whisper-haccp / README.md
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---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- jasonlee-092724-haccp
model-index:
- name: Whisper Small HACCP - Jason Lee
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 HACCP - Jason Lee
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Jason Lee 092724 HACCP dataset.
## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 1 | 0.6965 |
### Framework versions
- Transformers 4.45.0
- Pytorch 2.2.0
- Datasets 3.0.1
- Tokenizers 0.20.0