setthika commited on
Commit
d86a910
·
verified ·
1 Parent(s): 9f65351

End of training

Browse files
Files changed (2) hide show
  1. README.md +72 -0
  2. generation_config.json +9 -0
README.md ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: mit
4
+ base_model: microsoft/speecht5_tts
5
+ tags:
6
+ - generated_from_trainer
7
+ datasets:
8
+ - voxpopuli
9
+ model-index:
10
+ - name: checkpoint
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
+ # checkpoint
18
+
19
+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.4609
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 0.0001
41
+ - train_batch_size: 4
42
+ - eval_batch_size: 2
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 8
45
+ - total_train_batch_size: 32
46
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
47
+ - lr_scheduler_type: linear
48
+ - lr_scheduler_warmup_steps: 100
49
+ - training_steps: 900
50
+ - mixed_precision_training: Native AMP
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss |
55
+ |:-------------:|:------:|:----:|:---------------:|
56
+ | 0.4918 | 0.7188 | 100 | 0.4853 |
57
+ | 0.4883 | 1.4313 | 200 | 0.4813 |
58
+ | 0.468 | 2.1438 | 300 | 0.4766 |
59
+ | 0.4826 | 2.8625 | 400 | 0.4665 |
60
+ | 0.4843 | 3.5750 | 500 | 0.4688 |
61
+ | 0.4743 | 4.2875 | 600 | 0.4632 |
62
+ | 0.4607 | 5.0 | 700 | 0.4627 |
63
+ | 0.4699 | 5.7188 | 800 | 0.4623 |
64
+ | 0.4668 | 6.4313 | 900 | 0.4609 |
65
+
66
+
67
+ ### Framework versions
68
+
69
+ - Transformers 4.51.3
70
+ - Pytorch 2.6.0+cu124
71
+ - Datasets 3.6.0
72
+ - Tokenizers 0.21.1
generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "decoder_start_token_id": 2,
5
+ "eos_token_id": 2,
6
+ "max_length": 1876,
7
+ "pad_token_id": 1,
8
+ "transformers_version": "4.51.3"
9
+ }