Model save
Browse files- README.md +69 -0
- all_results.json +9 -0
- config.json +32 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +370 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +795 -0
- train_results.json +9 -0
- trainer_state.json +492 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: DebateLabKIT/Phi-4-Argunaut-1-SFT
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library_name: transformers
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model_name: Phi-4-Argunaut-1-SPIN-dev0
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tags:
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- generated_from_trainer
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- trl
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- dpo
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licence: license
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---
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# Model Card for Phi-4-Argunaut-1-SPIN-dev0
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This model is a fine-tuned version of [DebateLabKIT/Phi-4-Argunaut-1-SFT](https://huggingface.co/DebateLabKIT/Phi-4-Argunaut-1-SFT).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="DebateLabKIT/Phi-4-Argunaut-1-SPIN-dev0", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ggbetz/argunauts-training/runs/mq4gsxna)
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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### Framework versions
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- TRL: 0.14.0
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- Transformers: 4.46.3
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- Pytorch: 2.4.1
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- Datasets: 3.1.0
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- Tokenizers: 0.20.3
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## Citations
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Cite DPO as:
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```bibtex
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@inproceedings{rafailov2023direct,
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title = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
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author = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
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year = 2023,
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booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
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url = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
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editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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all_results.json
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{
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"epoch": 1.9870967741935484,
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"total_flos": 0.0,
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"train_loss": 0.6479313838017451,
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"train_runtime": 1783.9929,
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"train_samples": 4957,
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"train_samples_per_second": 5.557,
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"train_steps_per_second": 0.086
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}
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config.json
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{
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"_name_or_path": "DebateLabKIT/Phi-4-Argunaut-1-SFT",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 100257,
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"eos_token_id": 100265,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 17920,
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"max_position_embeddings": 16384,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 10,
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"original_max_position_embeddings": 16384,
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"pad_token_id": 100351,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 250000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.3",
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"use_cache": false,
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"vocab_size": 100352
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}
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generation_config.json
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{
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"_from_model_config": true,
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"transformers_version": "4.46.3"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00006.safetensors
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tokenizer.json
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tokenizer_config.json
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|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"5809": {
|
5 |
+
"content": "�",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"100256": {
|
13 |
+
"content": "<|dummy_0|>",
|
14 |
+
"lstrip": true,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": true,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"100257": {
|
21 |
+
"content": "<|endoftext|>",
|
22 |
+
"lstrip": true,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": true,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"100258": {
|
29 |
+
"content": "<|fim_prefix|>",
|
30 |
+
"lstrip": true,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": true,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"100259": {
|
37 |
+
"content": "<|fim_middle|>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": true,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"100260": {
|
45 |
+
"content": "<|fim_suffix|>",
|
46 |
+
"lstrip": true,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": true,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"100261": {
|
53 |
+
"content": "<|dummy_1|>",
|
54 |
+
"lstrip": true,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": true,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"100262": {
|
61 |
+
"content": "<|dummy_2|>",
|
62 |
+
"lstrip": true,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": true,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"100263": {
|
69 |
+
"content": "<|dummy_3|>",
|
70 |
+
"lstrip": true,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": true,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"100264": {
|
77 |
+
"content": "<|im_start|>",
|
78 |
+
"lstrip": true,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": true,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"100265": {
|
85 |
+
"content": "<|im_end|>",
|
86 |
+
"lstrip": true,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": true,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"100266": {
|
93 |
+
"content": "<|im_sep|>",
|
94 |
+
"lstrip": true,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": true,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"100267": {
|
101 |
+
"content": "<|dummy_4|>",
|
102 |
+
"lstrip": true,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": true,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"100268": {
|
109 |
+
"content": "<|dummy_5|>",
|
110 |
+
"lstrip": true,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": true,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
},
|
116 |
+
"100269": {
|
117 |
+
"content": "<|dummy_6|>",
|
118 |
+
"lstrip": true,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": true,
|
121 |
+
"single_word": false,
|
122 |
+
"special": true
|
123 |
+
},
|
124 |
+
"100270": {
|
125 |
+
"content": "<|dummy_7|>",
|
126 |
+
"lstrip": true,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": true,
|
129 |
+
"single_word": false,
|
130 |
+
"special": true
|
131 |
+
},
|
132 |
+
"100271": {
|
133 |
+
"content": "<|dummy_8|>",
|
134 |
+
"lstrip": true,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": true,
|
137 |
+
"single_word": false,
|
138 |
+
"special": true
|
139 |
+
},
|
140 |
+
"100272": {
|
141 |
+
"content": "<|dummy_9|>",
|
142 |
+
"lstrip": true,
|
143 |
+
"normalized": false,
|
144 |
+
"rstrip": true,
|
145 |
+
"single_word": false,
|
146 |
+
"special": true
|
147 |
+
},
|
148 |
+
"100273": {
|
149 |
+
"content": "<|dummy_10|>",
|
150 |
+
"lstrip": true,
|
151 |
+
"normalized": false,
|
152 |
+
"rstrip": true,
|
153 |
+
"single_word": false,
|
154 |
+
"special": true
|
155 |
+
},
|
156 |
+
"100274": {
|
157 |
+
"content": "<|dummy_11|>",
|
158 |
+
"lstrip": true,
|
159 |
+
"normalized": false,
|
160 |
+
"rstrip": true,
|
161 |
+
"single_word": false,
|
162 |
+
"special": true
|
163 |
+
},
|
164 |
+
"100275": {
|
165 |
+
"content": "<|dummy_12|>",
|
166 |
+
"lstrip": true,
|
167 |
+
"normalized": false,
|
168 |
+
"rstrip": true,
|
169 |
+
"single_word": false,
|
170 |
+
"special": true
|
171 |
+
},
|
172 |
+
"100276": {
|
173 |
+
"content": "<|endofprompt|>",
|
174 |
+
"lstrip": true,
|
175 |
+
"normalized": false,
|
176 |
+
"rstrip": true,
|
177 |
+
"single_word": false,
|
178 |
+
"special": true
|
179 |
+
},
|
180 |
+
"100277": {
|
181 |
+
"content": "<|dummy_13|>",
|
182 |
+
"lstrip": true,
|
183 |
+
"normalized": false,
|
184 |
+
"rstrip": true,
|
185 |
+
"single_word": false,
|
186 |
+
"special": true
|
187 |
+
},
|
188 |
+
"100278": {
|
189 |
+
"content": "<|dummy_14|>",
|
190 |
+
"lstrip": true,
|
191 |
+
"normalized": false,
|
192 |
+
"rstrip": true,
|
193 |
+
"single_word": false,
|
194 |
+
"special": true
|
195 |
+
},
|
196 |
+
"100279": {
|
197 |
+
"content": "<|dummy_15|>",
|
198 |
+
"lstrip": true,
|
199 |
+
"normalized": false,
|
200 |
+
"rstrip": true,
|
201 |
+
"single_word": false,
|
202 |
+
"special": true
|
203 |
+
},
|
204 |
+
"100280": {
|
205 |
+
"content": "<|dummy_16|>",
|
206 |
+
"lstrip": true,
|
207 |
+
"normalized": false,
|
208 |
+
"rstrip": true,
|
209 |
+
"single_word": false,
|
210 |
+
"special": true
|
211 |
+
},
|
212 |
+
"100281": {
|
213 |
+
"content": "<|dummy_17|>",
|
214 |
+
"lstrip": true,
|
215 |
+
"normalized": false,
|
216 |
+
"rstrip": true,
|
217 |
+
"single_word": false,
|
218 |
+
"special": true
|
219 |
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train_results.json
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vocab.json
ADDED
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