Upload folder using huggingface_hub
Browse files- README.md +45 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +40 -0
- checkpoint-13/README.md +202 -0
- checkpoint-13/adapter_config.json +31 -0
- checkpoint-13/adapter_model.safetensors +3 -0
- checkpoint-13/added_tokens.json +40 -0
- checkpoint-13/merges.txt +0 -0
- checkpoint-13/optimizer.pt +3 -0
- checkpoint-13/pytorch_model.bin +3 -0
- checkpoint-13/rng_state.pth +3 -0
- checkpoint-13/scheduler.pt +3 -0
- checkpoint-13/special_tokens_map.json +24 -0
- checkpoint-13/tokenizer.json +0 -0
- checkpoint-13/tokenizer_config.json +325 -0
- checkpoint-13/trainer_state.json +20 -0
- checkpoint-13/training_args.bin +3 -0
- checkpoint-13/vocab.json +0 -0
- merges.txt +0 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +325 -0
- training_args.bin +3 -0
- training_params.json +47 -0
- vocab.json +0 -0
README.md
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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- peft
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library_name: transformers
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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---
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto'
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).eval()
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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(input_ids.to('cuda'))
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "microsoft/phi-1_5",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"fc2",
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"q_proj",
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"v_proj",
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"fc1"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:22645c1a98e690a6f26ec6aed204e41e6890ee1ad1fe96fa58ca5a5142253d34
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size 868316760
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added_tokens.json
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{
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"\t\t": 50294,
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"\t\t\t": 50293,
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"\t\t\t\t": 50292,
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"\t\t\t\t\t": 50291,
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"\t\t\t\t\t\t": 50290,
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"\t\t\t\t\t\t\t": 50289,
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"\t\t\t\t\t\t\t\t": 50288,
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"\t\t\t\t\t\t\t\t\t": 50287,
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" ": 50286,
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}
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checkpoint-13/README.md
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---
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library_name: peft
|
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base_model: microsoft/phi-1_5
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---
|
5 |
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# Model Card for Model ID
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7 |
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|
8 |
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<!-- Provide a quick summary of what the model is/does. -->
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9 |
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|
10 |
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11 |
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## Model Details
|
13 |
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|
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### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
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|
18 |
+
|
19 |
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|
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- **Developed by:** [More Information Needed]
|
21 |
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- **Funded by [optional]:** [More Information Needed]
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22 |
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- **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 |
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### 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 |
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### 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 |
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[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 |
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[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
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[More Information Needed]
|
63 |
+
|
64 |
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### 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 |
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|
70 |
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## How to Get Started with the Model
|
71 |
+
|
72 |
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Use the code below to get started with the model.
|
73 |
+
|
74 |
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[More Information Needed]
|
75 |
+
|
76 |
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## Training Details
|
77 |
+
|
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### 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 |
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|
82 |
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[More Information Needed]
|
83 |
+
|
84 |
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### 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 |
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#### Preprocessing [optional]
|
89 |
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|
90 |
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[More Information Needed]
|
91 |
+
|
92 |
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|
93 |
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#### Training Hyperparameters
|
94 |
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|
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 |
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#### 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 |
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## Evaluation
|
104 |
+
|
105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
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### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
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#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
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|
113 |
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[More Information Needed]
|
114 |
+
|
115 |
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#### Factors
|
116 |
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|
117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
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|
119 |
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[More Information Needed]
|
120 |
+
|
121 |
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#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
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|
125 |
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[More Information Needed]
|
126 |
+
|
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### Results
|
128 |
+
|
129 |
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[More Information Needed]
|
130 |
+
|
131 |
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#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
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## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
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[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 |
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### Compute Infrastructure
|
160 |
+
|
161 |
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[More Information Needed]
|
162 |
+
|
163 |
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#### Hardware
|
164 |
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|
165 |
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[More Information Needed]
|
166 |
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|
167 |
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#### Software
|
168 |
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|
169 |
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[More Information Needed]
|
170 |
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|
171 |
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## 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 |
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|
177 |
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[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
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|
181 |
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[More Information Needed]
|
182 |
+
|
183 |
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## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
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|
187 |
+
[More Information Needed]
|
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|
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## More Information [optional]
|
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|
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[More Information Needed]
|
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|
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## Model Card Authors [optional]
|
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|
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[More Information Needed]
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|
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## Model Card Contact
|
198 |
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|
199 |
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[More Information Needed]
|
200 |
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### Framework versions
|
201 |
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|
202 |
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- PEFT 0.10.0
|
checkpoint-13/adapter_config.json
ADDED
@@ -0,0 +1,31 @@
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merges.txt
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|
318 |
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
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|
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"tokenizer_class": "CodeGenTokenizer",
|
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"unk_token": "<|endoftext|>"
|
325 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:d3e2b100ab23ea67e13b784fc6c4cf172bcd74687bda3ba08d2a6d3e71e8484c
|
3 |
+
size 4920
|
training_params.json
ADDED
@@ -0,0 +1,47 @@
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|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"model": "microsoft/phi-1_5",
|
3 |
+
"project_name": "autotrain-phi-stuco",
|
4 |
+
"data_path": "autotrain-phi-stuco/autotrain-data",
|
5 |
+
"train_split": "train",
|
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|
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|
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"trainer": "default",
|
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|
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|
14 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
25 |
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|
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"optimizer": "adamw_torch",
|
27 |
+
"scheduler": "linear",
|
28 |
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|
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|
30 |
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"seed": 42,
|
31 |
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|
32 |
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"quantization": "none",
|
33 |
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|
34 |
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"merge_adapter": false,
|
35 |
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"peft": true,
|
36 |
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"lora_r": 16,
|
37 |
+
"lora_alpha": 32,
|
38 |
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"lora_dropout": 0.05,
|
39 |
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"model_ref": null,
|
40 |
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"dpo_beta": 0.1,
|
41 |
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"prompt_text_column": "autotrain_prompt",
|
42 |
+
"text_column": "autotrain_text",
|
43 |
+
"rejected_text_column": "autotrain_rejected_text",
|
44 |
+
"push_to_hub": true,
|
45 |
+
"repo_id": "IvanD2002/autotrain-phi-2",
|
46 |
+
"username": null
|
47 |
+
}
|
vocab.json
ADDED
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|
|