PEFT
Safetensors
ManojShack commited on
Commit
814f97d
·
verified ·
1 Parent(s): 0ade80d

checkpoint-2000

Browse files
README.md CHANGED
@@ -1,9 +1,6 @@
1
  ---
2
- license: apache-2.0
3
- ---
4
- ---
5
- library_name: transformers
6
- tags: []
7
  ---
8
 
9
  # Model Card for Model ID
@@ -18,7 +15,7 @@ tags: []
18
 
19
  <!-- Provide a longer summary of what this model is. -->
20
 
21
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
22
 
23
  - **Developed by:** [More Information Needed]
24
  - **Funded by [optional]:** [More Information Needed]
@@ -199,4 +196,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
199
 
200
  ## Model Card Contact
201
 
202
- [More Information Needed]
 
 
 
 
1
  ---
2
+ base_model: airev-ai/Amal-70b-v2
3
+ library_name: peft
 
 
 
4
  ---
5
 
6
  # Model Card for Model ID
 
15
 
16
  <!-- Provide a longer summary of what this model is. -->
17
 
18
+
19
 
20
  - **Developed by:** [More Information Needed]
21
  - **Funded by [optional]:** [More Information Needed]
 
196
 
197
  ## Model Card Contact
198
 
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "airev-ai/Amal-70b-v2",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 8,
14
+ "lora_dropout": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "k_proj",
25
+ "up_proj",
26
+ "gate_proj",
27
+ "v_proj",
28
+ "down_proj",
29
+ "o_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94301893217457d2aaaf7365634517658a1599bad59753735c2088343de48a77
3
+ size 421218912
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a4dba44bd4f5544629b78dc91df074ff234131500de408857d058c04d3a290c
3
+ size 215164626
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30684cc6dd9e4cffb11f365391b7f4f302fdbcaaed301f0f32fcadc1b1104ef0
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d49d95ce36507cba1fc3cc996d9385bac2973da72ff083f36c0383afe5ace1b2
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|im_end|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "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 %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|im_end|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
trainer_state copy.json ADDED
@@ -0,0 +1,333 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.13131545254587834,
5
+ "eval_steps": 1000,
6
+ "global_step": 2000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0065657726272939166,
13
+ "grad_norm": 0.20985035598278046,
14
+ "learning_rate": 1.9875205254515602e-05,
15
+ "loss": 1.2854,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.0065657726272939166,
20
+ "eval_loss": 1.0137826204299927,
21
+ "eval_runtime": 30083.3012,
22
+ "eval_samples_per_second": 0.426,
23
+ "eval_steps_per_second": 0.053,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.013131545254587833,
28
+ "grad_norm": 0.25870802998542786,
29
+ "learning_rate": 1.9743842364532024e-05,
30
+ "loss": 0.9595,
31
+ "step": 200
32
+ },
33
+ {
34
+ "epoch": 0.013131545254587833,
35
+ "eval_loss": 0.9594874382019043,
36
+ "eval_runtime": 30081.6328,
37
+ "eval_samples_per_second": 0.426,
38
+ "eval_steps_per_second": 0.053,
39
+ "step": 200
40
+ },
41
+ {
42
+ "epoch": 0.01969731788188175,
43
+ "grad_norm": 0.22705765068531036,
44
+ "learning_rate": 1.961247947454844e-05,
45
+ "loss": 0.9371,
46
+ "step": 300
47
+ },
48
+ {
49
+ "epoch": 0.01969731788188175,
50
+ "eval_loss": 0.943973183631897,
51
+ "eval_runtime": 30082.9648,
52
+ "eval_samples_per_second": 0.426,
53
+ "eval_steps_per_second": 0.053,
54
+ "step": 300
55
+ },
56
+ {
57
+ "epoch": 0.026263090509175666,
58
+ "grad_norm": 0.15589605271816254,
59
+ "learning_rate": 1.9481116584564863e-05,
60
+ "loss": 0.9386,
61
+ "step": 400
62
+ },
63
+ {
64
+ "epoch": 0.026263090509175666,
65
+ "eval_loss": 0.9333989024162292,
66
+ "eval_runtime": 30081.8754,
67
+ "eval_samples_per_second": 0.426,
68
+ "eval_steps_per_second": 0.053,
69
+ "step": 400
70
+ },
71
+ {
72
+ "epoch": 0.032828863136469585,
73
+ "grad_norm": 0.3671300411224365,
74
+ "learning_rate": 1.934975369458128e-05,
75
+ "loss": 0.9166,
76
+ "step": 500
77
+ },
78
+ {
79
+ "epoch": 0.032828863136469585,
80
+ "eval_loss": 0.926673173904419,
81
+ "eval_runtime": 30080.758,
82
+ "eval_samples_per_second": 0.426,
83
+ "eval_steps_per_second": 0.053,
84
+ "step": 500
85
+ },
86
+ {
87
+ "epoch": 0.0393946357637635,
88
+ "grad_norm": 0.23869025707244873,
89
+ "learning_rate": 1.9218390804597703e-05,
90
+ "loss": 0.9236,
91
+ "step": 600
92
+ },
93
+ {
94
+ "epoch": 0.0393946357637635,
95
+ "eval_loss": 0.9226961135864258,
96
+ "eval_runtime": 30048.7574,
97
+ "eval_samples_per_second": 0.427,
98
+ "eval_steps_per_second": 0.053,
99
+ "step": 600
100
+ },
101
+ {
102
+ "epoch": 0.04596040839105742,
103
+ "grad_norm": 0.27560362219810486,
104
+ "learning_rate": 1.9087027914614124e-05,
105
+ "loss": 0.9083,
106
+ "step": 700
107
+ },
108
+ {
109
+ "epoch": 0.04596040839105742,
110
+ "eval_loss": 0.9187578558921814,
111
+ "eval_runtime": 30068.8429,
112
+ "eval_samples_per_second": 0.427,
113
+ "eval_steps_per_second": 0.053,
114
+ "step": 700
115
+ },
116
+ {
117
+ "epoch": 0.05252618101835133,
118
+ "grad_norm": 0.2736820578575134,
119
+ "learning_rate": 1.8955665024630542e-05,
120
+ "loss": 0.929,
121
+ "step": 800
122
+ },
123
+ {
124
+ "epoch": 0.05252618101835133,
125
+ "eval_loss": 0.9152230620384216,
126
+ "eval_runtime": 30083.9319,
127
+ "eval_samples_per_second": 0.426,
128
+ "eval_steps_per_second": 0.053,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 0.05909195364564525,
133
+ "grad_norm": 0.2768559455871582,
134
+ "learning_rate": 1.8824302134646964e-05,
135
+ "loss": 0.9077,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 0.05909195364564525,
140
+ "eval_loss": 0.9131888747215271,
141
+ "eval_runtime": 30078.968,
142
+ "eval_samples_per_second": 0.426,
143
+ "eval_steps_per_second": 0.053,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 0.06565772627293917,
148
+ "grad_norm": 0.29504087567329407,
149
+ "learning_rate": 1.8692939244663385e-05,
150
+ "loss": 0.9018,
151
+ "step": 1000
152
+ },
153
+ {
154
+ "epoch": 0.06565772627293917,
155
+ "eval_loss": 0.9111798405647278,
156
+ "eval_runtime": 30085.2411,
157
+ "eval_samples_per_second": 0.426,
158
+ "eval_steps_per_second": 0.053,
159
+ "step": 1000
160
+ },
161
+ {
162
+ "epoch": 0.07222349890023308,
163
+ "grad_norm": 0.32929274439811707,
164
+ "learning_rate": 1.8561576354679803e-05,
165
+ "loss": 0.9113,
166
+ "step": 1100
167
+ },
168
+ {
169
+ "epoch": 0.07222349890023308,
170
+ "eval_loss": 0.9082886576652527,
171
+ "eval_runtime": 30080.1756,
172
+ "eval_samples_per_second": 0.426,
173
+ "eval_steps_per_second": 0.053,
174
+ "step": 1100
175
+ },
176
+ {
177
+ "epoch": 0.078789271527527,
178
+ "grad_norm": 0.3265211582183838,
179
+ "learning_rate": 1.8430213464696225e-05,
180
+ "loss": 0.8797,
181
+ "step": 1200
182
+ },
183
+ {
184
+ "epoch": 0.078789271527527,
185
+ "eval_loss": 0.9068158864974976,
186
+ "eval_runtime": 30079.3778,
187
+ "eval_samples_per_second": 0.426,
188
+ "eval_steps_per_second": 0.053,
189
+ "step": 1200
190
+ },
191
+ {
192
+ "epoch": 0.08535504415482092,
193
+ "grad_norm": 0.338413268327713,
194
+ "learning_rate": 1.8298850574712646e-05,
195
+ "loss": 0.9187,
196
+ "step": 1300
197
+ },
198
+ {
199
+ "epoch": 0.08535504415482092,
200
+ "eval_loss": 0.9051068425178528,
201
+ "eval_runtime": 30077.7335,
202
+ "eval_samples_per_second": 0.426,
203
+ "eval_steps_per_second": 0.053,
204
+ "step": 1300
205
+ },
206
+ {
207
+ "epoch": 0.09192081678211483,
208
+ "grad_norm": 0.28864777088165283,
209
+ "learning_rate": 1.8167487684729067e-05,
210
+ "loss": 0.893,
211
+ "step": 1400
212
+ },
213
+ {
214
+ "epoch": 0.09192081678211483,
215
+ "eval_loss": 0.9037203192710876,
216
+ "eval_runtime": 30076.794,
217
+ "eval_samples_per_second": 0.426,
218
+ "eval_steps_per_second": 0.053,
219
+ "step": 1400
220
+ },
221
+ {
222
+ "epoch": 0.09848658940940876,
223
+ "grad_norm": 0.3874276578426361,
224
+ "learning_rate": 1.8036124794745485e-05,
225
+ "loss": 0.897,
226
+ "step": 1500
227
+ },
228
+ {
229
+ "epoch": 0.09848658940940876,
230
+ "eval_loss": 0.9024273753166199,
231
+ "eval_runtime": 30075.0565,
232
+ "eval_samples_per_second": 0.426,
233
+ "eval_steps_per_second": 0.053,
234
+ "step": 1500
235
+ },
236
+ {
237
+ "epoch": 0.10505236203670267,
238
+ "grad_norm": 0.395245760679245,
239
+ "learning_rate": 1.7904761904761907e-05,
240
+ "loss": 0.8966,
241
+ "step": 1600
242
+ },
243
+ {
244
+ "epoch": 0.10505236203670267,
245
+ "eval_loss": 0.9006879329681396,
246
+ "eval_runtime": 30076.5102,
247
+ "eval_samples_per_second": 0.426,
248
+ "eval_steps_per_second": 0.053,
249
+ "step": 1600
250
+ },
251
+ {
252
+ "epoch": 0.11161813466399659,
253
+ "grad_norm": 0.36763593554496765,
254
+ "learning_rate": 1.777339901477833e-05,
255
+ "loss": 0.9013,
256
+ "step": 1700
257
+ },
258
+ {
259
+ "epoch": 0.11161813466399659,
260
+ "eval_loss": 0.8995980620384216,
261
+ "eval_runtime": 30075.5407,
262
+ "eval_samples_per_second": 0.426,
263
+ "eval_steps_per_second": 0.053,
264
+ "step": 1700
265
+ },
266
+ {
267
+ "epoch": 0.1181839072912905,
268
+ "grad_norm": 0.3429044783115387,
269
+ "learning_rate": 1.7642036124794746e-05,
270
+ "loss": 0.887,
271
+ "step": 1800
272
+ },
273
+ {
274
+ "epoch": 0.1181839072912905,
275
+ "eval_loss": 0.8988845944404602,
276
+ "eval_runtime": 30075.9991,
277
+ "eval_samples_per_second": 0.426,
278
+ "eval_steps_per_second": 0.053,
279
+ "step": 1800
280
+ },
281
+ {
282
+ "epoch": 0.12474967991858442,
283
+ "grad_norm": 0.41019654273986816,
284
+ "learning_rate": 1.7510673234811168e-05,
285
+ "loss": 0.8988,
286
+ "step": 1900
287
+ },
288
+ {
289
+ "epoch": 0.12474967991858442,
290
+ "eval_loss": 0.8975555300712585,
291
+ "eval_runtime": 30071.8456,
292
+ "eval_samples_per_second": 0.427,
293
+ "eval_steps_per_second": 0.053,
294
+ "step": 1900
295
+ },
296
+ {
297
+ "epoch": 0.13131545254587834,
298
+ "grad_norm": 0.36183497309684753,
299
+ "learning_rate": 1.7379310344827586e-05,
300
+ "loss": 0.8733,
301
+ "step": 2000
302
+ },
303
+ {
304
+ "epoch": 0.13131545254587834,
305
+ "eval_loss": 0.8967778086662292,
306
+ "eval_runtime": 30071.3584,
307
+ "eval_samples_per_second": 0.427,
308
+ "eval_steps_per_second": 0.053,
309
+ "step": 2000
310
+ }
311
+ ],
312
+ "logging_steps": 1000,
313
+ "max_steps": 15230,
314
+ "num_input_tokens_seen": 0,
315
+ "num_train_epochs": 1,
316
+ "save_steps": 500,
317
+ "stateful_callbacks": {
318
+ "TrainerControl": {
319
+ "args": {
320
+ "should_epoch_stop": false,
321
+ "should_evaluate": false,
322
+ "should_log": false,
323
+ "should_save": true,
324
+ "should_training_stop": false
325
+ },
326
+ "attributes": {}
327
+ }
328
+ },
329
+ "total_flos": 1.0606252120788173e+19,
330
+ "train_batch_size": 8,
331
+ "trial_name": null,
332
+ "trial_params": null
333
+ }
trainer_state.json ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.15116586674728846,
5
+ "eval_steps": 1000,
6
+ "global_step": 2000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.07558293337364423,
13
+ "grad_norm": 0.4784471392631531,
14
+ "learning_rate": 1.5470699432892252e-05,
15
+ "loss": 0.8895,
16
+ "step": 1000
17
+ },
18
+ {
19
+ "epoch": 0.07558293337364423,
20
+ "eval_loss": 0.8893495798110962,
21
+ "eval_runtime": 30073.3919,
22
+ "eval_samples_per_second": 0.426,
23
+ "eval_steps_per_second": 0.053,
24
+ "step": 1000
25
+ },
26
+ {
27
+ "epoch": 0.15116586674728846,
28
+ "grad_norm": 0.38212183117866516,
29
+ "learning_rate": 1.3958412098298676e-05,
30
+ "loss": 0.8797,
31
+ "step": 2000
32
+ },
33
+ {
34
+ "epoch": 0.15116586674728846,
35
+ "eval_loss": 0.8847432136535645,
36
+ "eval_runtime": 30074.8516,
37
+ "eval_samples_per_second": 0.426,
38
+ "eval_steps_per_second": 0.053,
39
+ "step": 2000
40
+ }
41
+ ],
42
+ "logging_steps": 1000,
43
+ "max_steps": 13230,
44
+ "num_input_tokens_seen": 0,
45
+ "num_train_epochs": 1,
46
+ "save_steps": 500,
47
+ "stateful_callbacks": {
48
+ "TrainerControl": {
49
+ "args": {
50
+ "should_epoch_stop": false,
51
+ "should_evaluate": false,
52
+ "should_log": false,
53
+ "should_save": true,
54
+ "should_training_stop": false
55
+ },
56
+ "attributes": {}
57
+ }
58
+ },
59
+ "total_flos": 2.124693138105041e+19,
60
+ "train_batch_size": 8,
61
+ "trial_name": null,
62
+ "trial_params": null
63
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8b50cb251ede901eff9a6fe57eafe89404124c32e49bbfe228b27c108ba52bd
3
+ size 5240
vocab.json ADDED
The diff for this file is too large to render. See raw diff