metadata
tags:
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: experiment
results: []
experiment
This model is a fine-tuned version of on the fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 7.9853
- Cer: 0.9675
- Wer: 1.0
- Mer: 1.0
- Wil: 1.0
- Wip: 0.0
- Hits: 0
- Substitutions: 2
- Deletions: 29
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8.1125 | 0.0 | 4 | 8.0293 | 1.0 | 1.0 | 1.0 | 1 | 0 | 0 | 0 | 31 | 0 |
| 8.0111 | 0.01 | 8 | 7.9853 | 0.9675 | 1.0 | 1.0 | 1.0 | 0.0 | 0 | 2 | 29 | 0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2