csikasote commited on
Commit
6d2a040
1 Parent(s): e15f9a2

Model save

Browse files
Files changed (2) hide show
  1. README.md +82 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,82 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/wav2vec2-xls-r-1b
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - wer
9
+ model-index:
10
+ - name: xls-r-1b-bem-genbed-all
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
+ # xls-r-1b-bem-genbed-all
18
+
19
+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.2316
22
+ - Wer: 0.7116
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: 5e-05
42
+ - train_batch_size: 4
43
+ - eval_batch_size: 4
44
+ - seed: 42
45
+ - gradient_accumulation_steps: 2
46
+ - total_train_batch_size: 8
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: linear
49
+ - lr_scheduler_warmup_steps: 500
50
+ - num_epochs: 5.0
51
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
56
+ |:-------------:|:------:|:----:|:---------------:|:------:|
57
+ | 4.6827 | 0.2644 | 200 | 2.8347 | 1.0 |
58
+ | 1.0401 | 0.5288 | 400 | 0.5636 | 0.9410 |
59
+ | 0.4289 | 0.7931 | 600 | 0.4018 | 0.9029 |
60
+ | 0.3449 | 1.0575 | 800 | 0.3604 | 0.8771 |
61
+ | 0.2954 | 1.3219 | 1000 | 0.3389 | 0.8741 |
62
+ | 0.2719 | 1.5863 | 1200 | 0.2962 | 0.8439 |
63
+ | 0.2472 | 1.8506 | 1400 | 0.2701 | 0.8053 |
64
+ | 0.2093 | 2.1150 | 1600 | 0.2599 | 0.8285 |
65
+ | 0.1725 | 2.3794 | 1800 | 0.2534 | 0.8375 |
66
+ | 0.1675 | 2.6438 | 2000 | 0.2406 | 0.7691 |
67
+ | 0.1632 | 2.9081 | 2200 | 0.2309 | 0.7616 |
68
+ | 0.1295 | 3.1725 | 2400 | 0.2387 | 0.7557 |
69
+ | 0.1082 | 3.4369 | 2600 | 0.2275 | 0.7329 |
70
+ | 0.1059 | 3.7013 | 2800 | 0.2240 | 0.7329 |
71
+ | 0.1049 | 3.9656 | 3000 | 0.2172 | 0.7294 |
72
+ | 0.0657 | 4.2300 | 3200 | 0.2320 | 0.7220 |
73
+ | 0.059 | 4.4944 | 3400 | 0.2341 | 0.7215 |
74
+ | 0.0582 | 4.7588 | 3600 | 0.2316 | 0.7116 |
75
+
76
+
77
+ ### Framework versions
78
+
79
+ - Transformers 4.45.0.dev0
80
+ - Pytorch 2.4.0+cu121
81
+ - Datasets 2.21.0
82
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:695c07916db7d9ebadfd319fd7863def3d66f4406178623e8df5d48e2c89f024
3
  size 3850244620
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac5d7c088bd5a3da10416d32d85db5f7c8431e48ef4df9264ab5806f5d39b88d
3
  size 3850244620