Model save
Browse files- README.md +78 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: facebook/wav2vec2-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: SeizureClassifier_Wav2Vec_B_43828665
|
| 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 |
+
# SeizureClassifier_Wav2Vec_B_43828665
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.0355
|
| 21 |
+
- Accuracy: 0.9950
|
| 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: 16
|
| 42 |
+
- eval_batch_size: 16
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 64
|
| 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 |
+
- mixed_precision_training: Native AMP
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 55 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 56 |
+
| 1.1208 | 0.99 | 44 | 0.9389 | 0.8441 |
|
| 57 |
+
| 0.6807 | 1.99 | 88 | 0.5630 | 0.8911 |
|
| 58 |
+
| 0.3684 | 2.98 | 132 | 0.3547 | 0.9332 |
|
| 59 |
+
| 0.2786 | 4.0 | 177 | 0.2168 | 0.9678 |
|
| 60 |
+
| 0.1849 | 4.99 | 221 | 0.2235 | 0.9530 |
|
| 61 |
+
| 0.1888 | 5.99 | 265 | 0.1294 | 0.9802 |
|
| 62 |
+
| 0.1201 | 6.98 | 309 | 0.1461 | 0.9703 |
|
| 63 |
+
| 0.1017 | 8.0 | 354 | 0.1188 | 0.9777 |
|
| 64 |
+
| 0.0972 | 8.99 | 398 | 0.1194 | 0.9752 |
|
| 65 |
+
| 0.0819 | 9.99 | 442 | 0.0872 | 0.9851 |
|
| 66 |
+
| 0.0518 | 10.98 | 486 | 0.0550 | 0.9851 |
|
| 67 |
+
| 0.0604 | 12.0 | 531 | 0.0327 | 0.9975 |
|
| 68 |
+
| 0.0267 | 12.99 | 575 | 0.0542 | 0.9926 |
|
| 69 |
+
| 0.019 | 13.99 | 619 | 0.0354 | 0.9926 |
|
| 70 |
+
| 0.0167 | 14.92 | 660 | 0.0355 | 0.9950 |
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
### Framework versions
|
| 74 |
+
|
| 75 |
+
- Transformers 4.36.2
|
| 76 |
+
- Pytorch 2.1.2+cu118
|
| 77 |
+
- Datasets 2.16.1
|
| 78 |
+
- Tokenizers 0.15.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378304424
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc85ac0c74b4d1a7f70c8400cd208c039d70d98ba9f73c52c1550676e311239f
|
| 3 |
size 378304424
|