End of training
Browse files- README.md +77 -0
- pytorch_model.bin +1 -1
README.md
ADDED
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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: wav2vec2-base-finetuned-ie
|
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 |
+
# wav2vec2-base-finetuned-ie
|
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: 1.0843
|
21 |
+
- Accuracy: 0.6511
|
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 |
+
| 1.1746 | 1.0 | 102 | 1.1532 | 0.4811 |
|
56 |
+
| 0.9955 | 2.0 | 204 | 1.0070 | 0.5761 |
|
57 |
+
| 0.8048 | 3.0 | 306 | 0.9764 | 0.6052 |
|
58 |
+
| 0.5933 | 4.0 | 408 | 1.1020 | 0.5975 |
|
59 |
+
| 0.4987 | 5.0 | 510 | 1.1877 | 0.5984 |
|
60 |
+
| 0.401 | 6.0 | 612 | 1.1034 | 0.6334 |
|
61 |
+
| 0.3613 | 7.0 | 714 | 1.0424 | 0.6780 |
|
62 |
+
| 0.2304 | 8.0 | 816 | 1.1990 | 0.6673 |
|
63 |
+
| 0.2553 | 9.0 | 918 | 1.2547 | 0.6605 |
|
64 |
+
| 0.1737 | 10.0 | 1020 | 1.5981 | 0.6149 |
|
65 |
+
| 0.1438 | 11.0 | 1122 | 1.4178 | 0.6770 |
|
66 |
+
| 0.0917 | 12.0 | 1224 | 1.6137 | 0.6576 |
|
67 |
+
| 0.0446 | 13.0 | 1326 | 1.7111 | 0.6557 |
|
68 |
+
| 0.0397 | 14.0 | 1428 | 1.7771 | 0.6392 |
|
69 |
+
| 0.0169 | 15.0 | 1530 | 1.7484 | 0.6508 |
|
70 |
+
|
71 |
+
|
72 |
+
### Framework versions
|
73 |
+
|
74 |
+
- Transformers 4.34.0
|
75 |
+
- Pytorch 2.0.1+cu118
|
76 |
+
- Datasets 2.14.5
|
77 |
+
- Tokenizers 0.14.0
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 378352489
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b39b96391ab53f8051570f451717acde3841c78f0f9ffbf8d92ec47722d2526b
|
3 |
size 378352489
|