English-1 / README.md
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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: English-1
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. -->
# English-1
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9309
- Wer: 91.4530
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log | 1.0 | 22 | 9.1617 | 100.0 |
| No log | 2.0 | 44 | 4.2719 | 100.0 |
| No log | 3.0 | 66 | 2.9975 | 100.0 |
| No log | 4.0 | 88 | 2.2389 | 99.5726 |
| No log | 5.0 | 110 | 1.9309 | 91.4530 |
| No log | 6.0 | 132 | 1.9309 | 91.4530 |
| No log | 7.0 | 154 | 1.9309 | 91.4530 |
| No log | 8.0 | 176 | 1.9309 | 91.4530 |
| No log | 9.0 | 198 | 1.9309 | 91.4530 |
| No log | 10.0 | 220 | 1.9309 | 91.4530 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.13.3