File size: 2,730 Bytes
c327565 |
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 78 79 80 81 82 83 84 |
---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-960h-finetuned-ks
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-960h-finetuned-ks
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6449
- Accuracy: 0.1069
## 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- lr_scheduler_warmup_steps: 10
- training_steps: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 2.6379 | 0.0840 |
| 1.3193 | 2.0 | 3 | 2.6377 | 0.0840 |
| 1.1536 | 3.0 | 4 | 2.6374 | 0.0763 |
| 0.8255 | 4.0 | 6 | 2.6377 | 0.0763 |
| 0.8247 | 5.0 | 8 | 2.6390 | 0.0763 |
| 0.8247 | 6.0 | 9 | 2.6387 | 0.0840 |
| 1.1536 | 7.0 | 11 | 2.6415 | 0.0992 |
| 1.3183 | 8.0 | 12 | 2.6408 | 0.0916 |
| 1.3183 | 9.0 | 13 | 2.6402 | 0.0992 |
| 1.3176 | 10.0 | 15 | 2.6414 | 0.0992 |
| 1.1517 | 11.0 | 16 | 2.6419 | 0.0992 |
| 0.823 | 12.0 | 18 | 2.6426 | 0.0992 |
| 0.8222 | 13.0 | 20 | 2.6449 | 0.1069 |
| 0.8222 | 14.0 | 21 | 2.6467 | 0.0992 |
| 1.1534 | 15.0 | 23 | 2.6469 | 0.0916 |
| 1.3186 | 16.0 | 24 | 2.6464 | 0.0840 |
| 1.3186 | 17.0 | 25 | 2.6460 | 0.0840 |
| 1.3143 | 18.0 | 27 | 2.6454 | 0.0916 |
| 1.1482 | 19.0 | 28 | 2.6450 | 0.0840 |
| 0.8229 | 20.0 | 30 | 2.6450 | 0.0840 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
|