Commit
•
f86577c
1
Parent(s):
fd8183f
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
model-index:
|
| 8 |
+
- name: wav2vec2-base-sound2
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# wav2vec2-base-sound2
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.5012
|
| 20 |
+
- Accuracy: 0.5357
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 9e-05
|
| 40 |
+
- train_batch_size: 32
|
| 41 |
+
- eval_batch_size: 32
|
| 42 |
+
- seed: 42
|
| 43 |
+
- gradient_accumulation_steps: 4
|
| 44 |
+
- total_train_batch_size: 128
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 48 |
+
- num_epochs: 25
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 54 |
+
| No log | 1.0 | 1 | 2.0762 | 0.0714 |
|
| 55 |
+
| No log | 2.0 | 2 | 2.0638 | 0.1429 |
|
| 56 |
+
| No log | 3.0 | 3 | 2.0387 | 0.2143 |
|
| 57 |
+
| No log | 4.0 | 4 | 2.0124 | 0.2143 |
|
| 58 |
+
| No log | 5.0 | 5 | 1.9864 | 0.2143 |
|
| 59 |
+
| No log | 6.0 | 6 | 1.9609 | 0.2143 |
|
| 60 |
+
| No log | 7.0 | 7 | 1.9235 | 0.2143 |
|
| 61 |
+
| No log | 8.0 | 8 | 1.9379 | 0.2143 |
|
| 62 |
+
| No log | 9.0 | 9 | 1.8627 | 0.2857 |
|
| 63 |
+
| 1.9713 | 10.0 | 10 | 1.8277 | 0.3214 |
|
| 64 |
+
| 1.9713 | 11.0 | 11 | 1.7765 | 0.3571 |
|
| 65 |
+
| 1.9713 | 12.0 | 12 | 1.7204 | 0.5 |
|
| 66 |
+
| 1.9713 | 13.0 | 13 | 1.6956 | 0.5 |
|
| 67 |
+
| 1.9713 | 14.0 | 14 | 1.6602 | 0.5357 |
|
| 68 |
+
| 1.9713 | 15.0 | 15 | 1.6277 | 0.5714 |
|
| 69 |
+
| 1.9713 | 16.0 | 16 | 1.6053 | 0.5 |
|
| 70 |
+
| 1.9713 | 17.0 | 17 | 1.5825 | 0.5 |
|
| 71 |
+
| 1.9713 | 18.0 | 18 | 1.5656 | 0.4286 |
|
| 72 |
+
| 1.9713 | 19.0 | 19 | 1.5616 | 0.4643 |
|
| 73 |
+
| 1.6334 | 20.0 | 20 | 1.5613 | 0.4286 |
|
| 74 |
+
| 1.6334 | 21.0 | 21 | 1.5419 | 0.5 |
|
| 75 |
+
| 1.6334 | 22.0 | 22 | 1.5166 | 0.5357 |
|
| 76 |
+
| 1.6334 | 23.0 | 23 | 1.5088 | 0.5 |
|
| 77 |
+
| 1.6334 | 24.0 | 24 | 1.5052 | 0.5 |
|
| 78 |
+
| 1.6334 | 25.0 | 25 | 1.5012 | 0.5357 |
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
### Framework versions
|
| 82 |
+
|
| 83 |
+
- Transformers 4.18.0
|
| 84 |
+
- Pytorch 1.11.0+cu113
|
| 85 |
+
- Datasets 1.14.0
|
| 86 |
+
- Tokenizers 0.12.1
|