leofltt commited on
Commit
a549786
1 Parent(s): 6afd06e

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
+ license: mit
3
+ base_model: microsoft/speecht5_tts
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - facebook/voxpopuli
8
+ model-index:
9
+ - name: speecht5_quick_finetuned_voxpopuli_it
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # speecht5_quick_finetuned_voxpopuli_it
17
+
18
+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.4879
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 1e-05
40
+ - train_batch_size: 4
41
+ - eval_batch_size: 2
42
+ - seed: 42
43
+ - gradient_accumulation_steps: 8
44
+ - total_train_batch_size: 32
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: linear
47
+ - lr_scheduler_warmup_steps: 250
48
+ - training_steps: 2500
49
+ - mixed_precision_training: Native AMP
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss |
54
+ |:-------------:|:-----:|:----:|:---------------:|
55
+ | 0.5535 | 1.53 | 250 | 0.5129 |
56
+ | 0.5395 | 3.07 | 500 | 0.5065 |
57
+ | 0.5393 | 4.6 | 750 | 0.4994 |
58
+ | 0.5316 | 6.13 | 1000 | 0.4956 |
59
+ | 0.5372 | 7.66 | 1250 | 0.4919 |
60
+ | 0.53 | 9.2 | 1500 | 0.4914 |
61
+ | 0.5277 | 10.73 | 1750 | 0.4888 |
62
+ | 0.5198 | 12.26 | 2000 | 0.4896 |
63
+ | 0.5236 | 13.79 | 2250 | 0.4880 |
64
+ | 0.5209 | 15.33 | 2500 | 0.4879 |
65
+
66
+
67
+ ### Framework versions
68
+
69
+ - Transformers 4.38.2
70
+ - Pytorch 2.2.1+cu121
71
+ - Datasets 2.18.0
72
+ - Tokenizers 0.15.2
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": "4.38.2"
9
+ }