rasyosef commited on
Commit
831eba9
1 Parent(s): c530f79

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +54 -194
README.md CHANGED
@@ -1,199 +1,59 @@
1
  ---
 
 
 
 
 
 
 
 
 
 
 
2
  library_name: transformers
3
- tags: []
4
  ---
5
 
6
- # Model Card for Model ID
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
 
8
- <!-- Provide a quick summary of what the model is/does. -->
9
-
10
-
11
-
12
- ## Model Details
13
-
14
- ### Model Description
15
-
16
- <!-- Provide a longer summary of what this model is. -->
17
-
18
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
-
20
- - **Developed by:** [More Information Needed]
21
- - **Funded by [optional]:** [More Information Needed]
22
- - **Shared by [optional]:** [More Information Needed]
23
- - **Model type:** [More Information Needed]
24
- - **Language(s) (NLP):** [More Information Needed]
25
- - **License:** [More Information Needed]
26
- - **Finetuned from model [optional]:** [More Information Needed]
27
-
28
- ### Model Sources [optional]
29
-
30
- <!-- Provide the basic links for the model. -->
31
-
32
- - **Repository:** [More Information Needed]
33
- - **Paper [optional]:** [More Information Needed]
34
- - **Demo [optional]:** [More Information Needed]
35
-
36
- ## Uses
37
-
38
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
-
40
- ### Direct Use
41
-
42
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
-
44
- [More Information Needed]
45
-
46
- ### Downstream Use [optional]
47
-
48
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
-
50
- [More Information Needed]
51
-
52
- ### Out-of-Scope Use
53
-
54
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
-
56
- [More Information Needed]
57
-
58
- ## Bias, Risks, and Limitations
59
-
60
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
-
62
- [More Information Needed]
63
-
64
- ### Recommendations
65
-
66
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
-
68
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
-
70
- ## How to Get Started with the Model
71
-
72
- Use the code below to get started with the model.
73
-
74
- [More Information Needed]
75
-
76
- ## Training Details
77
-
78
- ### Training Data
79
-
80
- <!-- 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. -->
81
-
82
- [More Information Needed]
83
-
84
- ### Training Procedure
85
-
86
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
-
88
- #### Preprocessing [optional]
89
-
90
- [More Information Needed]
91
-
92
-
93
- #### Training Hyperparameters
94
-
95
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
-
97
- #### Speeds, Sizes, Times [optional]
98
-
99
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
-
101
- [More Information Needed]
102
-
103
- ## Evaluation
104
-
105
- <!-- This section describes the evaluation protocols and provides the results. -->
106
-
107
- ### Testing Data, Factors & Metrics
108
-
109
- #### Testing Data
110
-
111
- <!-- This should link to a Dataset Card if possible. -->
112
-
113
- [More Information Needed]
114
-
115
- #### Factors
116
-
117
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
-
119
- [More Information Needed]
120
-
121
- #### Metrics
122
-
123
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
-
125
- [More Information Needed]
126
-
127
- ### Results
128
-
129
- [More Information Needed]
130
-
131
- #### Summary
132
-
133
-
134
-
135
- ## Model Examination [optional]
136
-
137
- <!-- Relevant interpretability work for the model goes here -->
138
-
139
- [More Information Needed]
140
-
141
- ## Environmental Impact
142
-
143
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
-
145
- 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).
146
-
147
- - **Hardware Type:** [More Information Needed]
148
- - **Hours used:** [More Information Needed]
149
- - **Cloud Provider:** [More Information Needed]
150
- - **Compute Region:** [More Information Needed]
151
- - **Carbon Emitted:** [More Information Needed]
152
-
153
- ## Technical Specifications [optional]
154
-
155
- ### Model Architecture and Objective
156
-
157
- [More Information Needed]
158
-
159
- ### Compute Infrastructure
160
-
161
- [More Information Needed]
162
-
163
- #### Hardware
164
-
165
- [More Information Needed]
166
-
167
- #### Software
168
-
169
- [More Information Needed]
170
-
171
- ## Citation [optional]
172
-
173
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
-
175
- **BibTeX:**
176
-
177
- [More Information Needed]
178
-
179
- **APA:**
180
-
181
- [More Information Needed]
182
-
183
- ## Glossary [optional]
184
-
185
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
-
187
- [More Information Needed]
188
-
189
- ## More Information [optional]
190
-
191
- [More Information Needed]
192
-
193
- ## Model Card Authors [optional]
194
-
195
- [More Information Needed]
196
-
197
- ## Model Card Contact
198
-
199
- [More Information Needed]
 
1
  ---
2
+ widget:
3
+ - text: አዲስ አበባ
4
+ example_title: Example 1
5
+ - text: በኢንግሊዝ ፕሪምየር ሊግ
6
+ example_title: Example 2
7
+ - text: ዶናልድ ትራምፕ
8
+ example_title: Example 3
9
+ language:
10
+ - am
11
+ metrics:
12
+ - perplexity
13
  library_name: transformers
14
+ pipeline_tag: text-generation
15
  ---
16
 
17
+ # Llama 3.2 180M Amharic
18
+
19
+ This is a smaller version of the Meta's [Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) decoder transformer model pretrained from scratch for **3 days** on **210 million tokens** of **Amharic** text.
20
+
21
+ - It has **180 Million parameters**
22
+ - The **context size** of this model is **1024** tokens.
23
+ - It has the same **tokenizer** as Llama-3.2-1B, trained from scratch using the same Amharic dataset as the model with a vocabulary size of **32k**.
24
+ - This is a base model and hasn't undergone any supervised finetuing yet. The isntruction following version of this model is [Llama-3.2-180M-Amharic-Instruct](https://huggingface.co/rasyosef/Llama-3.2-180M-Amharic-Instruct)
25
+
26
+ ### How to use
27
+ First, you need to install the latest version of transformers
28
+ ```
29
+ pip install -Uq transformers
30
+ ```
31
+
32
+ You can use this model directly with a pipeline for text generation:
33
+
34
+ ```python
35
+ from transformers import pipeline
36
+
37
+ llama_am = pipeline(
38
+ "text-generation",
39
+ model="rasyosef/Llama-3.2-180M-Amharic",
40
+ device_map="auto"
41
+ )
42
+
43
+ prompt = "አዲስ አበባ"
44
+ llama_am(
45
+ prompt,
46
+ max_new_tokens=128,
47
+ temperature=0.5,
48
+ do_sample=True,
49
+ top_k=8,
50
+ top_p=0.8,
51
+ repetition_penalty=1.2
52
+ )
53
+ ```
54
+
55
+ Output:
56
+ ```python
57
+ [{'generated_text': 'አዲስ አበባ ፣ ጥር 22፣ 2012 (ኤፍ ቢ ሲ) በአዲስ አበባ ከተማ አስተዳደር የካ ክፍለ ከተማ እና ወረዳ 10 የመኖሪያ ቤቶች አካባቢ በዛሬው ዕለት የሙቀት መለኪያ መሳሪያ ወድቆ መገኘቱን የአዲስ አበባ ከተማ አስተዳደር የቤቶች ልማት ፕሮጀክት ፅሕፈት ቤት አስታወቀ።የፅህፈት ቤቱ ዋና ስራ አስኪያጅ አቶ ፀጋዬ በቀለ ለኢዜአ እንደገለጹት፥ በክፍለ ከተማው ወረዳ አንድ በተለምዶ ቦሌ ሚካኤል አየር አምባ ተብሎ በሚጠራው አከባቢ ዛሬ ከምሽቱ 1 ሰዓት እስከ ቀኑ ሰባት ሰዓት ድረስ ከፍተኛ ሙቀት ተመዝግቧል።በክፍለ ከተማው ወረዳ ሁለት ውስጥ መኖሪያ ቤታቸውና ቢሮዎቻቸው በፍንዳታ ጉዳት የደረሰባቸው ሲሆን በመኖሪያ ቤታቸውም የኤሌክትሪክ ጄኔሬተር በመፈንዳቱ ህክምና ላይ እንደነበሩ ገልፀዋል።በአሁኑ ወቅት በአካባቢው ምንም አይነት የኤሌክትሪክ ሃይል ባለመገኘቱ ምክንያት ነዋሪዎቹ ለከፍተኛ'}]
58
+ ```
59