monideep2255 commited on
Commit
3dd7748
·
1 Parent(s): fcdfb9e

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +66 -0
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: batch_size_4
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # batch_size_4
14
+
15
+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 1.5806
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 0.0003
37
+ - train_batch_size: 4
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - gradient_accumulation_steps: 2
41
+ - total_train_batch_size: 8
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: linear
44
+ - lr_scheduler_warmup_steps: 200
45
+ - num_epochs: 30
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss |
50
+ |:-------------:|:-----:|:----:|:---------------:|
51
+ | 12.4967 | 3.36 | 200 | 3.6996 |
52
+ | 3.7 | 6.72 | 400 | 3.5820 |
53
+ | 3.5581 | 10.08 | 600 | 3.2334 |
54
+ | 2.7618 | 13.45 | 800 | 2.2745 |
55
+ | 1.7252 | 16.81 | 1000 | 1.6220 |
56
+ | 1.0954 | 20.17 | 1200 | 1.6073 |
57
+ | 0.7551 | 23.53 | 1400 | 1.6130 |
58
+ | 0.5615 | 26.89 | 1600 | 1.5806 |
59
+
60
+
61
+ ### Framework versions
62
+
63
+ - Transformers 4.28.0
64
+ - Pytorch 2.0.1
65
+ - Datasets 2.12.0
66
+ - Tokenizers 0.13.2