Model save
Browse files- README.md +77 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: facebook/wav2vec2-base
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- wer
|
8 |
+
model-index:
|
9 |
+
- name: w2v2-base-pretrained_lr5e-5_at0.8_da0.1
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# w2v2-base-pretrained_lr5e-5_at0.8_da0.1
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 11.1145
|
21 |
+
- Wer: 0.8466
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 5e-05
|
41 |
+
- train_batch_size: 32
|
42 |
+
- eval_batch_size: 8
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- lr_scheduler_warmup_steps: 500
|
47 |
+
- training_steps: 4000
|
48 |
+
- mixed_precision_training: Native AMP
|
49 |
+
|
50 |
+
### Training results
|
51 |
+
|
52 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
53 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
54 |
+
| 30.6579 | 50.0 | 250 | 9.9946 | 1.0 |
|
55 |
+
| 6.2256 | 100.0 | 500 | 8.2673 | 1.0 |
|
56 |
+
| 2.8836 | 150.0 | 750 | 8.1729 | 1.0 |
|
57 |
+
| 1.2163 | 200.0 | 1000 | 7.8384 | 1.0406 |
|
58 |
+
| 0.4153 | 250.0 | 1250 | 8.4861 | 0.9833 |
|
59 |
+
| 0.2165 | 300.0 | 1500 | 8.9662 | 0.9334 |
|
60 |
+
| 0.1446 | 350.0 | 1750 | 9.3884 | 0.8800 |
|
61 |
+
| 0.084 | 400.0 | 2000 | 9.8852 | 0.8898 |
|
62 |
+
| 0.0684 | 450.0 | 2250 | 10.0792 | 0.8988 |
|
63 |
+
| 0.0512 | 500.0 | 2500 | 10.3480 | 0.8548 |
|
64 |
+
| 0.0458 | 550.0 | 2750 | 10.6581 | 0.8855 |
|
65 |
+
| 0.0284 | 600.0 | 3000 | 10.6477 | 0.8800 |
|
66 |
+
| 0.0198 | 650.0 | 3250 | 10.7117 | 0.8642 |
|
67 |
+
| 0.0139 | 700.0 | 3500 | 11.0289 | 0.8595 |
|
68 |
+
| 0.0123 | 750.0 | 3750 | 11.1053 | 0.8432 |
|
69 |
+
| 0.0089 | 800.0 | 4000 | 11.1145 | 0.8466 |
|
70 |
+
|
71 |
+
|
72 |
+
### Framework versions
|
73 |
+
|
74 |
+
- Transformers 4.35.0
|
75 |
+
- Pytorch 2.0.0
|
76 |
+
- Datasets 2.14.6
|
77 |
+
- Tokenizers 0.14.1
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 377629528
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5940a2a0ce239dd8e6748d841895d890dc28cd70c3ee10630b12fd60ce4f6d86
|
3 |
size 377629528
|