metadata
base_model: openai/whisper-tiny
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: whisper-tinyfinacial
results: []
whisper-tinyfinacial
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5217
- Wer: 55.6180
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: 1.35e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 600
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.4 | 50 | 0.9091 | 64.0449 |
| No log | 0.8 | 100 | 0.6941 | 52.2472 |
| No log | 1.2 | 150 | 0.5615 | 51.6854 |
| No log | 1.6 | 200 | 0.5219 | 47.1910 |
| No log | 2.0 | 250 | 0.4938 | 47.7528 |
| No log | 2.4 | 300 | 0.4970 | 50.0 |
| No log | 2.8 | 350 | 0.4999 | 58.4270 |
| No log | 3.2 | 400 | 0.5076 | 46.0674 |
| No log | 3.6 | 450 | 0.5157 | 52.2472 |
| 0.3104 | 4.0 | 500 | 0.5277 | 56.1798 |
| 0.3104 | 4.4 | 550 | 0.5257 | 57.3034 |
| 0.3104 | 4.8 | 600 | 0.5217 | 55.6180 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1