File size: 1,830 Bytes
d468757 f4f89fc d468757 a2ad1e2 |
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
base_model: motheecreator/wav2vec2-base-finetuned
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-finetuned
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. -->
# wav2vec2-base-finetuned-finetuned
This model is a fine-tuned version of [motheecreator/wav2vec2-base-finetuned](https://huggingface.co/motheecreator/wav2vec2-base-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0829
- Accuracy: 0.9882
## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.1448 | 1.0 | 1900 | 0.9601 | 0.1447 |
| 0.0673 | 2.0 | 3800 | 0.9824 | 0.0817 |
| 0.0178 | 3.0 | 5700 | 0.9796 | 0.1054 |
| 0.0002 | 4.0 | 7600 | 0.9824 | 0.1074 |
| 0.0108 | 5.0 | 9500 | 0.9882 | 0.0829 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
### Contributors
- Abdalla312
- motheecreator |