ardneebwar commited on
Commit
d27efe8
1 Parent(s): 885b4a8

End of training

Browse files
Files changed (2) hide show
  1. README.md +70 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/hubert-base-ls960
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: hubert-finetuned-animals
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
+ # hubert-finetuned-animals
17
+
18
+ This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.5596
21
+ - Accuracy: 0.95
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: 5e-05
41
+ - train_batch_size: 8
42
+ - eval_batch_size: 8
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - lr_scheduler_warmup_ratio: 0.1
47
+ - num_epochs: 10
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | 2.1934 | 1.0 | 45 | 2.1765 | 0.3 |
54
+ | 2.0239 | 2.0 | 90 | 1.8169 | 0.45 |
55
+ | 1.7745 | 3.0 | 135 | 1.4817 | 0.65 |
56
+ | 1.3787 | 4.0 | 180 | 1.2497 | 0.75 |
57
+ | 1.2168 | 5.0 | 225 | 1.0048 | 0.85 |
58
+ | 1.0359 | 6.0 | 270 | 0.9969 | 0.775 |
59
+ | 0.7983 | 7.0 | 315 | 0.7467 | 0.9 |
60
+ | 0.7466 | 8.0 | 360 | 0.7698 | 0.85 |
61
+ | 0.6284 | 9.0 | 405 | 0.6097 | 0.9 |
62
+ | 0.8365 | 10.0 | 450 | 0.5596 | 0.95 |
63
+
64
+
65
+ ### Framework versions
66
+
67
+ - Transformers 4.33.2
68
+ - Pytorch 2.0.1+cu118
69
+ - Datasets 2.14.5
70
+ - Tokenizers 0.13.3
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cedfa9774256ac764d652792e6bfe3c2a37f01729de2c7ae97ca26dc7a744342
3
  size 378358249
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:28b05831273b698005d6f218a83344d224e1a8c40f8ca82618124606e188dd5e
3
  size 378358249