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---
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: '13123'
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. -->
# 13123
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4595
- Cer: 16.7167
## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.5184 | 0.1290 | 1000 | 0.5136 | 17.8441 |
| 0.4716 | 0.2581 | 2000 | 0.4829 | 17.0947 |
| 0.4664 | 0.3871 | 3000 | 0.4666 | 16.9219 |
| 0.4575 | 0.5161 | 4000 | 0.4595 | 16.7167 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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