RamNaamSatyaHai
commited on
Commit
•
0dcdbe7
1
Parent(s):
048fe8e
End of training
Browse files- README.md +86 -0
- generation_config.json +12 -0
- pytorch_model.bin +1 -1
README.md
ADDED
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- hi
|
4 |
+
license: apache-2.0
|
5 |
+
base_model: openai/whisper-small
|
6 |
+
tags:
|
7 |
+
- hf-asr-leaderboard
|
8 |
+
- generated_from_trainer
|
9 |
+
datasets:
|
10 |
+
- mozilla-foundation/common_voice_11_0
|
11 |
+
metrics:
|
12 |
+
- wer
|
13 |
+
model-index:
|
14 |
+
- name: Whisper Small Hi gpu
|
15 |
+
results:
|
16 |
+
- task:
|
17 |
+
name: Automatic Speech Recognition
|
18 |
+
type: automatic-speech-recognition
|
19 |
+
dataset:
|
20 |
+
name: Common Voice 11.0
|
21 |
+
type: mozilla-foundation/common_voice_11_0
|
22 |
+
config: hi
|
23 |
+
split: test
|
24 |
+
args: 'config: hi, split: test'
|
25 |
+
metrics:
|
26 |
+
- name: Wer
|
27 |
+
type: wer
|
28 |
+
value: 194.9420130364852
|
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 Small Hi gpu
|
35 |
+
|
36 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
|
37 |
+
It achieves the following results on the evaluation set:
|
38 |
+
- Loss: 2.8500
|
39 |
+
- Wer: 194.9420
|
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 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
63 |
+
- lr_scheduler_type: linear
|
64 |
+
- lr_scheduler_warmup_steps: 500
|
65 |
+
- training_steps: 4000
|
66 |
+
|
67 |
+
### Training results
|
68 |
+
|
69 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
70 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
71 |
+
| 8.6847 | 2.44 | 500 | 8.6186 | 184.5213 |
|
72 |
+
| 7.0074 | 4.88 | 1000 | 6.9394 | 502.2010 |
|
73 |
+
| 5.0316 | 7.32 | 1500 | 4.9749 | 693.9939 |
|
74 |
+
| 3.7844 | 9.76 | 2000 | 3.7445 | 447.2488 |
|
75 |
+
| 3.2504 | 12.2 | 2500 | 3.2245 | 326.1619 |
|
76 |
+
| 3.0134 | 14.63 | 3000 | 2.9979 | 217.9463 |
|
77 |
+
| 2.8995 | 17.07 | 3500 | 2.8893 | 213.6164 |
|
78 |
+
| 2.8678 | 19.51 | 4000 | 2.8500 | 194.9420 |
|
79 |
+
|
80 |
+
|
81 |
+
### Framework versions
|
82 |
+
|
83 |
+
- Transformers 4.33.1
|
84 |
+
- Pytorch 2.0.1+rocm5.4.2
|
85 |
+
- Datasets 2.14.5
|
86 |
+
- Tokenizers 0.12.1
|
generation_config.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"begin_suppress_tokens": [
|
3 |
+
220,
|
4 |
+
50256
|
5 |
+
],
|
6 |
+
"bos_token_id": 50256,
|
7 |
+
"decoder_start_token_id": 50257,
|
8 |
+
"eos_token_id": 50256,
|
9 |
+
"pad_token_id": 50256,
|
10 |
+
"return_timestamps": false,
|
11 |
+
"transformers_version": "4.33.1"
|
12 |
+
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 113048417
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8d5b0c8de1717e1ed726fb3187e8eb1613980565a85666952f553c298e71545e
|
3 |
size 113048417
|