|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tinyfinacial |
|
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. --> |
|
|
|
# whisper-tinyfinacial |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 4.1540 |
|
- Wer: 154.4944 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 1 |
|
- 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 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 25.0 | 50 | 1.4261 | 66.8539 | |
|
| No log | 50.0 | 100 | 1.3916 | 86.5169 | |
|
| No log | 75.0 | 150 | 1.6553 | 165.1685 | |
|
| No log | 100.0 | 200 | 2.6574 | 134.8315 | |
|
| No log | 125.0 | 250 | 2.7460 | 142.6966 | |
|
| No log | 150.0 | 300 | 3.4242 | 157.3034 | |
|
| No log | 175.0 | 350 | 3.7021 | 165.7303 | |
|
| No log | 200.0 | 400 | 3.9109 | 168.5393 | |
|
| No log | 225.0 | 450 | 4.0157 | 198.8764 | |
|
| 3.7169 | 250.0 | 500 | 4.1466 | 164.6067 | |
|
| 3.7169 | 275.0 | 550 | 4.1483 | 152.8090 | |
|
| 3.7169 | 300.0 | 600 | 4.1540 | 154.4944 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
