File size: 1,824 Bytes
6977347 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-atco2-asr
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-small-atco2-asr
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8297
- Wer: 33.4520
## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6955 | 12.5 | 50 | 0.8441 | 57.4288 |
| 0.0631 | 25.0 | 100 | 0.7271 | 27.8470 |
| 0.0034 | 37.5 | 150 | 0.7708 | 36.8772 |
| 0.0008 | 50.0 | 200 | 0.7991 | 31.8060 |
| 0.0006 | 62.5 | 250 | 0.8141 | 32.2509 |
| 0.0004 | 75.0 | 300 | 0.8228 | 32.8292 |
| 0.0004 | 87.5 | 350 | 0.8281 | 33.2295 |
| 0.0004 | 100.0 | 400 | 0.8297 | 33.4520 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0
|