File size: 2,009 Bytes
7508661 |
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_trainer
metrics:
- accuracy
model-index:
- name: ser_model_adjusted_2023-03-03
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. -->
# ser_model_adjusted_2023-03-03
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8997
- Accuracy: 0.7573
## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7826 | 1.0 | 15 | 1.7119 | 0.3180 |
| 1.6174 | 2.0 | 30 | 1.5893 | 0.3808 |
| 1.5272 | 3.0 | 45 | 1.4628 | 0.4059 |
| 1.3355 | 4.0 | 60 | 1.3073 | 0.5230 |
| 1.2021 | 5.0 | 75 | 1.1725 | 0.5941 |
| 1.0797 | 6.0 | 90 | 1.0559 | 0.6904 |
| 0.9803 | 7.0 | 105 | 1.0222 | 0.7071 |
| 0.882 | 8.0 | 120 | 0.9297 | 0.7448 |
| 0.8505 | 9.0 | 135 | 0.8997 | 0.7573 |
| 0.7807 | 10.0 | 150 | 0.8801 | 0.7573 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
|