amin-oj commited on
Commit
c487131
·
verified ·
1 Parent(s): e1463b9

End of training

Browse files
Files changed (2) hide show
  1. README.md +72 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/wav2vec2-base-960h
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - wer
9
+ model-index:
10
+ - name: wav2vec2-base-960h-finetuned-asr-PolyAI_minds14-en-US
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-960h-finetuned-asr-PolyAI_minds14-en-US
18
+
19
+ This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 1.6485
22
+ - Wer: 0.3319
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: 1e-05
42
+ - train_batch_size: 8
43
+ - eval_batch_size: 8
44
+ - seed: 42
45
+ - gradient_accumulation_steps: 2
46
+ - total_train_batch_size: 16
47
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: linear
49
+ - lr_scheduler_warmup_steps: 125
50
+ - training_steps: 500
51
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
56
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
57
+ | 1.5518 | 12.4 | 62 | 1.5976 | 0.4723 |
58
+ | 1.0477 | 24.8 | 124 | 1.1343 | 0.3617 |
59
+ | 0.7908 | 37.2 | 186 | 1.5092 | 0.3447 |
60
+ | 0.6269 | 49.6 | 248 | 1.5146 | 0.3617 |
61
+ | 0.5075 | 62.0 | 310 | 1.4677 | 0.3574 |
62
+ | 0.4534 | 74.4 | 372 | 1.5825 | 0.3191 |
63
+ | 0.4621 | 86.8 | 434 | 1.6253 | 0.3191 |
64
+ | 0.4314 | 99.2 | 496 | 1.6485 | 0.3319 |
65
+
66
+
67
+ ### Framework versions
68
+
69
+ - Transformers 4.57.1
70
+ - Pytorch 2.8.0+cu126
71
+ - Datasets 4.4.2
72
+ - Tokenizers 0.22.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f70e3a9ae5c0daaa65ee841f3bbcd8d7e04fa12b30f2bc1a07434cd473920999
3
  size 377611120
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af9b7aa35e682c1397361ce76afdb177b20832ac93c008da3546feeca2208573
3
  size 377611120