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---
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ./whisper-large-cit-synth-do015-wd0-lr1e-06-1000
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-cit-synth-do015-wd0-lr1e-06-1000
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the SF 1000 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3706
- Wer: 23.6647
## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- 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: 500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| No log | 0.4444 | 25 | 0.7983 | 35.9064 |
| 0.967 | 0.8889 | 50 | 0.6724 | 32.3977 |
| 0.967 | 1.3333 | 75 | 0.5459 | 30.7602 |
| 0.6804 | 1.7778 | 100 | 0.4692 | 27.4854 |
| 0.6804 | 2.2222 | 125 | 0.4341 | 26.3548 |
| 0.5145 | 2.6667 | 150 | 0.4143 | 25.5361 |
| 0.5145 | 3.1111 | 175 | 0.4019 | 25.4191 |
| 0.4614 | 3.5556 | 200 | 0.3914 | 25.0292 |
| 0.4614 | 4.0 | 225 | 0.3879 | 24.4444 |
| 0.3891 | 4.4444 | 250 | 0.3835 | 24.6784 |
| 0.3891 | 4.8889 | 275 | 0.3794 | 24.6004 |
| 0.3765 | 5.3333 | 300 | 0.3772 | 24.0156 |
| 0.3765 | 5.7778 | 325 | 0.3745 | 23.4308 |
| 0.3511 | 6.2222 | 350 | 0.3726 | 23.5478 |
| 0.3511 | 6.6667 | 375 | 0.3713 | 23.5867 |
| 0.3307 | 7.1111 | 400 | 0.3706 | 23.4308 |
| 0.3307 | 7.5556 | 425 | 0.3699 | 23.1189 |
| 0.3176 | 8.0 | 450 | 0.3706 | 23.3918 |
| 0.3176 | 8.4444 | 475 | 0.3708 | 23.6647 |
| 0.31 | 8.8889 | 500 | 0.3706 | 23.6647 |
### Framework versions
- Transformers 4.42.3
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
|