Bolakubus commited on
Commit
5e22908
1 Parent(s): da00bb2

End of training

Browse files
Files changed (2) hide show
  1. README.md +47 -182
  2. generation_config.json +9 -0
README.md CHANGED
@@ -1,204 +1,69 @@
1
  ---
 
 
2
  license: mit
 
 
 
 
3
  datasets:
4
  - facebook/voxpopuli
5
- language:
6
- - nl
7
- pipeline_tag: text-to-speech
8
  ---
9
- # Model Card for Model ID
10
-
11
- <!-- Provide a quick summary of what the model is/does. -->
12
-
13
- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
14
-
15
- ## Model Details
16
-
17
- ### Model Description
18
-
19
- <!-- Provide a longer summary of what this model is. -->
20
-
21
-
22
-
23
- - **Developed by:** [More Information Needed]
24
- - **Funded by [optional]:** [More Information Needed]
25
- - **Shared by [optional]:** [More Information Needed]
26
- - **Model type:** [More Information Needed]
27
- - **Language(s) (NLP):** [More Information Needed]
28
- - **License:** [More Information Needed]
29
- - **Finetuned from model [optional]:** [More Information Needed]
30
-
31
- ### Model Sources [optional]
32
-
33
- <!-- Provide the basic links for the model. -->
34
-
35
- - **Repository:** [More Information Needed]
36
- - **Paper [optional]:** [More Information Needed]
37
- - **Demo [optional]:** [More Information Needed]
38
-
39
- ## Uses
40
-
41
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
42
-
43
- ### Direct Use
44
-
45
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
46
-
47
- [More Information Needed]
48
-
49
- ### Downstream Use [optional]
50
-
51
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
52
-
53
- [More Information Needed]
54
-
55
- ### Out-of-Scope Use
56
-
57
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
58
-
59
- [More Information Needed]
60
-
61
- ## Bias, Risks, and Limitations
62
-
63
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
64
-
65
- [More Information Needed]
66
-
67
- ### Recommendations
68
-
69
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
70
-
71
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
72
-
73
- ## How to Get Started with the Model
74
-
75
- Use the code below to get started with the model.
76
-
77
- [More Information Needed]
78
-
79
- ## Training Details
80
-
81
- ### Training Data
82
-
83
- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
84
-
85
- [More Information Needed]
86
-
87
- ### Training Procedure
88
-
89
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
90
-
91
- #### Preprocessing [optional]
92
-
93
- [More Information Needed]
94
-
95
-
96
- #### Training Hyperparameters
97
-
98
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
99
-
100
- #### Speeds, Sizes, Times [optional]
101
-
102
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
103
-
104
- [More Information Needed]
105
-
106
- ## Evaluation
107
-
108
- <!-- This section describes the evaluation protocols and provides the results. -->
109
-
110
- ### Testing Data, Factors & Metrics
111
-
112
- #### Testing Data
113
-
114
- <!-- This should link to a Dataset Card if possible. -->
115
-
116
- [More Information Needed]
117
-
118
- #### Factors
119
-
120
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
121
-
122
- [More Information Needed]
123
-
124
- #### Metrics
125
-
126
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
127
-
128
- [More Information Needed]
129
-
130
- ### Results
131
-
132
- [More Information Needed]
133
-
134
- #### Summary
135
-
136
-
137
-
138
- ## Model Examination [optional]
139
-
140
- <!-- Relevant interpretability work for the model goes here -->
141
-
142
- [More Information Needed]
143
-
144
- ## Environmental Impact
145
-
146
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
147
-
148
- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
149
-
150
- - **Hardware Type:** [More Information Needed]
151
- - **Hours used:** [More Information Needed]
152
- - **Cloud Provider:** [More Information Needed]
153
- - **Compute Region:** [More Information Needed]
154
- - **Carbon Emitted:** [More Information Needed]
155
-
156
- ## Technical Specifications [optional]
157
-
158
- ### Model Architecture and Objective
159
-
160
- [More Information Needed]
161
-
162
- ### Compute Infrastructure
163
-
164
- [More Information Needed]
165
-
166
- #### Hardware
167
-
168
- [More Information Needed]
169
-
170
- #### Software
171
-
172
- [More Information Needed]
173
 
174
- ## Citation [optional]
 
175
 
176
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
177
 
178
- **BibTeX:**
 
 
179
 
180
- [More Information Needed]
181
 
182
- **APA:**
183
 
184
- [More Information Needed]
185
 
186
- ## Glossary [optional]
187
 
188
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
189
 
190
- [More Information Needed]
191
 
192
- ## More Information [optional]
193
 
194
- [More Information Needed]
195
 
196
- ## Model Card Authors [optional]
 
 
 
 
 
 
 
 
 
 
 
 
197
 
198
- [More Information Needed]
199
 
200
- ## Model Card Contact
 
 
 
 
201
 
202
- [More Information Needed]
203
 
 
204
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - nl
4
  license: mit
5
+ base_model: microsoft/speecht5_tts
6
+ tags:
7
+ - text-to-speech
8
+ - generated_from_trainer
9
  datasets:
10
  - facebook/voxpopuli
11
+ model-index:
12
+ - name: Bolakubus/speecht5_finetuned_voxpopuli_nl
13
+ results: []
14
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
 
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
 
19
+ # Bolakubus/speecht5_finetuned_voxpopuli_nl
20
 
21
+ This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.4506
24
 
25
+ ## Model description
26
 
27
+ More information needed
28
 
29
+ ## Intended uses & limitations
30
 
31
+ More information needed
32
 
33
+ ## Training and evaluation data
34
 
35
+ More information needed
36
 
37
+ ## Training procedure
38
 
39
+ ### Training hyperparameters
40
 
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 3e-05
43
+ - train_batch_size: 4
44
+ - eval_batch_size: 2
45
+ - seed: 42
46
+ - gradient_accumulation_steps: 8
47
+ - total_train_batch_size: 32
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - lr_scheduler_warmup_ratio: 0.1
51
+ - lr_scheduler_warmup_steps: 500
52
+ - training_steps: 3000
53
+ - mixed_precision_training: Native AMP
54
 
55
+ ### Training results
56
 
57
+ | Training Loss | Epoch | Step | Validation Loss |
58
+ |:-------------:|:-----:|:----:|:---------------:|
59
+ | 0.4998 | 4.3 | 1000 | 0.4638 |
60
+ | 0.4741 | 8.61 | 2000 | 0.4529 |
61
+ | 0.4747 | 12.91 | 3000 | 0.4506 |
62
 
 
63
 
64
+ ### Framework versions
65
 
66
+ - Transformers 4.35.0.dev0
67
+ - Pytorch 2.0.1+cu118
68
+ - Datasets 2.14.5
69
+ - Tokenizers 0.14.1
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": "4.35.0.dev0"
9
+ }