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---
tags:
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: experiment
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. -->
# experiment
This model is a fine-tuned version of [](https://huggingface.co/) on the fleurs dataset.
It achieves the following results on the evaluation set:
- Loss: 7.9280
- Cer: 1.0
- Wer: 1.0
- Mer: 1.0
- Wil: 1
- Wip: 0
- Hits: 0
- Substitutions: 0
- Deletions: 34
- Insertions: 0
## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Mer | Wil | Wip | Hits | Substitutions | Deletions | Insertions |
|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|:---:|:---:|:---:|:----:|:-------------:|:---------:|:----------:|
| 8.0922 | 0.0 | 4 | 7.9783 | 1.0 | 1.0 | 1.0 | 1 | 0 | 0 | 0 | 34 | 0 |
| 7.9733 | 0.01 | 8 | 7.9280 | 1.0 | 1.0 | 1.0 | 1 | 0 | 0 | 0 | 34 | 0 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2
### Wandb run
https://wandb.ai/alexander-polok/huggingface/runs/imoe89wk |