Ponyyyy commited on
Commit
a1ed6d7
1 Parent(s): 84c03f4

End of training

Browse files
Files changed (2) hide show
  1. README.md +80 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: jonatasgrosman/wav2vec2-large-xlsr-53-french
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - minds14
8
+ metrics:
9
+ - wer
10
+ model-index:
11
+ - name: French_asr_model
12
+ results:
13
+ - task:
14
+ name: Automatic Speech Recognition
15
+ type: automatic-speech-recognition
16
+ dataset:
17
+ name: minds14
18
+ type: minds14
19
+ config: fr-FR
20
+ split: None
21
+ args: fr-FR
22
+ metrics:
23
+ - name: Wer
24
+ type: wer
25
+ value: 0.3484848484848485
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # French_asr_model
32
+
33
+ This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-french](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-french) on the minds14 dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 1.2408
36
+ - Wer: 0.3485
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 0.0001
56
+ - train_batch_size: 8
57
+ - eval_batch_size: 8
58
+ - seed: 42
59
+ - gradient_accumulation_steps: 2
60
+ - total_train_batch_size: 16
61
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
+ - lr_scheduler_type: linear
63
+ - lr_scheduler_warmup_steps: 250
64
+ - training_steps: 1000
65
+ - mixed_precision_training: Native AMP
66
+
67
+ ### Training results
68
+
69
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
70
+ |:-------------:|:--------:|:----:|:---------------:|:------:|
71
+ | 0.0049 | 333.3333 | 500 | 1.1485 | 0.3485 |
72
+ | 0.0015 | 666.6667 | 1000 | 1.2408 | 0.3485 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - Transformers 4.40.0
78
+ - Pytorch 2.2.1+cu121
79
+ - Datasets 2.19.0
80
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5606dbefd3040cfa87c53b0257d32e7238dd53a8aa425b3bea09a55caeffa737
3
  size 1262049380
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8663d3215eeb23061feb3eb4e7def39de434249065034508d5524fe9ba2a7432
3
  size 1262049380