Shabdobhedi
commited on
End of training
Browse files- README.md +81 -0
- generation_config.json +9 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: mit
|
4 |
+
base_model: microsoft/speecht5_tts
|
5 |
+
tags:
|
6 |
+
- generated_from_trainer
|
7 |
+
model-index:
|
8 |
+
- name: speecht5_finetuned_English_Technical_Shabdobhedii
|
9 |
+
results: []
|
10 |
+
---
|
11 |
+
|
12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
+
should probably proofread and complete it, then remove this comment. -->
|
14 |
+
|
15 |
+
# speecht5_finetuned_English_Technical_Shabdobhedii
|
16 |
+
|
17 |
+
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
|
18 |
+
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.4435
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 0.0001
|
39 |
+
- train_batch_size: 4
|
40 |
+
- eval_batch_size: 2
|
41 |
+
- seed: 42
|
42 |
+
- gradient_accumulation_steps: 8
|
43 |
+
- total_train_batch_size: 32
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- lr_scheduler_warmup_steps: 100
|
47 |
+
- training_steps: 2000
|
48 |
+
- mixed_precision_training: Native AMP
|
49 |
+
|
50 |
+
### Training results
|
51 |
+
|
52 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
53 |
+
|:-------------:|:------:|:----:|:---------------:|
|
54 |
+
| 0.5915 | 0.3581 | 100 | 0.5128 |
|
55 |
+
| 0.5448 | 0.7162 | 200 | 0.4945 |
|
56 |
+
| 0.5195 | 1.0743 | 300 | 0.4740 |
|
57 |
+
| 0.5109 | 1.4324 | 400 | 0.4754 |
|
58 |
+
| 0.5023 | 1.7905 | 500 | 0.4648 |
|
59 |
+
| 0.4995 | 2.1486 | 600 | 0.4661 |
|
60 |
+
| 0.4987 | 2.5067 | 700 | 0.4591 |
|
61 |
+
| 0.4931 | 2.8648 | 800 | 0.4574 |
|
62 |
+
| 0.4776 | 3.2229 | 900 | 0.4572 |
|
63 |
+
| 0.4798 | 3.5810 | 1000 | 0.4516 |
|
64 |
+
| 0.4786 | 3.9391 | 1100 | 0.4479 |
|
65 |
+
| 0.4668 | 4.2972 | 1200 | 0.4504 |
|
66 |
+
| 0.4714 | 4.6553 | 1300 | 0.4468 |
|
67 |
+
| 0.4717 | 5.0134 | 1400 | 0.4463 |
|
68 |
+
| 0.4662 | 5.3715 | 1500 | 0.4498 |
|
69 |
+
| 0.4637 | 5.7296 | 1600 | 0.4461 |
|
70 |
+
| 0.455 | 6.0877 | 1700 | 0.4474 |
|
71 |
+
| 0.4551 | 6.4458 | 1800 | 0.4451 |
|
72 |
+
| 0.462 | 6.8039 | 1900 | 0.4420 |
|
73 |
+
| 0.4511 | 7.1620 | 2000 | 0.4435 |
|
74 |
+
|
75 |
+
|
76 |
+
### Framework versions
|
77 |
+
|
78 |
+
- Transformers 4.44.2
|
79 |
+
- Pytorch 2.4.1+cu121
|
80 |
+
- Datasets 3.0.1
|
81 |
+
- 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": "4.44.2"
|
9 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 577789320
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cb19e51744022a40e64f2ad949ea220df76ea65fe64bb086c46cf231f0616c4a
|
3 |
size 577789320
|