End of training
Browse files- README.md +77 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: bsd-3-clause
|
| 3 |
+
base_model: minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: ASTie-finetuned-on-shEMO_speech
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# ASTie-finetuned-on-shEMO_speech
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie](https://huggingface.co/minoosh/ast-finetuned-audioset-10-10-0.4593-finetuned-ie) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 1.1646
|
| 21 |
+
- Accuracy: 0.81
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 3e-05
|
| 41 |
+
- train_batch_size: 8
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 32
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 49 |
+
- num_epochs: 15
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 55 |
+
| 0.8071 | 1.0 | 75 | 0.7501 | 0.7933 |
|
| 56 |
+
| 0.6495 | 2.0 | 150 | 0.6482 | 0.78 |
|
| 57 |
+
| 0.2065 | 3.0 | 225 | 0.6468 | 0.82 |
|
| 58 |
+
| 0.0629 | 4.0 | 300 | 0.8847 | 0.78 |
|
| 59 |
+
| 0.014 | 5.0 | 375 | 0.9425 | 0.81 |
|
| 60 |
+
| 0.0086 | 6.0 | 450 | 0.8603 | 0.83 |
|
| 61 |
+
| 0.0017 | 7.0 | 525 | 0.9790 | 0.8367 |
|
| 62 |
+
| 0.0005 | 8.0 | 600 | 0.9910 | 0.8267 |
|
| 63 |
+
| 0.0002 | 9.0 | 675 | 0.9920 | 0.8433 |
|
| 64 |
+
| 0.0067 | 10.0 | 750 | 1.0013 | 0.84 |
|
| 65 |
+
| 0.0001 | 11.0 | 825 | 1.0186 | 0.8433 |
|
| 66 |
+
| 0.0001 | 12.0 | 900 | 1.0189 | 0.8433 |
|
| 67 |
+
| 0.0001 | 13.0 | 975 | 1.0227 | 0.8433 |
|
| 68 |
+
| 0.0038 | 14.0 | 1050 | 1.0279 | 0.8433 |
|
| 69 |
+
| 0.0034 | 15.0 | 1125 | 1.0293 | 0.8433 |
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
### Framework versions
|
| 73 |
+
|
| 74 |
+
- Transformers 4.34.1
|
| 75 |
+
- Pytorch 1.12.0+cu116
|
| 76 |
+
- Datasets 2.14.6
|
| 77 |
+
- Tokenizers 0.14.1
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 344845931
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d46bb4fd3ade21342207f55014ae307a7befda6396467158a967a1ec4a705e6b
|
| 3 |
size 344845931
|