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---
base_model: openai/whisper-tiny
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
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: 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
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