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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_havest_0015
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# whisper_havest_0015
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3473
- Train Accuracy: 0.0321
- Validation Loss: 0.5945
- Validation Accuracy: 0.0311
- Epoch: 14
## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 5.0949 | 0.0116 | 4.4444 | 0.0124 | 0 |
| 4.3242 | 0.0130 | 4.0648 | 0.0140 | 1 |
| 3.9308 | 0.0145 | 3.6837 | 0.0157 | 2 |
| 3.5552 | 0.0159 | 3.3410 | 0.0171 | 3 |
| 3.1591 | 0.0175 | 2.8089 | 0.0198 | 4 |
| 2.2408 | 0.0221 | 1.7104 | 0.0255 | 5 |
| 1.4220 | 0.0261 | 1.2181 | 0.0279 | 6 |
| 1.0460 | 0.0280 | 0.9912 | 0.0290 | 7 |
| 0.8363 | 0.0291 | 0.8645 | 0.0296 | 8 |
| 0.6967 | 0.0299 | 0.7748 | 0.0301 | 9 |
| 0.5942 | 0.0305 | 0.7201 | 0.0304 | 10 |
| 0.5151 | 0.0309 | 0.6675 | 0.0307 | 11 |
| 0.4496 | 0.0314 | 0.6382 | 0.0308 | 12 |
| 0.3951 | 0.0318 | 0.6060 | 0.0310 | 13 |
| 0.3473 | 0.0321 | 0.5945 | 0.0311 | 14 |
### Framework versions
- Transformers 4.25.0.dev0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2
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