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EVA-UNIT-01
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EVA-Qwen2.5-72B-v0.2

Text Generation
Transformers
Safetensors
qwen2
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
Kearm commited on
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  1. .gitattributes +1 -0
  2. README.md +491 -5
  3. added_tokens.json +24 -0
  4. config.json +28 -0
  5. generation_config.json +7 -0
  6. merges.txt +0 -0
  7. model-00001-of-00031.safetensors +3 -0
  8. model-00002-of-00031.safetensors +3 -0
  9. model-00003-of-00031.safetensors +3 -0
  10. model-00004-of-00031.safetensors +3 -0
  11. model-00005-of-00031.safetensors +3 -0
  12. model-00006-of-00031.safetensors +3 -0
  13. model-00007-of-00031.safetensors +3 -0
  14. model-00008-of-00031.safetensors +3 -0
  15. model-00009-of-00031.safetensors +3 -0
  16. model-00010-of-00031.safetensors +3 -0
  17. model-00011-of-00031.safetensors +3 -0
  18. model-00012-of-00031.safetensors +3 -0
  19. model-00013-of-00031.safetensors +3 -0
  20. model-00014-of-00031.safetensors +3 -0
  21. model-00015-of-00031.safetensors +3 -0
  22. model-00016-of-00031.safetensors +3 -0
  23. model-00017-of-00031.safetensors +3 -0
  24. model-00018-of-00031.safetensors +3 -0
  25. model-00019-of-00031.safetensors +3 -0
  26. model-00020-of-00031.safetensors +3 -0
  27. model-00021-of-00031.safetensors +3 -0
  28. model-00022-of-00031.safetensors +3 -0
  29. model-00023-of-00031.safetensors +3 -0
  30. model-00024-of-00031.safetensors +3 -0
  31. model-00025-of-00031.safetensors +3 -0
  32. model-00026-of-00031.safetensors +3 -0
  33. model-00027-of-00031.safetensors +3 -0
  34. model-00028-of-00031.safetensors +3 -0
  35. model-00029-of-00031.safetensors +3 -0
  36. model-00030-of-00031.safetensors +3 -0
  37. model-00031-of-00031.safetensors +3 -0
  38. model.safetensors.index.json +970 -0
  39. special_tokens_map.json +31 -0
  40. tokenizer.json +3 -0
  41. tokenizer_config.json +207 -0
  42. training_args.bin +3 -0
  43. vocab.json +0 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,5 +1,491 @@
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- ---
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- license: other
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- license_name: qwen
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- license_link: LICENSE
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: Qwen/Qwen2.5-72B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: EVA-Qwen2.5-72B-SFFT-v0.2
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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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: Qwen/Qwen2.5-72B
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_swiglu: true
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+ liger_fused_linear_cross_entropy: true
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+
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+ # plugins:
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+ # - axolotl.integrations.spectrum.SpectrumPlugin
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+
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+ # spectrum_top_fraction: 0.5
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+ # # Optional if using a pre-scanned model as your base_model. Useful if using a model mirror
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+ # spectrum_model_name: Qwen/Qwen2.5-32B
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+
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+ datasets:
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+ - path: datasets/Celeste_Filtered_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/deduped_not_samantha_norefusals.jsonl
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+ type: sharegpt
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+ - path: datasets/deduped_SynthRP-Gens_processed_ShareGPT_converted_cleaned.jsonl
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+ type: sharegpt
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+ - path: datasets/deduped_Synthstruct-Gens_processed_sharegpt_converted_cleaned.jsonl
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+ type: sharegpt
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+ - path: datasets/Gryphe-4o-WP-filtered-sharegpt_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/opus-instruct-22k-no_refusals-filtered_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/Sonnet3-5-charcard-names-filtered-sharegpt_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/SystemChat_subset_filtered_sharegpt_utf8fix.jsonl
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+ type: sharegpt
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+
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+ chat_template: chatml
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+ shuffle_merged_datasets: true
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+ val_set_size: 0.001
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+ output_dir: EVA-Qwen2.5-72B-SFFT-v0.2
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+
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+ sequence_len: 10240
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+ sample_packing: true
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+ eval_sample_packing: false
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+ pad_to_sequence_len: false
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+
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+ # adapter: qlora
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+ # lora_model_dir:
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+ # lora_r: 64
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+ # lora_alpha: 128
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+ # lora_dropout: 0.05
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+ # lora_target_linear: true
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+ # peft_use_dora: true
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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
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+ - model.layers.64.mlp.down_proj
82
+ - model.layers.63.mlp.down_proj
83
+ - model.layers.66.mlp.down_proj
84
+ - model.layers.65.mlp.down_proj
85
+ - model.layers.67.mlp.down_proj
86
+ - model.layers.68.mlp.down_proj
87
+ - model.layers.31.mlp.down_proj
88
+ - model.layers.60.mlp.down_proj
89
+ - model.layers.69.mlp.down_proj
90
+ - model.layers.61.mlp.down_proj
91
+ - model.layers.59.mlp.down_proj
92
+ - model.layers.30.mlp.down_proj
93
+ - model.layers.70.mlp.down_proj
94
+ - model.layers.32.mlp.down_proj
95
+ - model.layers.34.mlp.down_proj
96
+ - model.layers.33.mlp.down_proj
97
+ - model.layers.76.mlp.down_proj
98
+ - model.layers.72.mlp.down_proj
99
+ - model.layers.71.mlp.down_proj
100
+ - model.layers.58.mlp.down_proj
101
+ - model.layers.75.mlp.down_proj
102
+ - model.layers.29.mlp.down_proj
103
+ - model.layers.56.mlp.down_proj
104
+ - model.layers.26.mlp.down_proj
105
+ - model.layers.35.mlp.down_proj
106
+ - model.layers.28.mlp.down_proj
107
+ - model.layers.57.mlp.down_proj
108
+ - model.layers.77.mlp.down_proj
109
+ - model.layers.36.mlp.down_proj
110
+ - model.layers.27.mlp.down_proj
111
+ - model.layers.25.mlp.down_proj
112
+ - model.layers.78.mlp.down_proj
113
+ - model.layers.37.mlp.down_proj
114
+ - model.layers.73.mlp.down_proj
115
+ - model.layers.55.mlp.down_proj
116
+ - model.layers.54.mlp.down_proj
117
+ - model.layers.74.mlp.down_proj
118
+ - model.layers.24.mlp.down_proj
119
+ - model.layers.53.mlp.down_proj
120
+ # mlp.gate_proj layers
121
+ - model.layers.78.mlp.gate_proj
122
+ - model.layers.77.mlp.gate_proj
123
+ - model.layers.76.mlp.gate_proj
124
+ - model.layers.79.mlp.gate_proj
125
+ - model.layers.75.mlp.gate_proj
126
+ - model.layers.74.mlp.gate_proj
127
+ - model.layers.73.mlp.gate_proj
128
+ - model.layers.72.mlp.gate_proj
129
+ - model.layers.71.mlp.gate_proj
130
+ - model.layers.70.mlp.gate_proj
131
+ - model.layers.69.mlp.gate_proj
132
+ - model.layers.57.mlp.gate_proj
133
+ - model.layers.54.mlp.gate_proj
134
+ - model.layers.55.mlp.gate_proj
135
+ - model.layers.68.mlp.gate_proj
136
+ - model.layers.63.mlp.gate_proj
137
+ - model.layers.53.mlp.gate_proj
138
+ - model.layers.44.mlp.gate_proj
139
+ - model.layers.45.mlp.gate_proj
140
+ - model.layers.49.mlp.gate_proj
141
+ - model.layers.58.mlp.gate_proj
142
+ - model.layers.46.mlp.gate_proj
143
+ - model.layers.56.mlp.gate_proj
144
+ - model.layers.67.mlp.gate_proj
145
+ - model.layers.62.mlp.gate_proj
146
+ - model.layers.50.mlp.gate_proj
147
+ - model.layers.64.mlp.gate_proj
148
+ - model.layers.52.mlp.gate_proj
149
+ - model.layers.40.mlp.gate_proj
150
+ - model.layers.43.mlp.gate_proj
151
+ - model.layers.48.mlp.gate_proj
152
+ - model.layers.66.mlp.gate_proj
153
+ - model.layers.47.mlp.gate_proj
154
+ - model.layers.59.mlp.gate_proj
155
+ - model.layers.65.mlp.gate_proj
156
+ - model.layers.61.mlp.gate_proj
157
+ - model.layers.60.mlp.gate_proj
158
+ - model.layers.42.mlp.gate_proj
159
+ - model.layers.51.mlp.gate_proj
160
+ - model.layers.41.mlp.gate_proj
161
+ # mlp.up_proj layers
162
+ - model.layers.70.mlp.up_proj
163
+ - model.layers.69.mlp.up_proj
164
+ - model.layers.71.mlp.up_proj
165
+ - model.layers.68.mlp.up_proj
166
+ - model.layers.72.mlp.up_proj
167
+ - model.layers.67.mlp.up_proj
168
+ - model.layers.66.mlp.up_proj
169
+ - model.layers.73.mlp.up_proj
170
+ - model.layers.46.mlp.up_proj
171
+ - model.layers.63.mlp.up_proj
172
+ - model.layers.75.mlp.up_proj
173
+ - model.layers.76.mlp.up_proj
174
+ - model.layers.74.mlp.up_proj
175
+ - model.layers.45.mlp.up_proj
176
+ - model.layers.62.mlp.up_proj
177
+ - model.layers.64.mlp.up_proj
178
+ - model.layers.65.mlp.up_proj
179
+ - model.layers.44.mlp.up_proj
180
+ - model.layers.53.mlp.up_proj
181
+ - model.layers.47.mlp.up_proj
182
+ - model.layers.49.mlp.up_proj
183
+ - model.layers.48.mlp.up_proj
184
+ - model.layers.57.mlp.up_proj
185
+ - model.layers.43.mlp.up_proj
186
+ - model.layers.42.mlp.up_proj
187
+ - model.layers.56.mlp.up_proj
188
+ - model.layers.61.mlp.up_proj
189
+ - model.layers.54.mlp.up_proj
190
+ - model.layers.40.mlp.up_proj
191
+ - model.layers.55.mlp.up_proj
192
+ - model.layers.77.mlp.up_proj
193
+ - model.layers.60.mlp.up_proj
194
+ - model.layers.41.mlp.up_proj
195
+ - model.layers.35.mlp.up_proj
196
+ - model.layers.37.mlp.up_proj
197
+ - model.layers.58.mlp.up_proj
198
+ - model.layers.34.mlp.up_proj
199
+ - model.layers.38.mlp.up_proj
200
+ - model.layers.33.mlp.up_proj
201
+ - model.layers.39.mlp.up_proj
202
+ # self_attn.k_proj layers
203
+ - model.layers.36.self_attn.k_proj
204
+ - model.layers.79.self_attn.k_proj
205
+ - model.layers.35.self_attn.k_proj
206
+ - model.layers.34.self_attn.k_proj
207
+ - model.layers.37.self_attn.k_proj
208
+ - model.layers.33.self_attn.k_proj
209
+ - model.layers.38.self_attn.k_proj
210
+ - model.layers.39.self_attn.k_proj
211
+ - model.layers.74.self_attn.k_proj
212
+ - model.layers.77.self_attn.k_proj
213
+ - model.layers.41.self_attn.k_proj
214
+ - model.layers.69.self_attn.k_proj
215
+ - model.layers.32.self_attn.k_proj
216
+ - model.layers.78.self_attn.k_proj
217
+ - model.layers.30.self_attn.k_proj
218
+ - model.layers.70.self_attn.k_proj
219
+ - model.layers.25.self_attn.k_proj
220
+ - model.layers.42.self_attn.k_proj
221
+ - model.layers.29.self_attn.k_proj
222
+ - model.layers.31.self_attn.k_proj
223
+ - model.layers.68.self_attn.k_proj
224
+ - model.layers.66.self_attn.k_proj
225
+ - model.layers.22.self_attn.k_proj
226
+ - model.layers.65.self_attn.k_proj
227
+ - model.layers.44.self_attn.k_proj
228
+ - model.layers.40.self_attn.k_proj
229
+ - model.layers.63.self_attn.k_proj
230
+ - model.layers.23.self_attn.k_proj
231
+ - model.layers.28.self_attn.k_proj
232
+ - model.layers.24.self_attn.k_proj
233
+ - model.layers.26.self_attn.k_proj
234
+ - model.layers.67.self_attn.k_proj
235
+ - model.layers.75.self_attn.k_proj
236
+ - model.layers.27.self_attn.k_proj
237
+ - model.layers.57.self_attn.k_proj
238
+ - model.layers.64.self_attn.k_proj
239
+ - model.layers.71.self_attn.k_proj
240
+ - model.layers.61.self_attn.k_proj
241
+ - model.layers.72.self_attn.k_proj
242
+ - model.layers.73.self_attn.k_proj
243
+ # self_attn.o_proj layers
244
+ - model.layers.69.self_attn.o_proj
245
+ - model.layers.39.self_attn.o_proj
246
+ - model.layers.16.self_attn.o_proj
247
+ - model.layers.14.self_attn.o_proj
248
+ - model.layers.19.self_attn.o_proj
249
+ - model.layers.42.self_attn.o_proj
250
+ - model.layers.12.self_attn.o_proj
251
+ - model.layers.15.self_attn.o_proj
252
+ - model.layers.17.self_attn.o_proj
253
+ - model.layers.38.self_attn.o_proj
254
+ - model.layers.23.self_attn.o_proj
255
+ - model.layers.22.self_attn.o_proj
256
+ - model.layers.13.self_attn.o_proj
257
+ - model.layers.29.self_attn.o_proj
258
+ - model.layers.41.self_attn.o_proj
259
+ - model.layers.44.self_attn.o_proj
260
+ - model.layers.46.self_attn.o_proj
261
+ - model.layers.45.self_attn.o_proj
262
+ - model.layers.43.self_attn.o_proj
263
+ - model.layers.49.self_attn.o_proj
264
+ - model.layers.30.self_attn.o_proj
265
+ - model.layers.26.self_attn.o_proj
266
+ - model.layers.25.self_attn.o_proj
267
+ - model.layers.37.self_attn.o_proj
268
+ - model.layers.47.self_attn.o_proj
269
+ - model.layers.11.self_attn.o_proj
270
+ - model.layers.18.self_attn.o_proj
271
+ - model.layers.28.self_attn.o_proj
272
+ - model.layers.20.self_attn.o_proj
273
+ - model.layers.27.self_attn.o_proj
274
+ - model.layers.53.self_attn.o_proj
275
+ - model.layers.52.self_attn.o_proj
276
+ - model.layers.35.self_attn.o_proj
277
+ - model.layers.71.self_attn.o_proj
278
+ - model.layers.10.self_attn.o_proj
279
+ - model.layers.3.self_attn.o_proj
280
+ - model.layers.21.self_attn.o_proj
281
+ - model.layers.24.self_attn.o_proj
282
+ - model.layers.68.self_attn.o_proj
283
+ - model.layers.48.self_attn.o_proj
284
+ # self_attn.q_proj layers
285
+ - model.layers.1.self_attn.q_proj
286
+ - model.layers.2.self_attn.q_proj
287
+ - model.layers.3.self_attn.q_proj
288
+ - model.layers.0.self_attn.q_proj
289
+ - model.layers.5.self_attn.q_proj
290
+ - model.layers.4.self_attn.q_proj
291
+ - model.layers.6.self_attn.q_proj
292
+ - model.layers.8.self_attn.q_proj
293
+ - model.layers.7.self_attn.q_proj
294
+ - model.layers.9.self_attn.q_proj
295
+ - model.layers.10.self_attn.q_proj
296
+ - model.layers.68.self_attn.q_proj
297
+ - model.layers.25.self_attn.q_proj
298
+ - model.layers.12.self_attn.q_proj
299
+ - model.layers.54.self_attn.q_proj
300
+ - model.layers.55.self_attn.q_proj
301
+ - model.layers.61.self_attn.q_proj
302
+ - model.layers.18.self_attn.q_proj
303
+ - model.layers.49.self_attn.q_proj
304
+ - model.layers.66.self_attn.q_proj
305
+ - model.layers.72.self_attn.q_proj
306
+ - model.layers.11.self_attn.q_proj
307
+ - model.layers.52.self_attn.q_proj
308
+ - model.layers.64.self_attn.q_proj
309
+ - model.layers.15.self_attn.q_proj
310
+ - model.layers.60.self_attn.q_proj
311
+ - model.layers.50.self_attn.q_proj
312
+ - model.layers.59.self_attn.q_proj
313
+ - model.layers.53.self_attn.q_proj
314
+ - model.layers.48.self_attn.q_proj
315
+ - model.layers.57.self_attn.q_proj
316
+ - model.layers.70.self_attn.q_proj
317
+ - model.layers.17.self_attn.q_proj
318
+ - model.layers.67.self_attn.q_proj
319
+ - model.layers.71.self_attn.q_proj
320
+ - model.layers.62.self_attn.q_proj
321
+ - model.layers.51.self_attn.q_proj
322
+ - model.layers.19.self_attn.q_proj
323
+ - model.layers.58.self_attn.q_proj
324
+ - model.layers.13.self_attn.q_proj
325
+ # self_attn.v_proj layers
326
+ - model.layers.23.self_attn.v_proj
327
+ - model.layers.25.self_attn.v_proj
328
+ - model.layers.26.self_attn.v_proj
329
+ - model.layers.27.self_attn.v_proj
330
+ - model.layers.28.self_attn.v_proj
331
+ - model.layers.29.self_attn.v_proj
332
+ - model.layers.30.self_attn.v_proj
333
+ - model.layers.31.self_attn.v_proj
334
+ - model.layers.34.self_attn.v_proj
335
+ - model.layers.35.self_attn.v_proj
336
+ - model.layers.36.self_attn.v_proj
337
+ - model.layers.37.self_attn.v_proj
338
+ - model.layers.38.self_attn.v_proj
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+ - model.layers.42.self_attn.v_proj
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+ - model.layers.48.self_attn.v_proj
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+ - model.layers.57.self_attn.v_proj
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+ - model.layers.58.self_attn.v_proj
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+ - model.layers.61.self_attn.v_proj
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+ - model.layers.63.self_attn.v_proj
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+ - model.layers.64.self_attn.v_proj
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+ - model.layers.65.self_attn.v_proj
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+ - model.layers.66.self_attn.v_proj
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+ - model.layers.69.self_attn.v_proj
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+ - model.layers.70.self_attn.v_proj
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+ - model.layers.74.self_attn.v_proj
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+ - model.layers.75.self_attn.v_proj
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+ - model.layers.72.self_attn.v_proj
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+ - model.layers.39.self_attn.v_proj
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+ - model.layers.41.self_attn.v_proj
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+ - model.layers.40.self_attn.v_proj
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+ - model.layers.33.self_attn.v_proj
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+ - model.layers.59.self_attn.v_proj
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+ - model.layers.16.self_attn.v_proj
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+ - model.layers.15.self_attn.v_proj
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+ - model.layers.76.self_attn.v_proj
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+ - model.layers.24.self_attn.v_proj
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+ - model.layers.68.self_attn.v_proj
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+ - model.layers.67.self_attn.v_proj
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+ - model.layers.55.self_attn.v_proj
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+ - model.layers.44.self_attn.v_proj
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+
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+
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+
369
+ wandb_project: EVA-Qwen2.5-72B-SFFT-v0.2
370
+ wandb_entity:
371
+ wandb_watch:
372
+ wandb_name: Unit-02
373
+ wandb_log_model:
374
+
375
+ gradient_accumulation_steps: 8
376
+ micro_batch_size: 1
377
+ num_epochs: 3
378
+ optimizer: paged_ademamix_8bit
379
+ lr_scheduler: cosine
380
+ learning_rate: 0.00003
381
+ max_grad_norm: 1.5
382
+
383
+ train_on_inputs: false
384
+ group_by_length: false
385
+ bf16: auto
386
+ fp16:
387
+ tf32: false
388
+
389
+ gradient_checkpointing: "unsloth"
390
+ # gradient_checkpointing_kwargs:
391
+ # use_reentrant: true
392
+ early_stopping_patience:
393
+ resume_from_checkpoint: EVA-Qwen2.5-72B-SFFT-v0.2/checkpoint-128
394
+ local_rank:
395
+ logging_steps: 1
396
+ xformers_attention:
397
+ flash_attention: true
398
+
399
+ warmup_steps: 20
400
+ evals_per_epoch: 4
401
+ saves_per_epoch: 4
402
+ save_safetensors: true
403
+ save_total_limit: 1
404
+ hub_model_id:
405
+ hub_strategy:
406
+ debug:
407
+ deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json
408
+ weight_decay: 0.12
409
+ # fsdp:
410
+ # - full_shard
411
+ # - auto_wrap
412
+ # fsdp_config:
413
+ # fsdp_limit_all_gathers: true
414
+ # fsdp_sync_module_states: false
415
+ # fsdp_offload_params: true
416
+ # fsdp_cpu_ram_efficient_loading: true
417
+ # fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
418
+ # fsdp_transformer_layer_cls_to_wrap: Qwen2DecoderLayer
419
+ # fsdp_activation_checkpointing: true
420
+ # fsdp_state_dict_type: SHARDED_STATE_DICT # Changed from FULL_STATE_DICT
421
+ # fsdp_sharding_strategy: FULL_SHARD
422
+ # fsdp_forward_prefetch: false # Added
423
+ # fsdp_backward_prefetch: "BACKWARD_PRE" # Added
424
+ # fsdp_backward_prefetch_limit: 1 # Added
425
+ # fsdp_mixed_precision: BF16 # Added
426
+ ```
427
+
428
+ </details><br>
429
+
430
+ # EVA-Qwen2.5-72B-SFFT-v0.2
431
+
432
+ This model is a fine-tuned version of [Qwen/Qwen2.5-72B](https://huggingface.co/Qwen/Qwen2.5-72B) on the None dataset.
433
+ It achieves the following results on the evaluation set:
434
+ - Loss: 1.0002
435
+
436
+ ## Model description
437
+
438
+ More information needed
439
+
440
+ ## Intended uses & limitations
441
+
442
+ More information needed
443
+
444
+ ## Training and evaluation data
445
+
446
+ More information needed
447
+
448
+ ## Training procedure
449
+
450
+ ### Training hyperparameters
451
+
452
+ The following hyperparameters were used during training:
453
+ - learning_rate: 3e-05
454
+ - train_batch_size: 1
455
+ - eval_batch_size: 1
456
+ - seed: 42
457
+ - distributed_type: multi-GPU
458
+ - num_devices: 8
459
+ - gradient_accumulation_steps: 8
460
+ - total_train_batch_size: 64
461
+ - total_eval_batch_size: 8
462
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
463
+ - lr_scheduler_type: cosine
464
+ - lr_scheduler_warmup_steps: 20
465
+ - num_epochs: 3
466
+
467
+ ### Training results
468
+
469
+ | Training Loss | Epoch | Step | Validation Loss |
470
+ |:-------------:|:------:|:----:|:---------------:|
471
+ | 1.3381 | 0.0078 | 1 | 1.2881 |
472
+ | 1.0803 | 0.2493 | 32 | 0.9745 |
473
+ | 0.8733 | 0.4985 | 64 | 0.9413 |
474
+ | 0.9273 | 0.7478 | 96 | 0.9224 |
475
+ | 0.8413 | 0.9971 | 128 | 0.9133 |
476
+ | 0.5342 | 1.2493 | 160 | 0.9449 |
477
+ | 0.5184 | 1.4985 | 192 | 0.9414 |
478
+ | 0.5177 | 1.7478 | 224 | 0.9300 |
479
+ | 0.5494 | 1.9971 | 256 | 0.9273 |
480
+ | 0.303 | 2.2449 | 288 | 0.9968 |
481
+ | 0.314 | 2.4946 | 320 | 1.0009 |
482
+ | 0.3022 | 2.7444 | 352 | 1.0004 |
483
+ | 0.2901 | 2.9941 | 384 | 1.0002 |
484
+
485
+
486
+ ### Framework versions
487
+
488
+ - Transformers 4.45.1
489
+ - Pytorch 2.3.1+cu121
490
+ - Datasets 2.21.0
491
+ - Tokenizers 0.20.3
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185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "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 %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|endoftext|>",
201
+ "errors": "replace",
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:e3e0381684dd4e632872e9c6b2c43efe781af3f809bc306fd0cc6e5feb22a250
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+ size 8248
vocab.json ADDED
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