lanmandragoran
commited on
Commit
•
3381273
1
Parent(s):
4a1b12c
End of training
Browse files
README.md
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- ur
|
4 |
+
license: apache-2.0
|
5 |
+
base_model: openai/whisper-large-v2
|
6 |
+
tags:
|
7 |
+
- whisper-event
|
8 |
+
- generated_from_trainer
|
9 |
+
datasets:
|
10 |
+
- mozilla-foundation/common_voice_14_0
|
11 |
+
metrics:
|
12 |
+
- wer
|
13 |
+
model-index:
|
14 |
+
- name: Whisper Large Ur
|
15 |
+
results:
|
16 |
+
- task:
|
17 |
+
name: Automatic Speech Recognition
|
18 |
+
type: automatic-speech-recognition
|
19 |
+
dataset:
|
20 |
+
name: Common Voice 14.0
|
21 |
+
type: mozilla-foundation/common_voice_14_0
|
22 |
+
config: ur
|
23 |
+
split: test
|
24 |
+
args: ur
|
25 |
+
metrics:
|
26 |
+
- name: Wer
|
27 |
+
type: wer
|
28 |
+
value: 34.28703990102072
|
29 |
+
---
|
30 |
+
|
31 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
32 |
+
should probably proofread and complete it, then remove this comment. -->
|
33 |
+
|
34 |
+
# Whisper Large Ur
|
35 |
+
|
36 |
+
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 14.0 dataset.
|
37 |
+
It achieves the following results on the evaluation set:
|
38 |
+
- Loss: 0.5744
|
39 |
+
- Wer: 34.2870
|
40 |
+
|
41 |
+
## Model description
|
42 |
+
|
43 |
+
More information needed
|
44 |
+
|
45 |
+
## Intended uses & limitations
|
46 |
+
|
47 |
+
More information needed
|
48 |
+
|
49 |
+
## Training and evaluation data
|
50 |
+
|
51 |
+
More information needed
|
52 |
+
|
53 |
+
## Training procedure
|
54 |
+
|
55 |
+
### Training hyperparameters
|
56 |
+
|
57 |
+
The following hyperparameters were used during training:
|
58 |
+
- learning_rate: 1e-05
|
59 |
+
- train_batch_size: 32
|
60 |
+
- eval_batch_size: 16
|
61 |
+
- seed: 42
|
62 |
+
- distributed_type: multi-GPU
|
63 |
+
- gradient_accumulation_steps: 2
|
64 |
+
- total_train_batch_size: 64
|
65 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
66 |
+
- lr_scheduler_type: linear
|
67 |
+
- lr_scheduler_warmup_steps: 500
|
68 |
+
- training_steps: 1000
|
69 |
+
|
70 |
+
### Training results
|
71 |
+
|
72 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
73 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|
|
74 |
+
| 0.0134 | 9.07 | 1000 | 0.5744 | 34.2870 |
|
75 |
+
|
76 |
+
|
77 |
+
### Framework versions
|
78 |
+
|
79 |
+
- Transformers 4.37.0.dev0
|
80 |
+
- Pytorch 2.1.0+cu121
|
81 |
+
- Datasets 2.16.2.dev0
|
82 |
+
- Tokenizers 0.15.0
|
runs/Jan04_18-48-38_19a34eb4c2f6/events.out.tfevents.1704394234.19a34eb4c2f6.1177.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:820bfc5141111835f55468727e2e07a820233525a7ea48e509530650a364dcf9
|
3 |
+
size 12226
|