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dolphin-2.9.2-qwen2-72b

Text Generation
Transformers
Safetensors
8 datasets
qwen2
Generated from Trainer
axolotl
conversational
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
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Crystalcareai commited on
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  1. README.md +454 -0
  2. added_tokens.json +5 -0
  3. config.json +27 -0
  4. generation_config.json +7 -0
  5. merges.txt +0 -0
  6. model-00001-of-00031.safetensors +3 -0
  7. model-00002-of-00031.safetensors +3 -0
  8. model-00003-of-00031.safetensors +3 -0
  9. model-00004-of-00031.safetensors +3 -0
  10. model-00005-of-00031.safetensors +3 -0
  11. model-00006-of-00031.safetensors +3 -0
  12. model-00007-of-00031.safetensors +3 -0
  13. model-00008-of-00031.safetensors +3 -0
  14. model-00009-of-00031.safetensors +3 -0
  15. model-00010-of-00031.safetensors +3 -0
  16. model-00011-of-00031.safetensors +3 -0
  17. model-00012-of-00031.safetensors +3 -0
  18. model-00013-of-00031.safetensors +3 -0
  19. model-00014-of-00031.safetensors +3 -0
  20. model-00015-of-00031.safetensors +3 -0
  21. model-00016-of-00031.safetensors +3 -0
  22. model-00017-of-00031.safetensors +3 -0
  23. model-00018-of-00031.safetensors +3 -0
  24. model-00019-of-00031.safetensors +3 -0
  25. model-00020-of-00031.safetensors +3 -0
  26. model-00021-of-00031.safetensors +3 -0
  27. model-00022-of-00031.safetensors +3 -0
  28. model-00023-of-00031.safetensors +3 -0
  29. model-00024-of-00031.safetensors +3 -0
  30. model-00025-of-00031.safetensors +3 -0
  31. model-00026-of-00031.safetensors +3 -0
  32. model-00027-of-00031.safetensors +3 -0
  33. model-00028-of-00031.safetensors +3 -0
  34. model-00029-of-00031.safetensors +3 -0
  35. model-00030-of-00031.safetensors +3 -0
  36. model-00031-of-00031.safetensors +3 -0
  37. model.safetensors.index.json +970 -0
  38. special_tokens_map.json +20 -0
  39. tokenizer.json +0 -0
  40. tokenizer_config.json +43 -0
  41. vocab.json +0 -0
README.md ADDED
@@ -0,0 +1,454 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ base_model: Qwen/Qwen2-72B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: qwen2-72b
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.0`
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+ ```yaml
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+ base_model: Qwen/Qwen2-72B
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ trust_remote_code: true
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+
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+ # load_in_8bit: true
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+ # load_in_4bit: false
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+ # strict: false
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+
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+ datasets:
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+ - path: /workspace/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-translate-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/not_samantha_norefusals.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/toolbench_tflan_cot_30p_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+
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+ unfrozen_parameters:
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+ - ^lm_head.weight$
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+ - ^model.embed_tokens.weight$
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+ # mlp.down_proj layers
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+ - model.layers.62.mlp.down_proj
78
+ - model.layers.63.mlp.down_proj
79
+ - model.layers.66.mlp.down_proj
80
+ - model.layers.65.mlp.down_proj
81
+ - model.layers.64.mlp.down_proj
82
+ - model.layers.67.mlp.down_proj
83
+ - model.layers.68.mlp.down_proj
84
+ - model.layers.60.mlp.down_proj
85
+ - model.layers.31.mlp.down_proj
86
+ - model.layers.69.mlp.down_proj
87
+ - model.layers.61.mlp.down_proj
88
+ - model.layers.59.mlp.down_proj
89
+ - model.layers.70.mlp.down_proj
90
+ - model.layers.30.mlp.down_proj
91
+ - model.layers.76.mlp.down_proj
92
+ - model.layers.72.mlp.down_proj
93
+ - model.layers.77.mlp.down_proj
94
+ - model.layers.71.mlp.down_proj
95
+ - model.layers.29.mlp.down_proj
96
+ - model.layers.58.mlp.down_proj
97
+ - model.layers.75.mlp.down_proj
98
+ - model.layers.32.mlp.down_proj
99
+ - model.layers.56.mlp.down_proj
100
+ - model.layers.28.mlp.down_proj
101
+ - model.layers.26.mlp.down_proj
102
+ - model.layers.33.mlp.down_proj
103
+ - model.layers.34.mlp.down_proj
104
+ - model.layers.57.mlp.down_proj
105
+ - model.layers.27.mlp.down_proj
106
+ - model.layers.25.mlp.down_proj
107
+ - model.layers.35.mlp.down_proj
108
+ - model.layers.73.mlp.down_proj
109
+ - model.layers.24.mlp.down_proj
110
+ - model.layers.78.mlp.down_proj
111
+ - model.layers.74.mlp.down_proj
112
+ - model.layers.54.mlp.down_proj
113
+ # mlp.gate_proj layers
114
+ - model.layers.78.mlp.gate_proj
115
+ - model.layers.77.mlp.gate_proj
116
+ - model.layers.76.mlp.gate_proj
117
+ - model.layers.79.mlp.gate_proj
118
+ - model.layers.75.mlp.gate_proj
119
+ - model.layers.74.mlp.gate_proj
120
+ - model.layers.73.mlp.gate_proj
121
+ - model.layers.70.mlp.gate_proj
122
+ - model.layers.72.mlp.gate_proj
123
+ - model.layers.71.mlp.gate_proj
124
+ - model.layers.69.mlp.gate_proj
125
+ - model.layers.54.mlp.gate_proj
126
+ - model.layers.68.mlp.gate_proj
127
+ - model.layers.57.mlp.gate_proj
128
+ - model.layers.63.mlp.gate_proj
129
+ - model.layers.49.mlp.gate_proj
130
+ - model.layers.55.mlp.gate_proj
131
+ - model.layers.53.mlp.gate_proj
132
+ - model.layers.44.mlp.gate_proj
133
+ - model.layers.46.mlp.gate_proj
134
+ - model.layers.67.mlp.gate_proj
135
+ - model.layers.58.mlp.gate_proj
136
+ - model.layers.56.mlp.gate_proj
137
+ - model.layers.45.mlp.gate_proj
138
+ - model.layers.50.mlp.gate_proj
139
+ - model.layers.62.mlp.gate_proj
140
+ - model.layers.64.mlp.gate_proj
141
+ - model.layers.48.mlp.gate_proj
142
+ - model.layers.66.mlp.gate_proj
143
+ - model.layers.52.mlp.gate_proj
144
+ - model.layers.40.mlp.gate_proj
145
+ - model.layers.47.mlp.gate_proj
146
+ - model.layers.43.mlp.gate_proj
147
+ - model.layers.65.mlp.gate_proj
148
+ - model.layers.61.mlp.gate_proj
149
+ - model.layers.59.mlp.gate_proj
150
+ # mlp.up_proj layers
151
+ - model.layers.69.mlp.up_proj
152
+ - model.layers.70.mlp.up_proj
153
+ - model.layers.71.mlp.up_proj
154
+ - model.layers.68.mlp.up_proj
155
+ - model.layers.67.mlp.up_proj
156
+ - model.layers.66.mlp.up_proj
157
+ - model.layers.46.mlp.up_proj
158
+ - model.layers.63.mlp.up_proj
159
+ - model.layers.72.mlp.up_proj
160
+ - model.layers.64.mlp.up_proj
161
+ - model.layers.62.mlp.up_proj
162
+ - model.layers.45.mlp.up_proj
163
+ - model.layers.65.mlp.up_proj
164
+ - model.layers.73.mlp.up_proj
165
+ - model.layers.47.mlp.up_proj
166
+ - model.layers.44.mlp.up_proj
167
+ - model.layers.49.mlp.up_proj
168
+ - model.layers.48.mlp.up_proj
169
+ - model.layers.53.mlp.up_proj
170
+ - model.layers.74.mlp.up_proj
171
+ - model.layers.75.mlp.up_proj
172
+ - model.layers.57.mlp.up_proj
173
+ - model.layers.76.mlp.up_proj
174
+ - model.layers.43.mlp.up_proj
175
+ - model.layers.42.mlp.up_proj
176
+ - model.layers.61.mlp.up_proj
177
+ - model.layers.40.mlp.up_proj
178
+ - model.layers.56.mlp.up_proj
179
+ - model.layers.60.mlp.up_proj
180
+ - model.layers.31.mlp.up_proj
181
+ - model.layers.54.mlp.up_proj
182
+ - model.layers.55.mlp.up_proj
183
+ - model.layers.32.mlp.up_proj
184
+ - model.layers.41.mlp.up_proj
185
+ - model.layers.33.mlp.up_proj
186
+ - model.layers.58.mlp.up_proj
187
+ # self_attn.k_proj layers
188
+ - model.layers.79.self_attn.k_proj
189
+ - model.layers.36.self_attn.k_proj
190
+ - model.layers.35.self_attn.k_proj
191
+ - model.layers.74.self_attn.k_proj
192
+ - model.layers.34.self_attn.k_proj
193
+ - model.layers.78.self_attn.k_proj
194
+ - model.layers.77.self_attn.k_proj
195
+ - model.layers.37.self_attn.k_proj
196
+ - model.layers.39.self_attn.k_proj
197
+ - model.layers.41.self_attn.k_proj
198
+ - model.layers.38.self_attn.k_proj
199
+ - model.layers.33.self_attn.k_proj
200
+ - model.layers.69.self_attn.k_proj
201
+ - model.layers.42.self_attn.k_proj
202
+ - model.layers.32.self_attn.k_proj
203
+ - model.layers.25.self_attn.k_proj
204
+ - model.layers.70.self_attn.k_proj
205
+ - model.layers.22.self_attn.k_proj
206
+ - model.layers.63.self_attn.k_proj
207
+ - model.layers.29.self_attn.k_proj
208
+ - model.layers.68.self_attn.k_proj
209
+ - model.layers.24.self_attn.k_proj
210
+ - model.layers.30.self_attn.k_proj
211
+ - model.layers.66.self_attn.k_proj
212
+ - model.layers.31.self_attn.k_proj
213
+ - model.layers.23.self_attn.k_proj
214
+ - model.layers.65.self_attn.k_proj
215
+ - model.layers.57.self_attn.k_proj
216
+ - model.layers.28.self_attn.k_proj
217
+ - model.layers.64.self_attn.k_proj
218
+ - model.layers.44.self_attn.k_proj
219
+ - model.layers.27.self_attn.k_proj
220
+ - model.layers.75.self_attn.k_proj
221
+ - model.layers.40.self_attn.k_proj
222
+ - model.layers.26.self_attn.k_proj
223
+ - model.layers.61.self_attn.k_proj
224
+ # self_attn.o_proj layers
225
+ - model.layers.14.self_attn.o_proj
226
+ - model.layers.39.self_attn.o_proj
227
+ - model.layers.19.self_attn.o_proj
228
+ - model.layers.16.self_attn.o_proj
229
+ - model.layers.17.self_attn.o_proj
230
+ - model.layers.15.self_attn.o_proj
231
+ - model.layers.69.self_attn.o_proj
232
+ - model.layers.12.self_attn.o_proj
233
+ - model.layers.42.self_attn.o_proj
234
+ - model.layers.23.self_attn.o_proj
235
+ - model.layers.22.self_attn.o_proj
236
+ - model.layers.29.self_attn.o_proj
237
+ - model.layers.13.self_attn.o_proj
238
+ - model.layers.46.self_attn.o_proj
239
+ - model.layers.52.self_attn.o_proj
240
+ - model.layers.26.self_attn.o_proj
241
+ - model.layers.38.self_attn.o_proj
242
+ - model.layers.41.self_attn.o_proj
243
+ - model.layers.18.self_attn.o_proj
244
+ - model.layers.49.self_attn.o_proj
245
+ - model.layers.11.self_attn.o_proj
246
+ - model.layers.28.self_attn.o_proj
247
+ - model.layers.25.self_attn.o_proj
248
+ - model.layers.47.self_attn.o_proj
249
+ - model.layers.53.self_attn.o_proj
250
+ - model.layers.27.self_attn.o_proj
251
+ - model.layers.37.self_attn.o_proj
252
+ - model.layers.20.self_attn.o_proj
253
+ - model.layers.43.self_attn.o_proj
254
+ - model.layers.44.self_attn.o_proj
255
+ - model.layers.45.self_attn.o_proj
256
+ - model.layers.30.self_attn.o_proj
257
+ - model.layers.24.self_attn.o_proj
258
+ - model.layers.21.self_attn.o_proj
259
+ - model.layers.10.self_attn.o_proj
260
+ - model.layers.3.self_attn.o_proj
261
+ # self_attn.q_proj layers
262
+ - model.layers.1.self_attn.q_proj
263
+ - model.layers.2.self_attn.q_proj
264
+ - model.layers.3.self_attn.q_proj
265
+ - model.layers.5.self_attn.q_proj
266
+ - model.layers.4.self_attn.q_proj
267
+ - model.layers.0.self_attn.q_proj
268
+ - model.layers.6.self_attn.q_proj
269
+ - model.layers.8.self_attn.q_proj
270
+ - model.layers.7.self_attn.q_proj
271
+ - model.layers.9.self_attn.q_proj
272
+ - model.layers.10.self_attn.q_proj
273
+ - model.layers.12.self_attn.q_proj
274
+ - model.layers.19.self_attn.q_proj
275
+ - model.layers.18.self_attn.q_proj
276
+ - model.layers.25.self_attn.q_proj
277
+ - model.layers.11.self_attn.q_proj
278
+ - model.layers.15.self_attn.q_proj
279
+ - model.layers.61.self_attn.q_proj
280
+ - model.layers.17.self_attn.q_proj
281
+ - model.layers.55.self_attn.q_proj
282
+ - model.layers.54.self_attn.q_proj
283
+ - model.layers.16.self_attn.q_proj
284
+ - model.layers.68.self_attn.q_proj
285
+ - model.layers.49.self_attn.q_proj
286
+ - model.layers.48.self_attn.q_proj
287
+ - model.layers.52.self_attn.q_proj
288
+ - model.layers.13.self_attn.q_proj
289
+ - model.layers.42.self_attn.q_proj
290
+ - model.layers.57.self_attn.q_proj
291
+ - model.layers.60.self_attn.q_proj
292
+ - model.layers.53.self_attn.q_proj
293
+ - model.layers.64.self_attn.q_proj
294
+ - model.layers.66.self_attn.q_proj
295
+ - model.layers.62.self_attn.q_proj
296
+ - model.layers.59.self_attn.q_proj
297
+ - model.layers.50.self_attn.q_proj
298
+ # self_attn.v_proj layers
299
+ - model.layers.15.self_attn.v_proj
300
+ - model.layers.16.self_attn.v_proj
301
+ - model.layers.23.self_attn.v_proj
302
+ - model.layers.24.self_attn.v_proj
303
+ - model.layers.25.self_attn.v_proj
304
+ - model.layers.26.self_attn.v_proj
305
+ - model.layers.27.self_attn.v_proj
306
+ - model.layers.28.self_attn.v_proj
307
+ - model.layers.29.self_attn.v_proj
308
+ - model.layers.30.self_attn.v_proj
309
+ - model.layers.31.self_attn.v_proj
310
+ - model.layers.32.self_attn.v_proj
311
+ - model.layers.33.self_attn.v_proj
312
+ - model.layers.34.self_attn.v_proj
313
+ - model.layers.35.self_attn.v_proj
314
+ - model.layers.36.self_attn.v_proj
315
+ - model.layers.37.self_attn.v_proj
316
+ - model.layers.38.self_attn.v_proj
317
+ - model.layers.39.self_attn.v_proj
318
+ - model.layers.41.self_attn.v_proj
319
+ - model.layers.42.self_attn.v_proj
320
+ - model.layers.48.self_attn.v_proj
321
+ - model.layers.53.self_attn.v_proj
322
+ - model.layers.57.self_attn.v_proj
323
+ - model.layers.58.self_attn.v_proj
324
+ - model.layers.59.self_attn.v_proj
325
+ - model.layers.61.self_attn.v_proj
326
+ - model.layers.63.self_attn.v_proj
327
+ - model.layers.64.self_attn.v_proj
328
+ - model.layers.65.self_attn.v_proj
329
+ - model.layers.66.self_attn.v_proj
330
+ - model.layers.69.self_attn.v_proj
331
+ - model.layers.74.self_attn.v_proj
332
+ - model.layers.75.self_attn.v_proj
333
+ - model.layers.76.self_attn.v_proj
334
+ - model.layers.72.self_attn.v_proj
335
+
336
+
337
+ chat_template: chatml
338
+ dataset_prepared_path: qwen2-72b-data
339
+ val_set_size: 0.01
340
+ output_dir: qwen2-72b
341
+
342
+ sequence_len: 8192 # supports up to 8192
343
+ sample_packing: true
344
+ pad_to_sequence_len: true
345
+
346
+ # adapter: lora
347
+ # lora_model_dir:
348
+ # lora_r: 32
349
+ # lora_alpha: 16
350
+ # lora_dropout: 0.05
351
+ # lora_target_linear: true
352
+ # lora_fan_in_fan_out:
353
+
354
+ wandb_project: qwen2-72b
355
+ wandb_entity:
356
+ wandb_watch:
357
+ wandb_name:
358
+ wandb_log_model:
359
+
360
+ gradient_accumulation_steps: 8
361
+ micro_batch_size: 1
362
+ num_epochs: 3
363
+ optimizer: paged_adamw_8bit
364
+ lr_scheduler: cosine
365
+ learning_rate: 1e-5
366
+
367
+ train_on_inputs: false
368
+ group_by_length: false
369
+ bf16: auto
370
+ fp16:
371
+ tf32: false
372
+
373
+ gradient_checkpointing: true
374
+ early_stopping_patience:
375
+ resume_from_checkpoint:
376
+ local_rank:
377
+ logging_steps: 1
378
+ xformers_attention:
379
+ flash_attention: true
380
+
381
+ warmup_steps: 10
382
+ evals_per_epoch: 2
383
+ eval_table_size:
384
+ eval_max_new_tokens: 128
385
+ saves_per_epoch: 4
386
+ save_total_limit: 2
387
+ debug:
388
+ deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json
389
+ weight_decay: 0.05
390
+ fsdp:
391
+ fsdp_config:
392
+ special_tokens:
393
+ pad_token: "<|endoftext|>"
394
+ eos_token: "<|im_end|>"
395
+
396
+ ```
397
+
398
+ </details><br>
399
+
400
+ # qwen2-72b
401
+
402
+ This model is a fine-tuned version of [Qwen/Qwen2-72B](https://huggingface.co/Qwen/Qwen2-72B) on the None dataset.
403
+ It achieves the following results on the evaluation set:
404
+ - Loss: 0.4737
405
+
406
+ ## Model description
407
+
408
+ More information needed
409
+
410
+ ## Intended uses & limitations
411
+
412
+ More information needed
413
+
414
+ ## Training and evaluation data
415
+
416
+ More information needed
417
+
418
+ ## Training procedure
419
+
420
+ ### Training hyperparameters
421
+
422
+ The following hyperparameters were used during training:
423
+ - learning_rate: 1e-05
424
+ - train_batch_size: 1
425
+ - eval_batch_size: 1
426
+ - seed: 42
427
+ - distributed_type: multi-GPU
428
+ - num_devices: 8
429
+ - gradient_accumulation_steps: 8
430
+ - total_train_batch_size: 64
431
+ - total_eval_batch_size: 8
432
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
433
+ - lr_scheduler_type: cosine
434
+ - lr_scheduler_warmup_steps: 10
435
+ - num_epochs: 3
436
+
437
+ ### Training results
438
+
439
+ | Training Loss | Epoch | Step | Validation Loss |
440
+ |:-------------:|:------:|:----:|:---------------:|
441
+ | 0.5458 | 0.0007 | 1 | 0.5673 |
442
+ | 0.4634 | 0.5003 | 741 | 0.4655 |
443
+ | 0.4466 | 1.0007 | 1482 | 0.4550 |
444
+ | 0.3817 | 1.4835 | 2223 | 0.4587 |
445
+ | 0.386 | 1.9838 | 2964 | 0.4540 |
446
+ | 0.3258 | 2.4664 | 3705 | 0.4737 |
447
+
448
+
449
+ ### Framework versions
450
+
451
+ - Transformers 4.40.2
452
+ - Pytorch 2.2.2+cu121
453
+ - Datasets 2.19.1
454
+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "Qwen/Qwen2-72B",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "intermediate_size": 29568,
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+ "max_position_embeddings": 131072,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 80,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.2",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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