File size: 2,190 Bytes
df9de01 |
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 |
---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-multiclass-lang-en-tiny
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-multiclass-lang-en-tiny
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1349
- Wer: 7.7873
- Cer: 5.4535
## 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: 16
- eval_batch_size: 8
- seed: 42
- 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
| 0.0661 | 4.5872 | 500 | 0.2294 | 11.3485 | 7.0165 |
| 0.0033 | 9.1743 | 1000 | 0.1563 | 17.7113 | 11.5596 |
| 0.0005 | 13.7615 | 1500 | 0.1456 | 8.0247 | 5.3246 |
| 0.0003 | 18.3486 | 2000 | 0.1414 | 7.8348 | 5.1271 |
| 0.0002 | 22.9358 | 2500 | 0.1390 | 8.5945 | 5.7798 |
| 0.0002 | 27.5229 | 3000 | 0.1374 | 8.5470 | 5.9258 |
| 0.0001 | 32.1101 | 3500 | 0.1362 | 7.9772 | 5.5136 |
| 0.0001 | 36.6972 | 4000 | 0.1355 | 7.8348 | 5.4449 |
| 0.0001 | 41.2844 | 4500 | 0.1351 | 7.7873 | 5.4449 |
| 0.0001 | 45.8716 | 5000 | 0.1349 | 7.7873 | 5.4535 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
|