File size: 3,254 Bytes
7db6466 fcb42de 7db6466 fcb42de 7db6466 fcb42de 7db6466 |
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 70 71 72 |
---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: whisper_wermet_nosup_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_wermet_nosup_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: 0.2198
- Train Accuracy: 0.0320
- Train Wermet: 3.8215
- Validation Loss: 0.4835
- Validation Accuracy: 0.0311
- Validation Wermet: 4.4217
- 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 | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
| 5.0729 | 0.0113 | 42.1824 | 4.4421 | 0.0120 | 27.3059 | 0 |
| 4.3249 | 0.0126 | 23.9224 | 4.0443 | 0.0141 | 18.2054 | 1 |
| 3.8845 | 0.0144 | 12.7780 | 3.4577 | 0.0169 | 10.3356 | 2 |
| 2.7411 | 0.0198 | 15.0018 | 1.8774 | 0.0244 | 14.5666 | 3 |
| 1.5621 | 0.0250 | 9.7248 | 1.2443 | 0.0273 | 5.4731 | 4 |
| 1.0745 | 0.0272 | 7.1512 | 0.9802 | 0.0285 | 4.4745 | 5 |
| 0.8261 | 0.0284 | 6.2358 | 0.8209 | 0.0293 | 5.6600 | 6 |
| 0.6673 | 0.0292 | 5.8338 | 0.7182 | 0.0298 | 4.0874 | 7 |
| 0.5548 | 0.0298 | 5.0555 | 0.6489 | 0.0301 | 4.4537 | 8 |
| 0.4694 | 0.0303 | 4.3895 | 0.6038 | 0.0304 | 2.8294 | 9 |
| 0.4011 | 0.0307 | 4.4178 | 0.5673 | 0.0306 | 3.5806 | 10 |
| 0.3446 | 0.0311 | 4.1189 | 0.5329 | 0.0308 | 4.7372 | 11 |
| 0.2968 | 0.0314 | 3.9189 | 0.5138 | 0.0309 | 2.2499 | 12 |
| 0.2553 | 0.0317 | 3.7758 | 0.4990 | 0.0310 | 3.3427 | 13 |
| 0.2198 | 0.0320 | 3.8215 | 0.4835 | 0.0311 | 4.4217 | 14 |
### Framework versions
- Transformers 4.27.0.dev0
- TensorFlow 2.11.0
- Datasets 2.10.0
- Tokenizers 0.13.2
|