39  | 600  | 1879.6377       | 0.9999 |
| 1710.6505     | 3.95  | 700  | 1878.9219       | 0.9999 |
| 1641.3581     | 4.52  | 800  | 1844.1653       | 0.9999 |
| 1888.4705     | 5.08  | 900  | 1846.2725       | 0.9999 |
| 2143.9672     | 5.65  | 1000 | 1846.6494       | 0.9999 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2