File size: 2,316 Bytes
2856b40 b7c69b1 2856b40 30afed6 2856b40 b7c69b1 2856b40 b7c69b1 2856b40 b7c69b1 30afed6 b7c69b1 2856b40 30afed6 |
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 73 74 75 76 77 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-ie
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-ie
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: 0.9461
- Accuracy: 0.6857
## 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: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1913 | 1.0 | 102 | 1.1911 | 0.4374 |
| 1.0238 | 2.0 | 204 | 1.0045 | 0.5529 |
| 0.809 | 3.0 | 306 | 0.9396 | 0.6188 |
| 0.7097 | 4.0 | 408 | 1.2146 | 0.5558 |
| 0.6082 | 5.0 | 510 | 1.2860 | 0.5752 |
| 0.4099 | 6.0 | 612 | 1.3618 | 0.5771 |
| 0.3927 | 7.0 | 714 | 1.1155 | 0.6508 |
| 0.2013 | 8.0 | 816 | 1.3554 | 0.6266 |
| 0.2208 | 9.0 | 918 | 1.7306 | 0.5674 |
| 0.1967 | 10.0 | 1020 | 1.6680 | 0.6004 |
| 0.1563 | 11.0 | 1122 | 1.6125 | 0.6402 |
| 0.0777 | 12.0 | 1224 | 1.7766 | 0.6305 |
| 0.0486 | 13.0 | 1326 | 1.8744 | 0.6324 |
| 0.0594 | 14.0 | 1428 | 1.9529 | 0.6246 |
| 0.0363 | 15.0 | 1530 | 1.8843 | 0.6334 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
|