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dolphin-2.9.1-qwen-110b

Text Generation
Transformers
Safetensors
qwen2
Generated from Trainer
axolotl
conversational
Inference Endpoints
text-generation-inference
Model card Files Community
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  1. README.md +431 -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-00049.safetensors +3 -0
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README.md ADDED
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1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: qwen-out
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+ 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
25
+ # strict: false
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+
27
+ datasets:
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+ - path: /workspace/datasets/dolphin-2.9/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/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
35
+ type: sharegpt
36
+ conversation: chatml
37
+ - path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl
38
+ type: sharegpt
39
+ conversation: chatml
40
+ - path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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+ type: sharegpt
42
+ 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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+ - path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl
47
+ type: sharegpt
48
+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl
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+ type: sharegpt
51
+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/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/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/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/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/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/SystemConversations.jsonl
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+ # type: sharegpt
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+ # conversation: chatml
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+
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+ chat_template: chatml
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0.01
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+ output_dir: ./qwen-out
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+
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+ # adapter: qlora
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+ # lora_r: 16
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+ # lora_alpha: 16
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+ # lora_modules_to_save: [embed_tokens, lm_head]
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+ # lora_dropout: 0.05
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+ # lora_target_linear: false
85
+
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+ unfrozen_parameters:
87
+ - ^lm_head.weight$
88
+ - ^model.embed_tokens.weight$
89
+ # input_layernorm layers
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
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
113
+ - model.layers.23.input_layernorm
114
+ # lm_head layers
115
+ # mlp.down_proj layers
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
163
+ - model.layers.38.mlp.gate_proj
164
+ - model.layers.39.mlp.gate_proj
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
190
+ # model.embed_tokens layers
191
+ # model.norm layers
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
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+ "<|endoftext|>": 151643,
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+ "<|im_end|>": 151645,
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+ "<|im_start|>": 151644
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+ }
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+ {
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+ "_name_or_path": "/workspace/axolotl/qwen-checkpoint",
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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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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 49152,
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+ "max_position_embeddings": 32768,
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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-06,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.0.dev0",
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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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+ "transformers_version": "4.40.0.dev0"
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+ }
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