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- README.md +431 -0
- added_tokens.json +5 -0
- config.json +27 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model-00001-of-00049.safetensors +3 -0
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- model-00008-of-00049.safetensors +3 -0
- model-00009-of-00049.safetensors +3 -0
- model-00010-of-00049.safetensors +3 -0
- model-00011-of-00049.safetensors +3 -0
- model-00012-of-00049.safetensors +3 -0
- model-00013-of-00049.safetensors +3 -0
- model-00014-of-00049.safetensors +3 -0
- model-00015-of-00049.safetensors +3 -0
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- model-00018-of-00049.safetensors +3 -0
- model-00019-of-00049.safetensors +3 -0
- model-00020-of-00049.safetensors +3 -0
- model-00021-of-00049.safetensors +3 -0
- model-00022-of-00049.safetensors +3 -0
- model-00023-of-00049.safetensors +3 -0
- model-00024-of-00049.safetensors +3 -0
- model-00025-of-00049.safetensors +3 -0
- model-00026-of-00049.safetensors +3 -0
- model-00027-of-00049.safetensors +3 -0
- model-00028-of-00049.safetensors +3 -0
- model-00029-of-00049.safetensors +3 -0
- model-00030-of-00049.safetensors +3 -0
- model-00031-of-00049.safetensors +3 -0
- model-00032-of-00049.safetensors +3 -0
- model-00033-of-00049.safetensors +3 -0
- model-00034-of-00049.safetensors +3 -0
- model-00035-of-00049.safetensors +3 -0
- model-00036-of-00049.safetensors +3 -0
- model-00037-of-00049.safetensors +3 -0
- model-00038-of-00049.safetensors +3 -0
- model-00039-of-00049.safetensors +3 -0
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- model-00041-of-00049.safetensors +3 -0
- model-00042-of-00049.safetensors +3 -0
- model-00043-of-00049.safetensors +3 -0
- model-00044-of-00049.safetensors +3 -0
- model-00045-of-00049.safetensors +3 -0
README.md
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1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
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+
model-index:
|
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+
- name: qwen-out
|
6 |
+
results: []
|
7 |
+
---
|
8 |
+
|
9 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
10 |
+
should probably proofread and complete it, then remove this comment. -->
|
11 |
+
|
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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: /workspace/axolotl/qwen-checkpoint
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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: true
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+
# strict: false
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+
|
27 |
+
datasets:
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28 |
+
- path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl
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29 |
+
type: sharegpt
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30 |
+
conversation: chatml
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31 |
+
# - path: /workspace/datasets/dolphin-2.9/Ultrachat200kunfiltered.jsonl
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+
# type: sharegpt
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+
# conversation: chatml
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+
- path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl
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+
type: sharegpt
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+
conversation: chatml
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37 |
+
- path: /workspace/datasets/dolphin-2.9/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/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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41 |
+
type: sharegpt
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+
conversation: chatml
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+
- path: /workspace/datasets/dolphin-2.9/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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46 |
+
- path: /workspace/datasets/dolphin-2.9/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/Orca-Math-resort-unfiltered.jsonl
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50 |
+
type: sharegpt
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51 |
+
conversation: chatml
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52 |
+
- path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl
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53 |
+
type: sharegpt
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54 |
+
conversation: chatml
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55 |
+
- path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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56 |
+
type: sharegpt
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57 |
+
conversation: chatml
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58 |
+
- path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl
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59 |
+
type: sharegpt
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60 |
+
conversation: chatml
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61 |
+
- path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl
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62 |
+
type: sharegpt
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+
conversation: chatml
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+
- path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl
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+
type: sharegpt
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66 |
+
conversation: chatml
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67 |
+
- path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl
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68 |
+
type: sharegpt
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69 |
+
conversation: chatml
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+
# - path: /workspace/datasets/dolphin-2.9/SystemConversations.jsonl
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+
# type: sharegpt
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72 |
+
# conversation: chatml
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73 |
+
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74 |
+
chat_template: chatml
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75 |
+
dataset_prepared_path: last_run_prepared
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76 |
+
val_set_size: 0.01
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77 |
+
output_dir: ./qwen-out
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78 |
+
|
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+
# adapter: qlora
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80 |
+
# lora_r: 16
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81 |
+
# lora_alpha: 16
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82 |
+
# lora_modules_to_save: [embed_tokens, lm_head]
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83 |
+
# lora_dropout: 0.05
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84 |
+
# lora_target_linear: false
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85 |
+
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86 |
+
unfrozen_parameters:
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87 |
+
- ^lm_head.weight$
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88 |
+
- ^model.embed_tokens.weight$
|
89 |
+
# input_layernorm layers
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90 |
+
- model.layers.0.input_layernorm
|
91 |
+
- model.layers.1.input_layernorm
|
92 |
+
- model.layers.2.input_layernorm
|
93 |
+
- model.layers.3.input_layernorm
|
94 |
+
- model.layers.4.input_layernorm
|
95 |
+
- model.layers.5.input_layernorm
|
96 |
+
- model.layers.6.input_layernorm
|
97 |
+
- model.layers.7.input_layernorm
|
98 |
+
- model.layers.8.input_layernorm
|
99 |
+
- model.layers.9.input_layernorm
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100 |
+
- model.layers.10.input_layernorm
|
101 |
+
- model.layers.11.input_layernorm
|
102 |
+
- model.layers.12.input_layernorm
|
103 |
+
- model.layers.13.input_layernorm
|
104 |
+
- model.layers.14.input_layernorm
|
105 |
+
- model.layers.15.input_layernorm
|
106 |
+
- model.layers.16.input_layernorm
|
107 |
+
- model.layers.17.input_layernorm
|
108 |
+
- model.layers.18.input_layernorm
|
109 |
+
- model.layers.19.input_layernorm
|
110 |
+
- model.layers.20.input_layernorm
|
111 |
+
- model.layers.21.input_layernorm
|
112 |
+
- model.layers.22.input_layernorm
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113 |
+
- model.layers.23.input_layernorm
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114 |
+
# lm_head layers
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115 |
+
# mlp.down_proj layers
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116 |
+
- model.layers.17.mlp.down_proj
|
117 |
+
- model.layers.18.mlp.down_proj
|
118 |
+
- model.layers.19.mlp.down_proj
|
119 |
+
- model.layers.20.mlp.down_proj
|
120 |
+
- model.layers.21.mlp.down_proj
|
121 |
+
- model.layers.22.mlp.down_proj
|
122 |
+
- model.layers.23.mlp.down_proj
|
123 |
+
- model.layers.24.mlp.down_proj
|
124 |
+
- model.layers.25.mlp.down_proj
|
125 |
+
- model.layers.26.mlp.down_proj
|
126 |
+
- model.layers.27.mlp.down_proj
|
127 |
+
- model.layers.28.mlp.down_proj
|
128 |
+
- model.layers.29.mlp.down_proj
|
129 |
+
- model.layers.30.mlp.down_proj
|
130 |
+
- model.layers.31.mlp.down_proj
|
131 |
+
- model.layers.32.mlp.down_proj
|
132 |
+
- model.layers.33.mlp.down_proj
|
133 |
+
- model.layers.34.mlp.down_proj
|
134 |
+
- model.layers.35.mlp.down_proj
|
135 |
+
- model.layers.36.mlp.down_proj
|
136 |
+
- model.layers.37.mlp.down_proj
|
137 |
+
- model.layers.38.mlp.down_proj
|
138 |
+
- model.layers.39.mlp.down_proj
|
139 |
+
- model.layers.40.mlp.down_proj
|
140 |
+
# mlp.gate_proj layers
|
141 |
+
- model.layers.51.mlp.gate_proj
|
142 |
+
- model.layers.50.mlp.gate_proj
|
143 |
+
- model.layers.53.mlp.gate_proj
|
144 |
+
- model.layers.52.mlp.gate_proj
|
145 |
+
- model.layers.49.mlp.gate_proj
|
146 |
+
- model.layers.45.mlp.gate_proj
|
147 |
+
- model.layers.46.mlp.gate_proj
|
148 |
+
- model.layers.47.mlp.gate_proj
|
149 |
+
- model.layers.57.mlp.gate_proj
|
150 |
+
- model.layers.48.mlp.gate_proj
|
151 |
+
- model.layers.56.mlp.gate_proj
|
152 |
+
- model.layers.41.mlp.gate_proj
|
153 |
+
- model.layers.54.mlp.gate_proj
|
154 |
+
- model.layers.43.mlp.gate_proj
|
155 |
+
- model.layers.44.mlp.gate_proj
|
156 |
+
- model.layers.60.mlp.gate_proj
|
157 |
+
- model.layers.55.mlp.gate_proj
|
158 |
+
- model.layers.40.mlp.gate_proj
|
159 |
+
- model.layers.42.mlp.gate_proj
|
160 |
+
- model.layers.58.mlp.gate_proj
|
161 |
+
- model.layers.36.mlp.gate_proj
|
162 |
+
- model.layers.37.mlp.gate_proj
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163 |
+
- model.layers.38.mlp.gate_proj
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164 |
+
- model.layers.39.mlp.gate_proj
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165 |
+
# mlp.up_proj layers
|
166 |
+
- model.layers.50.mlp.up_proj
|
167 |
+
- model.layers.51.mlp.up_proj
|
168 |
+
- model.layers.41.mlp.up_proj
|
169 |
+
- model.layers.49.mlp.up_proj
|
170 |
+
- model.layers.43.mlp.up_proj
|
171 |
+
- model.layers.44.mlp.up_proj
|
172 |
+
- model.layers.40.mlp.up_proj
|
173 |
+
- model.layers.45.mlp.up_proj
|
174 |
+
- model.layers.47.mlp.up_proj
|
175 |
+
- model.layers.48.mlp.up_proj
|
176 |
+
- model.layers.46.mlp.up_proj
|
177 |
+
- model.layers.42.mlp.up_proj
|
178 |
+
- model.layers.39.mlp.up_proj
|
179 |
+
- model.layers.36.mlp.up_proj
|
180 |
+
- model.layers.37.mlp.up_proj
|
181 |
+
- model.layers.38.mlp.up_proj
|
182 |
+
- model.layers.56.mlp.up_proj
|
183 |
+
- model.layers.57.mlp.up_proj
|
184 |
+
- model.layers.53.mlp.up_proj
|
185 |
+
- model.layers.31.mlp.up_proj
|
186 |
+
- model.layers.32.mlp.up_proj
|
187 |
+
- model.layers.34.mlp.up_proj
|
188 |
+
- model.layers.35.mlp.up_proj
|
189 |
+
- model.layers.33.mlp.up_proj
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190 |
+
# model.embed_tokens layers
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191 |
+
# model.norm layers
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192 |
+
# post_attention_layernorm layers
|
193 |
+
- model.layers.0.post_attention_layernorm
|
194 |
+
- model.layers.1.post_attention_layernorm
|
195 |
+
- model.layers.2.post_attention_layernorm
|
196 |
+
- model.layers.3.post_attention_layernorm
|
197 |
+
- model.layers.4.post_attention_layernorm
|
198 |
+
- model.layers.5.post_attention_layernorm
|
199 |
+
- model.layers.6.post_attention_layernorm
|
200 |
+
- model.layers.7.post_attention_layernorm
|
201 |
+
- model.layers.8.post_attention_layernorm
|
202 |
+
- model.layers.9.post_attention_layernorm
|
203 |
+
- model.layers.10.post_attention_layernorm
|
204 |
+
- model.layers.11.post_attention_layernorm
|
205 |
+
- model.layers.12.post_attention_layernorm
|
206 |
+
- model.layers.13.post_attention_layernorm
|
207 |
+
- model.layers.14.post_attention_layernorm
|
208 |
+
- model.layers.15.post_attention_layernorm
|
209 |
+
- model.layers.16.post_attention_layernorm
|
210 |
+
- model.layers.17.post_attention_layernorm
|
211 |
+
- model.layers.18.post_attention_layernorm
|
212 |
+
- model.layers.19.post_attention_layernorm
|
213 |
+
- model.layers.20.post_attention_layernorm
|
214 |
+
- model.layers.21.post_attention_layernorm
|
215 |
+
- model.layers.22.post_attention_layernorm
|
216 |
+
- model.layers.23.post_attention_layernorm
|
217 |
+
# self_attn.k_proj layers
|
218 |
+
- model.layers.42.self_attn.k_proj
|
219 |
+
- model.layers.41.self_attn.k_proj
|
220 |
+
- model.layers.39.self_attn.k_proj
|
221 |
+
- model.layers.35.self_attn.k_proj
|
222 |
+
- model.layers.28.self_attn.k_proj
|
223 |
+
- model.layers.79.self_attn.k_proj
|
224 |
+
- model.layers.43.self_attn.k_proj
|
225 |
+
- model.layers.32.self_attn.k_proj
|
226 |
+
- model.layers.73.self_attn.k_proj
|
227 |
+
- model.layers.31.self_attn.k_proj
|
228 |
+
- model.layers.29.self_attn.k_proj
|
229 |
+
- model.layers.76.self_attn.k_proj
|
230 |
+
- model.layers.30.self_attn.k_proj
|
231 |
+
- model.layers.40.self_attn.k_proj
|
232 |
+
- model.layers.33.self_attn.k_proj
|
233 |
+
- model.layers.78.self_attn.k_proj
|
234 |
+
- model.layers.34.self_attn.k_proj
|
235 |
+
- model.layers.37.self_attn.k_proj
|
236 |
+
- model.layers.45.self_attn.k_proj
|
237 |
+
- model.layers.44.self_attn.k_proj
|
238 |
+
- model.layers.71.self_attn.k_proj
|
239 |
+
- model.layers.26.self_attn.k_proj
|
240 |
+
- model.layers.74.self_attn.k_proj
|
241 |
+
- model.layers.27.self_attn.k_proj
|
242 |
+
# self_attn.o_proj layers
|
243 |
+
- model.layers.35.self_attn.o_proj
|
244 |
+
- model.layers.34.self_attn.o_proj
|
245 |
+
- model.layers.37.self_attn.o_proj
|
246 |
+
- model.layers.33.self_attn.o_proj
|
247 |
+
- model.layers.31.self_attn.o_proj
|
248 |
+
- model.layers.27.self_attn.o_proj
|
249 |
+
- model.layers.38.self_attn.o_proj
|
250 |
+
- model.layers.24.self_attn.o_proj
|
251 |
+
- model.layers.39.self_attn.o_proj
|
252 |
+
- model.layers.43.self_attn.o_proj
|
253 |
+
- model.layers.29.self_attn.o_proj
|
254 |
+
- model.layers.0.self_attn.o_proj
|
255 |
+
- model.layers.50.self_attn.o_proj
|
256 |
+
- model.layers.32.self_attn.o_proj
|
257 |
+
- model.layers.45.self_attn.o_proj
|
258 |
+
- model.layers.30.self_attn.o_proj
|
259 |
+
- model.layers.60.self_attn.o_proj
|
260 |
+
- model.layers.23.self_attn.o_proj
|
261 |
+
- model.layers.18.self_attn.o_proj
|
262 |
+
- model.layers.67.self_attn.o_proj
|
263 |
+
- model.layers.57.self_attn.o_proj
|
264 |
+
- model.layers.20.self_attn.o_proj
|
265 |
+
- model.layers.76.self_attn.o_proj
|
266 |
+
- model.layers.28.self_attn.o_proj
|
267 |
+
# self_attn.q_proj layers
|
268 |
+
- model.layers.1.self_attn.q_proj
|
269 |
+
- model.layers.6.self_attn.q_proj
|
270 |
+
- model.layers.0.self_attn.q_proj
|
271 |
+
- model.layers.5.self_attn.q_proj
|
272 |
+
- model.layers.2.self_attn.q_proj
|
273 |
+
- model.layers.7.self_attn.q_proj
|
274 |
+
- model.layers.3.self_attn.q_proj
|
275 |
+
- model.layers.4.self_attn.q_proj
|
276 |
+
- model.layers.8.self_attn.q_proj
|
277 |
+
- model.layers.9.self_attn.q_proj
|
278 |
+
- model.layers.61.self_attn.q_proj
|
279 |
+
- model.layers.10.self_attn.q_proj
|
280 |
+
- model.layers.62.self_attn.q_proj
|
281 |
+
- model.layers.36.self_attn.q_proj
|
282 |
+
- model.layers.15.self_attn.q_proj
|
283 |
+
- model.layers.11.self_attn.q_proj
|
284 |
+
- model.layers.17.self_attn.q_proj
|
285 |
+
- model.layers.60.self_attn.q_proj
|
286 |
+
- model.layers.63.self_attn.q_proj
|
287 |
+
- model.layers.64.self_attn.q_proj
|
288 |
+
- model.layers.29.self_attn.q_proj
|
289 |
+
- model.layers.30.self_attn.q_proj
|
290 |
+
- model.layers.55.self_attn.q_proj
|
291 |
+
- model.layers.34.self_attn.q_proj
|
292 |
+
# self_attn.v_proj layers
|
293 |
+
- model.layers.12.self_attn.v_proj
|
294 |
+
- model.layers.16.self_attn.v_proj
|
295 |
+
- model.layers.18.self_attn.v_proj
|
296 |
+
- model.layers.19.self_attn.v_proj
|
297 |
+
- model.layers.20.self_attn.v_proj
|
298 |
+
- model.layers.21.self_attn.v_proj
|
299 |
+
- model.layers.22.self_attn.v_proj
|
300 |
+
- model.layers.23.self_attn.v_proj
|
301 |
+
- model.layers.24.self_attn.v_proj
|
302 |
+
- model.layers.25.self_attn.v_proj
|
303 |
+
- model.layers.26.self_attn.v_proj
|
304 |
+
- model.layers.27.self_attn.v_proj
|
305 |
+
- model.layers.28.self_attn.v_proj
|
306 |
+
- model.layers.29.self_attn.v_proj
|
307 |
+
- model.layers.30.self_attn.v_proj
|
308 |
+
- model.layers.31.self_attn.v_proj
|
309 |
+
- model.layers.32.self_attn.v_proj
|
310 |
+
- model.layers.33.self_attn.v_proj
|
311 |
+
- model.layers.34.self_attn.v_proj
|
312 |
+
- model.layers.35.self_attn.v_proj
|
313 |
+
- model.layers.36.self_attn.v_proj
|
314 |
+
- model.layers.37.self_attn.v_proj
|
315 |
+
- model.layers.38.self_attn.v_proj
|
316 |
+
- model.layers.39.self_attn.v_proj
|
317 |
+
|
318 |
+
|
319 |
+
|
320 |
+
sequence_len: 8192 # supports up to 8192
|
321 |
+
sample_packing: true
|
322 |
+
pad_to_sequence_len: true
|
323 |
+
|
324 |
+
# adapter: lora
|
325 |
+
# lora_model_dir:
|
326 |
+
# lora_r: 32
|
327 |
+
# lora_alpha: 16
|
328 |
+
# lora_dropout: 0.05
|
329 |
+
# lora_target_linear: true
|
330 |
+
# lora_fan_in_fan_out:
|
331 |
+
|
332 |
+
wandb_project: dolphin-2.9-qwen-1.5-110b
|
333 |
+
wandb_entity:
|
334 |
+
wandb_watch:
|
335 |
+
wandb_name:
|
336 |
+
wandb_log_model:
|
337 |
+
|
338 |
+
gradient_accumulation_steps: 8
|
339 |
+
micro_batch_size: 1
|
340 |
+
num_epochs: 1
|
341 |
+
optimizer: adamw_8bit
|
342 |
+
lr_scheduler: cosine
|
343 |
+
learning_rate: 1e-5
|
344 |
+
|
345 |
+
train_on_inputs: false
|
346 |
+
group_by_length: false
|
347 |
+
bf16: auto
|
348 |
+
fp16:
|
349 |
+
tf32: true
|
350 |
+
|
351 |
+
gradient_checkpointing: true
|
352 |
+
early_stopping_patience:
|
353 |
+
# resume_from_checkpoint: /workspace/axolotl/qwen-checkpoint
|
354 |
+
local_rank:
|
355 |
+
logging_steps: 1
|
356 |
+
xformers_attention:
|
357 |
+
flash_attention: true
|
358 |
+
|
359 |
+
warmup_steps: 10
|
360 |
+
evals_per_epoch: 4
|
361 |
+
eval_table_size:
|
362 |
+
eval_max_new_tokens: 128
|
363 |
+
saves_per_epoch: 4
|
364 |
+
save_total_limit: 2
|
365 |
+
debug:
|
366 |
+
deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json
|
367 |
+
weight_decay: 0.0
|
368 |
+
fsdp:
|
369 |
+
fsdp_config:
|
370 |
+
special_tokens:
|
371 |
+
eos_token: "<|im_end|>"
|
372 |
+
|
373 |
+
|
374 |
+
|
375 |
+
```
|
376 |
+
|
377 |
+
</details><br>
|
378 |
+
|
379 |
+
# qwen-out
|
380 |
+
|
381 |
+
This model was trained from scratch on the None dataset.
|
382 |
+
It achieves the following results on the evaluation set:
|
383 |
+
- Loss: 0.3931
|
384 |
+
|
385 |
+
## Model description
|
386 |
+
|
387 |
+
More information needed
|
388 |
+
|
389 |
+
## Intended uses & limitations
|
390 |
+
|
391 |
+
More information needed
|
392 |
+
|
393 |
+
## Training and evaluation data
|
394 |
+
|
395 |
+
More information needed
|
396 |
+
|
397 |
+
## Training procedure
|
398 |
+
|
399 |
+
### Training hyperparameters
|
400 |
+
|
401 |
+
The following hyperparameters were used during training:
|
402 |
+
- learning_rate: 1e-05
|
403 |
+
- train_batch_size: 1
|
404 |
+
- eval_batch_size: 1
|
405 |
+
- seed: 42
|
406 |
+
- distributed_type: multi-GPU
|
407 |
+
- num_devices: 8
|
408 |
+
- gradient_accumulation_steps: 8
|
409 |
+
- total_train_batch_size: 64
|
410 |
+
- total_eval_batch_size: 8
|
411 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
412 |
+
- lr_scheduler_type: cosine
|
413 |
+
- lr_scheduler_warmup_steps: 10
|
414 |
+
- num_epochs: 1
|
415 |
+
|
416 |
+
### Training results
|
417 |
+
|
418 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
419 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
420 |
+
| 0.3528 | 0.0 | 1 | 0.3848 |
|
421 |
+
| 0.3687 | 0.25 | 291 | 0.3988 |
|
422 |
+
| 0.4156 | 0.5 | 582 | 0.3966 |
|
423 |
+
| 0.3826 | 0.75 | 873 | 0.3931 |
|
424 |
+
|
425 |
+
|
426 |
+
### Framework versions
|
427 |
+
|
428 |
+
- Transformers 4.40.0.dev0
|
429 |
+
- Pytorch 2.2.2+cu121
|
430 |
+
- Datasets 2.15.0
|
431 |
+
- Tokenizers 0.15.0
|
added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|endoftext|>": 151643,
|
3 |
+
"<|im_end|>": 151645,
|
4 |
+
"<|im_start|>": 151644
|
5 |
+
}
|
config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/workspace/axolotl/qwen-checkpoint",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"eos_token_id": 151645,
|
8 |
+
"hidden_act": "silu",
|
9 |
+
"hidden_size": 8192,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 49152,
|
12 |
+
"max_position_embeddings": 32768,
|
13 |
+
"max_window_layers": 28,
|
14 |
+
"model_type": "qwen2",
|
15 |
+
"num_attention_heads": 64,
|
16 |
+
"num_hidden_layers": 80,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"rms_norm_eps": 1e-06,
|
19 |
+
"rope_theta": 1000000.0,
|
20 |
+
"sliding_window": 32768,
|
21 |
+
"tie_word_embeddings": false,
|
22 |
+
"torch_dtype": "bfloat16",
|
23 |
+
"transformers_version": "4.40.0.dev0",
|
24 |
+
"use_cache": false,
|
25 |
+
"use_sliding_window": false,
|
26 |
+
"vocab_size": 152064
|
27 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": 151643,
|
5 |
+
"max_new_tokens": 2048,
|
6 |
+
"transformers_version": "4.40.0.dev0"
|
7 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model-00001-of-00049.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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|
model-00002-of-00049.safetensors
ADDED
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model-00003-of-00049.safetensors
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model-00006-of-00049.safetensors
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model-00007-of-00049.safetensors
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model-00008-of-00049.safetensors
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model-00009-of-00049.safetensors
ADDED
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model-00010-of-00049.safetensors
ADDED
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|
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model-00011-of-00049.safetensors
ADDED
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|
|
|
|
|
|
|
|
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