File size: 2,104 Bytes
b39289f 5919e0d b39289f 5919e0d b39289f 5919e0d b39289f 5919e0d b39289f |
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 |
---
language:
- hr
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v3-mici-princ
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-large-v3-mici-princ
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Mići Princ dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4596
- Wer: 33.5008
## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 3090
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0013 | 17.66 | 309 | 1.1495 | 37.1859 |
| 0.0009 | 35.31 | 618 | 1.1700 | 27.3032 |
| 0.0001 | 52.97 | 927 | 1.3428 | 27.7219 |
| 0.0001 | 70.63 | 1236 | 1.3874 | 27.2194 |
| 0.0001 | 88.29 | 1545 | 1.4141 | 27.3869 |
| 0.0001 | 105.94 | 1854 | 1.4331 | 33.5008 |
| 0.0001 | 123.6 | 2163 | 1.4445 | 33.3333 |
| 0.0 | 141.26 | 2472 | 1.4520 | 33.3333 |
| 0.0 | 158.91 | 2781 | 1.4576 | 33.3333 |
| 0.0 | 176.57 | 3090 | 1.4596 | 33.5008 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
|