---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-SplitEndMovie-Sentences
  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-medium-SplitEndMovie-Sentences

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7540
- Cer: 20.8488
- Wer: 32.7626

## 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer     | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.559         | 1.0   | 1277  | 0.8053          | 35.8285 | 55.0781 |
| 0.9499        | 2.0   | 2554  | 0.7246          | 36.0860 | 54.7614 |
| 0.7357        | 3.0   | 3831  | 0.6841          | 34.7272 | 53.8555 |
| 0.6126        | 4.0   | 5108  | 0.6781          | 29.3859 | 46.3433 |
| 0.5156        | 5.0   | 6385  | 0.6672          | 30.6182 | 46.0451 |
| 0.4406        | 6.0   | 7662  | 0.6666          | 25.3170 | 39.2731 |
| 0.3765        | 7.0   | 8939  | 0.6689          | 27.9081 | 42.4179 |
| 0.3221        | 8.0   | 10216 | 0.6737          | 24.7555 | 37.9879 |
| 0.2758        | 9.0   | 11493 | 0.6827          | 24.3163 | 37.4466 |
| 0.2351        | 10.0  | 12770 | 0.6948          | 22.6004 | 35.6385 |
| 0.2023        | 11.0  | 14047 | 0.7071          | 21.7533 | 34.4970 |
| 0.1737        | 12.0  | 15324 | 0.7186          | 21.7414 | 34.1287 |
| 0.1502        | 13.0  | 16601 | 0.7267          | 22.0465 | 34.4528 |
| 0.1298        | 14.0  | 17878 | 0.7400          | 21.9167 | 33.8894 |
| 0.1126        | 15.0  | 19155 | 0.7540          | 20.8488 | 32.7626 |
| 0.0977        | 16.0  | 20432 | 0.7677          | 21.9437 | 33.9373 |
| 0.0862        | 17.0  | 21709 | 0.7844          | 21.2362 | 33.3186 |
| 0.0761        | 18.0  | 22986 | 0.7879          | 21.4320 | 33.2376 |
| 0.0682        | 19.0  | 24263 | 0.7964          | 20.8683 | 32.8767 |
| 0.0606        | 20.0  | 25540 | 0.8052          | 21.0014 | 32.8473 |


### Framework versions

- Transformers 4.53.3
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.21.2