File size: 2,482 Bytes
0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 31cb3fb 0a07bb3 e395a6e 0a07bb3 |
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 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
---
language:
- ml
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_0
metrics:
- wer
model-index:
- name: Breeze DSW Malayalam - tiny
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_16_0 ml
type: mozilla-foundation/common_voice_16_0
config: ml
split: test
args: ml
metrics:
- name: Wer
type: wer
value: 54.37442075996293
---
<!-- 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. -->
# Breeze DSW Malayalam - tiny
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_16_0 ml dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5503
- Wer: 54.3744
## 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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.1736 | 2.02 | 100 | 1.1670 | 99.7776 |
| 0.9647 | 4.04 | 200 | 1.0049 | 95.4866 |
| 0.5311 | 7.02 | 300 | 0.6807 | 74.5598 |
| 0.3036 | 9.04 | 400 | 0.5410 | 61.5755 |
| 0.1672 | 12.02 | 500 | 0.5146 | 56.5709 |
| 0.1006 | 14.04 | 600 | 0.5503 | 54.3744 |
| 0.0484 | 17.02 | 700 | 0.5859 | 54.5042 |
| 0.0305 | 19.04 | 800 | 0.6562 | 55.4124 |
| 0.0147 | 22.02 | 900 | 0.7095 | 54.8749 |
| 0.0116 | 24.04 | 1000 | 0.7383 | 55.0973 |
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
|