EYEDOL commited on
Commit
db7bdcd
·
verified ·
1 Parent(s): 506be5d

End of training

Browse files
README.md ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ language:
4
+ - sw
5
+ base_model: EYEDOL/FROM_C3_NEW1
6
+ tags:
7
+ - hf-asr-leaderboard
8
+ - generated_from_trainer
9
+ datasets:
10
+ - mozilla-foundation/common_voice_13_0
11
+ metrics:
12
+ - wer
13
+ model-index:
14
+ - name: ASR_FROM_C3_NEW
15
+ results:
16
+ - task:
17
+ name: Automatic Speech Recognition
18
+ type: automatic-speech-recognition
19
+ dataset:
20
+ name: Common Voice 13.0
21
+ type: mozilla-foundation/common_voice_13_0
22
+ config: sw
23
+ split: None
24
+ args: 'config: sw, split: test'
25
+ metrics:
26
+ - name: Wer
27
+ type: wer
28
+ value: 16.764359847052397
29
+ ---
30
+
31
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
32
+ should probably proofread and complete it, then remove this comment. -->
33
+
34
+ # ASR_FROM_C3_NEW
35
+
36
+ This model is a fine-tuned version of [EYEDOL/FROM_C3_NEW1](https://huggingface.co/EYEDOL/FROM_C3_NEW1) on the Common Voice 13.0 dataset.
37
+ It achieves the following results on the evaluation set:
38
+ - Loss: 0.2171
39
+ - Wer: 16.7644
40
+
41
+ ## Model description
42
+
43
+ More information needed
44
+
45
+ ## Intended uses & limitations
46
+
47
+ More information needed
48
+
49
+ ## Training and evaluation data
50
+
51
+ More information needed
52
+
53
+ ## Training procedure
54
+
55
+ ### Training hyperparameters
56
+
57
+ The following hyperparameters were used during training:
58
+ - learning_rate: 1e-05
59
+ - train_batch_size: 16
60
+ - eval_batch_size: 8
61
+ - seed: 42
62
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
63
+ - lr_scheduler_type: linear
64
+ - lr_scheduler_warmup_steps: 500
65
+ - num_epochs: 1
66
+ - mixed_precision_training: Native AMP
67
+
68
+ ### Training results
69
+
70
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
71
+ |:-------------:|:------:|:----:|:---------------:|:-------:|
72
+ | 0.0665 | 0.6918 | 2000 | 0.2171 | 16.7644 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - Transformers 4.52.4
78
+ - Pytorch 2.6.0+cu124
79
+ - Datasets 3.6.0
80
+ - Tokenizers 0.21.2
generation_config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 50257,
3
+ "decoder_start_token_id": 50258,
4
+ "eos_token_id": 50257,
5
+ "lang_to_id": {
6
+ "sw": 50357
7
+ },
8
+ "language": "sw",
9
+ "pad_token_id": 50257,
10
+ "task": "transcribe",
11
+ "task_to_id": {
12
+ "transcribe": 50359,
13
+ "translate": 50358
14
+ },
15
+ "transformers_version": "4.52.4",
16
+ "use_cache": false
17
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4923c1e2079e40edb3ff7b6431ad7ec37935d5e6ef73c1e710add0f407c8ef02
3
  size 966995080
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83fe16b5e0c633481bdab79a86dd506b62d3926e092624ad0f84f8ad154822ca
3
  size 966995080
runs/Aug15_11-25-34_d45ab842c30c/events.out.tfevents.1755257139.d45ab842c30c.19.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c179a1838a48b1b550a9c361b67f82f190a661657dfe22b3124c8c24c367190c
3
- size 6182
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:84f12475868a4508b6e7ca8878b10edd4e99799427c75ccc95c728cebc6daac6
3
+ size 6536