mikhail-panzo commited on
Commit
1179df4
1 Parent(s): fef8ce6

End of training

Browse files
Files changed (2) hide show
  1. README.md +76 -0
  2. generation_config.json +9 -0
README.md ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: microsoft/speecht5_tts
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: zlm_b128_le5_s8000
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # zlm_b128_le5_s8000
15
+
16
+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.3566
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 1e-05
38
+ - train_batch_size: 32
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - gradient_accumulation_steps: 4
42
+ - total_train_batch_size: 128
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - lr_scheduler_warmup_steps: 2000
46
+ - training_steps: 8000
47
+ - mixed_precision_training: Native AMP
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss |
52
+ |:-------------:|:-------:|:----:|:---------------:|
53
+ | 0.4378 | 0.8375 | 500 | 0.3956 |
54
+ | 0.4328 | 1.6750 | 1000 | 0.3922 |
55
+ | 0.4228 | 2.5126 | 1500 | 0.3871 |
56
+ | 0.4179 | 3.3501 | 2000 | 0.3843 |
57
+ | 0.409 | 4.1876 | 2500 | 0.3769 |
58
+ | 0.41 | 5.0251 | 3000 | 0.3739 |
59
+ | 0.4003 | 5.8626 | 3500 | 0.3709 |
60
+ | 0.4052 | 6.7002 | 4000 | 0.3680 |
61
+ | 0.397 | 7.5377 | 4500 | 0.3636 |
62
+ | 0.4007 | 8.3752 | 5000 | 0.3615 |
63
+ | 0.4022 | 9.2127 | 5500 | 0.3612 |
64
+ | 0.3896 | 10.0503 | 6000 | 0.3601 |
65
+ | 0.3911 | 10.8878 | 6500 | 0.3577 |
66
+ | 0.3949 | 11.7253 | 7000 | 0.3584 |
67
+ | 0.3948 | 12.5628 | 7500 | 0.3568 |
68
+ | 0.3877 | 13.4003 | 8000 | 0.3566 |
69
+
70
+
71
+ ### Framework versions
72
+
73
+ - Transformers 4.41.0.dev0
74
+ - Pytorch 2.2.1+cu121
75
+ - Datasets 2.19.0
76
+ - Tokenizers 0.19.1
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": "4.41.0.dev0"
9
+ }