End of training
Browse files- README.md +73 -0
- adapter_model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- ko
|
4 |
+
license: apache-2.0
|
5 |
+
library_name: peft
|
6 |
+
tags:
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: openai/whisper-large-v2
|
9 |
+
datasets:
|
10 |
+
- Bingsu/zeroth-korean
|
11 |
+
model-index:
|
12 |
+
- name: Whisper large-v2 Korean - ML_project_voice2text
|
13 |
+
results: []
|
14 |
+
---
|
15 |
+
|
16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
17 |
+
should probably proofread and complete it, then remove this comment. -->
|
18 |
+
|
19 |
+
# Whisper large-v2 Korean - ML_project_voice2text
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 0.0646
|
24 |
+
- Cer: 1.4722
|
25 |
+
|
26 |
+
## Model description
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Intended uses & limitations
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Training and evaluation data
|
35 |
+
|
36 |
+
More information needed
|
37 |
+
|
38 |
+
## Training procedure
|
39 |
+
|
40 |
+
### Training hyperparameters
|
41 |
+
|
42 |
+
The following hyperparameters were used during training:
|
43 |
+
- learning_rate: 0.001
|
44 |
+
- train_batch_size: 4
|
45 |
+
- eval_batch_size: 2
|
46 |
+
- seed: 42
|
47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
+
- lr_scheduler_type: linear
|
49 |
+
- lr_scheduler_warmup_steps: 50
|
50 |
+
- training_steps: 16000
|
51 |
+
- mixed_precision_training: Native AMP
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss | Cer |
|
56 |
+
|:-------------:|:------:|:-----:|:---------------:|:------:|
|
57 |
+
| 0.2332 | 0.3593 | 2000 | 0.2677 | 7.6162 |
|
58 |
+
| 0.196 | 0.7186 | 4000 | 0.2293 | 6.0733 |
|
59 |
+
| 0.1524 | 1.0780 | 6000 | 0.1864 | 5.3510 |
|
60 |
+
| 0.1062 | 1.4373 | 8000 | 0.1448 | 3.4508 |
|
61 |
+
| 0.0815 | 1.7966 | 10000 | 0.1126 | 3.2428 |
|
62 |
+
| 0.0349 | 2.1559 | 12000 | 0.0863 | 1.9394 |
|
63 |
+
| 0.0281 | 2.5153 | 14000 | 0.0732 | 1.6214 |
|
64 |
+
| 0.0191 | 2.8746 | 16000 | 0.0646 | 1.4722 |
|
65 |
+
|
66 |
+
|
67 |
+
### Framework versions
|
68 |
+
|
69 |
+
- PEFT 0.11.2.dev0
|
70 |
+
- Transformers 4.41.1
|
71 |
+
- Pytorch 2.3.0+cu121
|
72 |
+
- Datasets 2.19.1
|
73 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 62969640
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:36e4a683cb204b6abac72e1f299d19f250d6c9fb2ca32cc959f29bdb4d7bd9b0
|
3 |
size 62969640
|