File size: 2,843 Bytes
632dd88 13e4b4f 632dd88 13e4b4f 632dd88 13e4b4f 632dd88 13e4b4f b111bb4 c047e4e 632dd88 13e4b4f 632dd88 af77119 13e4b4f 632dd88 3d926ba 632dd88 13e4b4f 632dd88 3d926ba 632dd88 |
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 92 93 94 95 96 97 98 99 100 101 102 |
---
language:
- ta
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Base Ta - Bharat Ramanathan
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: mozilla-foundation/common_voice_11_0
type: mozilla-foundation/common_voice_11_0
config: ta
split: test
metrics:
- type: wer
value: 15.78
name: WER
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: google/fleurs
type: google/fleurs
config: ta_in
split: test
metrics:
- type: wer
value: 20.41
name: WER
---
<!-- 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 Base Ta - Bharat Ramanathan
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2269
- Wer: 21.7243
## 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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.5559 | 0.1 | 1000 | 0.3963 | 35.3308 |
| 0.3891 | 0.2 | 2000 | 0.3146 | 29.1511 |
| 0.3425 | 0.3 | 3000 | 0.2834 | 25.5930 |
| 0.3108 | 0.1 | 4000 | 0.2669 | 24.7191 |
| 0.2866 | 0.1 | 5000 | 0.2596 | 25.0936 |
| 0.2697 | 0.2 | 6000 | 0.2507 | 24.5943 |
| 0.2421 | 0.05 | 6500 | 0.2411 | 23.0395 |
| 0.2425 | 0.1 | 7000 | 0.2370 | 23.3804 |
| 0.2404 | 0.15 | 7500 | 0.2333 | 22.7959 |
| 0.2381 | 0.2 | 8000 | 0.2311 | 22.9420 |
| 0.2429 | 0.25 | 8500 | 0.2305 | 22.0166 |
| 0.2402 | 0.3 | 9000 | 0.2284 | 22.1140 |
| 0.2377 | 0.35 | 9500 | 0.2271 | 22.0653 |
| 0.2389 | 0.4 | 10000 | 0.2269 | 21.7243 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
|