ar5entum commited on
Commit
101b351
·
verified ·
1 Parent(s): c9aecda

Model save

Browse files
README.md ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/wav2vec2-base
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: wav2vec2-base-lang-id
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # wav2vec2-base-lang-id
18
+
19
+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.0127
22
+ - Accuracy: 0.998
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 4e-05
42
+ - train_batch_size: 24
43
+ - eval_batch_size: 4
44
+ - seed: 0
45
+ - distributed_type: multi-GPU
46
+ - gradient_accumulation_steps: 2
47
+ - total_train_batch_size: 48
48
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
49
+ - lr_scheduler_type: linear
50
+ - lr_scheduler_warmup_ratio: 0.1
51
+ - lr_scheduler_warmup_steps: 200
52
+ - num_epochs: 5.0
53
+ - mixed_precision_training: Native AMP
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
58
+ |:-------------:|:------:|:----:|:---------------:|:--------:|
59
+ | 0.0677 | 1.0 | 601 | 0.0297 | 0.9935 |
60
+ | 0.0345 | 2.0 | 1202 | 0.0362 | 0.9935 |
61
+ | 0.013 | 3.0 | 1803 | 0.0151 | 0.997 |
62
+ | 0.0003 | 4.0 | 2404 | 0.0134 | 0.998 |
63
+ | 0.0003 | 4.9925 | 3000 | 0.0127 | 0.998 |
64
+
65
+
66
+ ### Framework versions
67
+
68
+ - Transformers 4.47.1
69
+ - Pytorch 2.5.1+cu121
70
+ - Datasets 3.2.0
71
+ - Tokenizers 0.21.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0e6c0bb41a539ef3dee4d3a572ce3641c152b4140884448120cdc6c0a8c551f5
3
  size 378303396
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80cf8fe3006c03d33b344ce6e3ba7e9dc50c1791e3883ac8dca154a415e1536f
3
  size 378303396
runs/Jan15_09-44-36_6da9dd5ea643/events.out.tfevents.1736934278.6da9dd5ea643.11685.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c224134028ee69c29b0fae07faf7f2ff5031aa30480bf534de0b8f01f2f58c3e
3
- size 71477
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22715f4325c2f51a978477fe6282d0c44ffde6b90dd14ebb9c6f23b793d2a9aa
3
+ size 72154