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---
library_name: transformers
license: apache-2.0
base_model: biodatlab/whisper-th-large-combined
tags:
- generated_from_trainer
model-index:
- name: outs
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. -->
# outs
This model is a fine-tuned version of [biodatlab/whisper-th-large-combined](https://huggingface.co./biodatlab/whisper-th-large-combined) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4889
- Cer: 19.8091
## 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: 8e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.251 | 1.0 | 537 | 0.5741 | 29.9182 |
| 0.0648 | 2.0 | 1074 | 0.5175 | 25.4256 |
| 0.0132 | 3.0 | 1611 | 0.4889 | 19.8091 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
|