File size: 1,481 Bytes
84c19d0
60822d9
 
 
 
 
cd2b2a9
84c19d0
 
60822d9
84c19d0
 
60822d9
84c19d0
 
 
 
 
 
60822d9
84c19d0
60822d9
84c19d0
9656d37
 
 
 
238a561
9656d37
 
84c19d0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
language:
- ta
- te
- ml
- kn
- multilingual
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
model-index:
- name: Whisper Tiny South Indic - Bharat Ramanathan
  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. -->

# Whisper Tiny South Indic - Bharat Ramanathan

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3515
- eval_wer: 70.0806
- eval_runtime: 66.8197
- eval_samples_per_second: 1.497
- eval_steps_per_second: 0.105
- epoch: 5.08
- step: 3000

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2