princelabhem
commited on
Commit
•
8970884
1
Parent(s):
74ad3dc
End of training
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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: Audioclasswindows
|
| 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 |
+
# Audioclasswindows
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 2.6744
|
| 21 |
+
- Accuracy: 0.0796
|
| 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: 32
|
| 42 |
+
- eval_batch_size: 32
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 128
|
| 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: 16
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 55 |
+
| No log | 0.8 | 3 | 2.6364 | 0.1062 |
|
| 56 |
+
| No log | 1.87 | 7 | 2.6465 | 0.0442 |
|
| 57 |
+
| 2.6363 | 2.93 | 11 | 2.6420 | 0.0973 |
|
| 58 |
+
| 2.6363 | 4.0 | 15 | 2.6543 | 0.0796 |
|
| 59 |
+
| 2.6363 | 4.8 | 18 | 2.6579 | 0.0885 |
|
| 60 |
+
| 2.6244 | 5.87 | 22 | 2.6587 | 0.0885 |
|
| 61 |
+
| 2.6244 | 6.93 | 26 | 2.6608 | 0.0885 |
|
| 62 |
+
| 2.6103 | 8.0 | 30 | 2.6632 | 0.0796 |
|
| 63 |
+
| 2.6103 | 8.8 | 33 | 2.6664 | 0.0796 |
|
| 64 |
+
| 2.6103 | 9.87 | 37 | 2.6692 | 0.0796 |
|
| 65 |
+
| 2.6019 | 10.93 | 41 | 2.6722 | 0.0796 |
|
| 66 |
+
| 2.6019 | 12.0 | 45 | 2.6740 | 0.0796 |
|
| 67 |
+
| 2.6019 | 12.8 | 48 | 2.6744 | 0.0796 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.35.2
|
| 73 |
+
- Pytorch 2.1.0+cu121
|
| 74 |
+
- Datasets 2.16.1
|
| 75 |
+
- 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 378314704
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:910308c5c576dc122340dbe0997a397cb3bc063d6c096ad14615190132ce695f
|
| 3 |
size 378314704
|
runs/Jan11_06-09-25_6913ca409f80/events.out.tfevents.1704953366.6913ca409f80.674.1
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5904c069c1affad33764767e4dd18ab0e29fc01b0ee9af89e427bafc71a77de6
|
| 3 |
+
size 11717
|