Farouk commited on
Commit
bd52069
·
1 Parent(s): 1a876fb

Training in progress, step 200

Browse files
adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "alpindale/CodeLlama-34B-hf",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16.0,
11
+ "lora_dropout": 0.1,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "o_proj",
19
+ "k_proj",
20
+ "up_proj",
21
+ "down_proj",
22
+ "v_proj",
23
+ "gate_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe1234a055b1f542c55ecd065e4485efeb40f4500c71a301de000b6cd762a09d
3
+ size 871609293
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
checkpoint-200/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "alpindale/CodeLlama-34B-hf",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16.0,
11
+ "lora_dropout": 0.1,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "o_proj",
19
+ "k_proj",
20
+ "up_proj",
21
+ "down_proj",
22
+ "v_proj",
23
+ "gate_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
checkpoint-200/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe1234a055b1f542c55ecd065e4485efeb40f4500c71a301de000b6cd762a09d
3
+ size 871609293
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ddd19e61bdf42e00aeafa3042dfaf1360123752bf47d788fa8d691700f98631
3
+ size 3485880477
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21afb5c1e84bb9ad3640a45909a18e2345d5bb4b6d863cbdb971d376c8570c7b
3
+ size 14511
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7aa2c8b84e17817e6a4dcba5955fca913e266fdcd47f5594a29933ebd4972a01
3
+ size 627
checkpoint-200/special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "<unk>"
6
+ }
checkpoint-200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-200/tokenizer_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": null,
22
+ "model_max_length": 1000000000000000019884624838656,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "spaces_between_special_tokens": false,
27
+ "tokenizer_class": "LlamaTokenizer",
28
+ "unk_token": {
29
+ "__type": "AddedToken",
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": true,
33
+ "rstrip": false,
34
+ "single_word": false
35
+ },
36
+ "use_default_system_prompt": true
37
+ }
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,1287 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6127411127090454,
3
+ "best_model_checkpoint": "./output_v2/34bCodellama_CodeLlama-34B-hf_codellama_blob_1/checkpoint-200",
4
+ "epoch": 0.2808002808002808,
5
+ "global_step": 200,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 0.0002,
13
+ "loss": 1.5798,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.0,
18
+ "learning_rate": 0.0002,
19
+ "loss": 1.6599,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.0,
24
+ "learning_rate": 0.0002,
25
+ "loss": 1.6807,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 0.0002,
31
+ "loss": 1.4016,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 0.0002,
37
+ "loss": 1.2944,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.01,
42
+ "learning_rate": 0.0002,
43
+ "loss": 1.5477,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.01,
48
+ "learning_rate": 0.0002,
49
+ "loss": 1.1555,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.01,
54
+ "learning_rate": 0.0002,
55
+ "loss": 0.8678,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.01,
60
+ "learning_rate": 0.0002,
61
+ "loss": 1.1943,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.01,
66
+ "learning_rate": 0.0002,
67
+ "loss": 0.8046,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.02,
72
+ "learning_rate": 0.0002,
73
+ "loss": 1.0481,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.02,
78
+ "learning_rate": 0.0002,
79
+ "loss": 0.7954,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.02,
84
+ "learning_rate": 0.0002,
85
+ "loss": 1.3301,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.02,
90
+ "learning_rate": 0.0002,
91
+ "loss": 0.9544,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.02,
96
+ "learning_rate": 0.0002,
97
+ "loss": 0.8664,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.02,
102
+ "learning_rate": 0.0002,
103
+ "loss": 1.1004,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.02,
108
+ "learning_rate": 0.0002,
109
+ "loss": 0.6603,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.03,
114
+ "learning_rate": 0.0002,
115
+ "loss": 0.5278,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.03,
120
+ "learning_rate": 0.0002,
121
+ "loss": 0.5971,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.03,
126
+ "learning_rate": 0.0002,
127
+ "loss": 0.6106,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.03,
132
+ "learning_rate": 0.0002,
133
+ "loss": 0.9927,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.03,
138
+ "learning_rate": 0.0002,
139
+ "loss": 0.7429,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.03,
144
+ "learning_rate": 0.0002,
145
+ "loss": 0.5403,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.03,
150
+ "learning_rate": 0.0002,
151
+ "loss": 0.8739,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.04,
156
+ "learning_rate": 0.0002,
157
+ "loss": 0.7539,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.04,
162
+ "learning_rate": 0.0002,
163
+ "loss": 0.7598,
164
+ "step": 26
165
+ },
166
+ {
167
+ "epoch": 0.04,
168
+ "learning_rate": 0.0002,
169
+ "loss": 0.9449,
170
+ "step": 27
171
+ },
172
+ {
173
+ "epoch": 0.04,
174
+ "learning_rate": 0.0002,
175
+ "loss": 0.7586,
176
+ "step": 28
177
+ },
178
+ {
179
+ "epoch": 0.04,
180
+ "learning_rate": 0.0002,
181
+ "loss": 0.5068,
182
+ "step": 29
183
+ },
184
+ {
185
+ "epoch": 0.04,
186
+ "learning_rate": 0.0002,
187
+ "loss": 0.6072,
188
+ "step": 30
189
+ },
190
+ {
191
+ "epoch": 0.04,
192
+ "learning_rate": 0.0002,
193
+ "loss": 0.6695,
194
+ "step": 31
195
+ },
196
+ {
197
+ "epoch": 0.04,
198
+ "learning_rate": 0.0002,
199
+ "loss": 0.9185,
200
+ "step": 32
201
+ },
202
+ {
203
+ "epoch": 0.05,
204
+ "learning_rate": 0.0002,
205
+ "loss": 0.6406,
206
+ "step": 33
207
+ },
208
+ {
209
+ "epoch": 0.05,
210
+ "learning_rate": 0.0002,
211
+ "loss": 1.2219,
212
+ "step": 34
213
+ },
214
+ {
215
+ "epoch": 0.05,
216
+ "learning_rate": 0.0002,
217
+ "loss": 0.8394,
218
+ "step": 35
219
+ },
220
+ {
221
+ "epoch": 0.05,
222
+ "learning_rate": 0.0002,
223
+ "loss": 0.6016,
224
+ "step": 36
225
+ },
226
+ {
227
+ "epoch": 0.05,
228
+ "learning_rate": 0.0002,
229
+ "loss": 0.3244,
230
+ "step": 37
231
+ },
232
+ {
233
+ "epoch": 0.05,
234
+ "learning_rate": 0.0002,
235
+ "loss": 0.5451,
236
+ "step": 38
237
+ },
238
+ {
239
+ "epoch": 0.05,
240
+ "learning_rate": 0.0002,
241
+ "loss": 0.7036,
242
+ "step": 39
243
+ },
244
+ {
245
+ "epoch": 0.06,
246
+ "learning_rate": 0.0002,
247
+ "loss": 0.6548,
248
+ "step": 40
249
+ },
250
+ {
251
+ "epoch": 0.06,
252
+ "learning_rate": 0.0002,
253
+ "loss": 0.9478,
254
+ "step": 41
255
+ },
256
+ {
257
+ "epoch": 0.06,
258
+ "learning_rate": 0.0002,
259
+ "loss": 0.9163,
260
+ "step": 42
261
+ },
262
+ {
263
+ "epoch": 0.06,
264
+ "learning_rate": 0.0002,
265
+ "loss": 0.9001,
266
+ "step": 43
267
+ },
268
+ {
269
+ "epoch": 0.06,
270
+ "learning_rate": 0.0002,
271
+ "loss": 0.7748,
272
+ "step": 44
273
+ },
274
+ {
275
+ "epoch": 0.06,
276
+ "learning_rate": 0.0002,
277
+ "loss": 0.7414,
278
+ "step": 45
279
+ },
280
+ {
281
+ "epoch": 0.06,
282
+ "learning_rate": 0.0002,
283
+ "loss": 0.4948,
284
+ "step": 46
285
+ },
286
+ {
287
+ "epoch": 0.07,
288
+ "learning_rate": 0.0002,
289
+ "loss": 0.7041,
290
+ "step": 47
291
+ },
292
+ {
293
+ "epoch": 0.07,
294
+ "learning_rate": 0.0002,
295
+ "loss": 0.6931,
296
+ "step": 48
297
+ },
298
+ {
299
+ "epoch": 0.07,
300
+ "learning_rate": 0.0002,
301
+ "loss": 0.7196,
302
+ "step": 49
303
+ },
304
+ {
305
+ "epoch": 0.07,
306
+ "learning_rate": 0.0002,
307
+ "loss": 0.6884,
308
+ "step": 50
309
+ },
310
+ {
311
+ "epoch": 0.07,
312
+ "learning_rate": 0.0002,
313
+ "loss": 0.5539,
314
+ "step": 51
315
+ },
316
+ {
317
+ "epoch": 0.07,
318
+ "learning_rate": 0.0002,
319
+ "loss": 0.6652,
320
+ "step": 52
321
+ },
322
+ {
323
+ "epoch": 0.07,
324
+ "learning_rate": 0.0002,
325
+ "loss": 0.9422,
326
+ "step": 53
327
+ },
328
+ {
329
+ "epoch": 0.08,
330
+ "learning_rate": 0.0002,
331
+ "loss": 0.447,
332
+ "step": 54
333
+ },
334
+ {
335
+ "epoch": 0.08,
336
+ "learning_rate": 0.0002,
337
+ "loss": 0.7642,
338
+ "step": 55
339
+ },
340
+ {
341
+ "epoch": 0.08,
342
+ "learning_rate": 0.0002,
343
+ "loss": 0.4434,
344
+ "step": 56
345
+ },
346
+ {
347
+ "epoch": 0.08,
348
+ "learning_rate": 0.0002,
349
+ "loss": 0.7617,
350
+ "step": 57
351
+ },
352
+ {
353
+ "epoch": 0.08,
354
+ "learning_rate": 0.0002,
355
+ "loss": 0.5312,
356
+ "step": 58
357
+ },
358
+ {
359
+ "epoch": 0.08,
360
+ "learning_rate": 0.0002,
361
+ "loss": 0.7388,
362
+ "step": 59
363
+ },
364
+ {
365
+ "epoch": 0.08,
366
+ "learning_rate": 0.0002,
367
+ "loss": 0.9614,
368
+ "step": 60
369
+ },
370
+ {
371
+ "epoch": 0.09,
372
+ "learning_rate": 0.0002,
373
+ "loss": 1.2599,
374
+ "step": 61
375
+ },
376
+ {
377
+ "epoch": 0.09,
378
+ "learning_rate": 0.0002,
379
+ "loss": 0.595,
380
+ "step": 62
381
+ },
382
+ {
383
+ "epoch": 0.09,
384
+ "learning_rate": 0.0002,
385
+ "loss": 0.7218,
386
+ "step": 63
387
+ },
388
+ {
389
+ "epoch": 0.09,
390
+ "learning_rate": 0.0002,
391
+ "loss": 0.5194,
392
+ "step": 64
393
+ },
394
+ {
395
+ "epoch": 0.09,
396
+ "learning_rate": 0.0002,
397
+ "loss": 0.5519,
398
+ "step": 65
399
+ },
400
+ {
401
+ "epoch": 0.09,
402
+ "learning_rate": 0.0002,
403
+ "loss": 0.5712,
404
+ "step": 66
405
+ },
406
+ {
407
+ "epoch": 0.09,
408
+ "learning_rate": 0.0002,
409
+ "loss": 0.6011,
410
+ "step": 67
411
+ },
412
+ {
413
+ "epoch": 0.1,
414
+ "learning_rate": 0.0002,
415
+ "loss": 0.6643,
416
+ "step": 68
417
+ },
418
+ {
419
+ "epoch": 0.1,
420
+ "learning_rate": 0.0002,
421
+ "loss": 0.7581,
422
+ "step": 69
423
+ },
424
+ {
425
+ "epoch": 0.1,
426
+ "learning_rate": 0.0002,
427
+ "loss": 1.2109,
428
+ "step": 70
429
+ },
430
+ {
431
+ "epoch": 0.1,
432
+ "learning_rate": 0.0002,
433
+ "loss": 0.8814,
434
+ "step": 71
435
+ },
436
+ {
437
+ "epoch": 0.1,
438
+ "learning_rate": 0.0002,
439
+ "loss": 0.507,
440
+ "step": 72
441
+ },
442
+ {
443
+ "epoch": 0.1,
444
+ "learning_rate": 0.0002,
445
+ "loss": 0.7569,
446
+ "step": 73
447
+ },
448
+ {
449
+ "epoch": 0.1,
450
+ "learning_rate": 0.0002,
451
+ "loss": 0.7431,
452
+ "step": 74
453
+ },
454
+ {
455
+ "epoch": 0.11,
456
+ "learning_rate": 0.0002,
457
+ "loss": 0.7837,
458
+ "step": 75
459
+ },
460
+ {
461
+ "epoch": 0.11,
462
+ "learning_rate": 0.0002,
463
+ "loss": 0.5242,
464
+ "step": 76
465
+ },
466
+ {
467
+ "epoch": 0.11,
468
+ "learning_rate": 0.0002,
469
+ "loss": 0.3062,
470
+ "step": 77
471
+ },
472
+ {
473
+ "epoch": 0.11,
474
+ "learning_rate": 0.0002,
475
+ "loss": 0.5109,
476
+ "step": 78
477
+ },
478
+ {
479
+ "epoch": 0.11,
480
+ "learning_rate": 0.0002,
481
+ "loss": 0.8998,
482
+ "step": 79
483
+ },
484
+ {
485
+ "epoch": 0.11,
486
+ "learning_rate": 0.0002,
487
+ "loss": 0.875,
488
+ "step": 80
489
+ },
490
+ {
491
+ "epoch": 0.11,
492
+ "learning_rate": 0.0002,
493
+ "loss": 0.7363,
494
+ "step": 81
495
+ },
496
+ {
497
+ "epoch": 0.12,
498
+ "learning_rate": 0.0002,
499
+ "loss": 0.6465,
500
+ "step": 82
501
+ },
502
+ {
503
+ "epoch": 0.12,
504
+ "learning_rate": 0.0002,
505
+ "loss": 0.8307,
506
+ "step": 83
507
+ },
508
+ {
509
+ "epoch": 0.12,
510
+ "learning_rate": 0.0002,
511
+ "loss": 0.6284,
512
+ "step": 84
513
+ },
514
+ {
515
+ "epoch": 0.12,
516
+ "learning_rate": 0.0002,
517
+ "loss": 0.5862,
518
+ "step": 85
519
+ },
520
+ {
521
+ "epoch": 0.12,
522
+ "learning_rate": 0.0002,
523
+ "loss": 0.7502,
524
+ "step": 86
525
+ },
526
+ {
527
+ "epoch": 0.12,
528
+ "learning_rate": 0.0002,
529
+ "loss": 0.6251,
530
+ "step": 87
531
+ },
532
+ {
533
+ "epoch": 0.12,
534
+ "learning_rate": 0.0002,
535
+ "loss": 0.7613,
536
+ "step": 88
537
+ },
538
+ {
539
+ "epoch": 0.12,
540
+ "learning_rate": 0.0002,
541
+ "loss": 0.6527,
542
+ "step": 89
543
+ },
544
+ {
545
+ "epoch": 0.13,
546
+ "learning_rate": 0.0002,
547
+ "loss": 0.5793,
548
+ "step": 90
549
+ },
550
+ {
551
+ "epoch": 0.13,
552
+ "learning_rate": 0.0002,
553
+ "loss": 0.459,
554
+ "step": 91
555
+ },
556
+ {
557
+ "epoch": 0.13,
558
+ "learning_rate": 0.0002,
559
+ "loss": 0.7156,
560
+ "step": 92
561
+ },
562
+ {
563
+ "epoch": 0.13,
564
+ "learning_rate": 0.0002,
565
+ "loss": 0.6078,
566
+ "step": 93
567
+ },
568
+ {
569
+ "epoch": 0.13,
570
+ "learning_rate": 0.0002,
571
+ "loss": 0.2572,
572
+ "step": 94
573
+ },
574
+ {
575
+ "epoch": 0.13,
576
+ "learning_rate": 0.0002,
577
+ "loss": 0.5447,
578
+ "step": 95
579
+ },
580
+ {
581
+ "epoch": 0.13,
582
+ "learning_rate": 0.0002,
583
+ "loss": 0.6109,
584
+ "step": 96
585
+ },
586
+ {
587
+ "epoch": 0.14,
588
+ "learning_rate": 0.0002,
589
+ "loss": 1.0691,
590
+ "step": 97
591
+ },
592
+ {
593
+ "epoch": 0.14,
594
+ "learning_rate": 0.0002,
595
+ "loss": 0.3149,
596
+ "step": 98
597
+ },
598
+ {
599
+ "epoch": 0.14,
600
+ "learning_rate": 0.0002,
601
+ "loss": 0.5433,
602
+ "step": 99
603
+ },
604
+ {
605
+ "epoch": 0.14,
606
+ "learning_rate": 0.0002,
607
+ "loss": 0.7371,
608
+ "step": 100
609
+ },
610
+ {
611
+ "epoch": 0.14,
612
+ "learning_rate": 0.0002,
613
+ "loss": 0.8157,
614
+ "step": 101
615
+ },
616
+ {
617
+ "epoch": 0.14,
618
+ "learning_rate": 0.0002,
619
+ "loss": 0.5899,
620
+ "step": 102
621
+ },
622
+ {
623
+ "epoch": 0.14,
624
+ "learning_rate": 0.0002,
625
+ "loss": 0.6743,
626
+ "step": 103
627
+ },
628
+ {
629
+ "epoch": 0.15,
630
+ "learning_rate": 0.0002,
631
+ "loss": 0.9741,
632
+ "step": 104
633
+ },
634
+ {
635
+ "epoch": 0.15,
636
+ "learning_rate": 0.0002,
637
+ "loss": 0.5697,
638
+ "step": 105
639
+ },
640
+ {
641
+ "epoch": 0.15,
642
+ "learning_rate": 0.0002,
643
+ "loss": 0.6596,
644
+ "step": 106
645
+ },
646
+ {
647
+ "epoch": 0.15,
648
+ "learning_rate": 0.0002,
649
+ "loss": 0.7502,
650
+ "step": 107
651
+ },
652
+ {
653
+ "epoch": 0.15,
654
+ "learning_rate": 0.0002,
655
+ "loss": 0.6138,
656
+ "step": 108
657
+ },
658
+ {
659
+ "epoch": 0.15,
660
+ "learning_rate": 0.0002,
661
+ "loss": 0.6065,
662
+ "step": 109
663
+ },
664
+ {
665
+ "epoch": 0.15,
666
+ "learning_rate": 0.0002,
667
+ "loss": 0.6661,
668
+ "step": 110
669
+ },
670
+ {
671
+ "epoch": 0.16,
672
+ "learning_rate": 0.0002,
673
+ "loss": 0.987,
674
+ "step": 111
675
+ },
676
+ {
677
+ "epoch": 0.16,
678
+ "learning_rate": 0.0002,
679
+ "loss": 0.773,
680
+ "step": 112
681
+ },
682
+ {
683
+ "epoch": 0.16,
684
+ "learning_rate": 0.0002,
685
+ "loss": 0.4769,
686
+ "step": 113
687
+ },
688
+ {
689
+ "epoch": 0.16,
690
+ "learning_rate": 0.0002,
691
+ "loss": 0.8634,
692
+ "step": 114
693
+ },
694
+ {
695
+ "epoch": 0.16,
696
+ "learning_rate": 0.0002,
697
+ "loss": 0.9495,
698
+ "step": 115
699
+ },
700
+ {
701
+ "epoch": 0.16,
702
+ "learning_rate": 0.0002,
703
+ "loss": 0.6708,
704
+ "step": 116
705
+ },
706
+ {
707
+ "epoch": 0.16,
708
+ "learning_rate": 0.0002,
709
+ "loss": 0.7206,
710
+ "step": 117
711
+ },
712
+ {
713
+ "epoch": 0.17,
714
+ "learning_rate": 0.0002,
715
+ "loss": 0.628,
716
+ "step": 118
717
+ },
718
+ {
719
+ "epoch": 0.17,
720
+ "learning_rate": 0.0002,
721
+ "loss": 0.7703,
722
+ "step": 119
723
+ },
724
+ {
725
+ "epoch": 0.17,
726
+ "learning_rate": 0.0002,
727
+ "loss": 0.6506,
728
+ "step": 120
729
+ },
730
+ {
731
+ "epoch": 0.17,
732
+ "learning_rate": 0.0002,
733
+ "loss": 0.8484,
734
+ "step": 121
735
+ },
736
+ {
737
+ "epoch": 0.17,
738
+ "learning_rate": 0.0002,
739
+ "loss": 0.8516,
740
+ "step": 122
741
+ },
742
+ {
743
+ "epoch": 0.17,
744
+ "learning_rate": 0.0002,
745
+ "loss": 0.4612,
746
+ "step": 123
747
+ },
748
+ {
749
+ "epoch": 0.17,
750
+ "learning_rate": 0.0002,
751
+ "loss": 0.5995,
752
+ "step": 124
753
+ },
754
+ {
755
+ "epoch": 0.18,
756
+ "learning_rate": 0.0002,
757
+ "loss": 0.6679,
758
+ "step": 125
759
+ },
760
+ {
761
+ "epoch": 0.18,
762
+ "learning_rate": 0.0002,
763
+ "loss": 0.8091,
764
+ "step": 126
765
+ },
766
+ {
767
+ "epoch": 0.18,
768
+ "learning_rate": 0.0002,
769
+ "loss": 0.6702,
770
+ "step": 127
771
+ },
772
+ {
773
+ "epoch": 0.18,
774
+ "learning_rate": 0.0002,
775
+ "loss": 0.7588,
776
+ "step": 128
777
+ },
778
+ {
779
+ "epoch": 0.18,
780
+ "learning_rate": 0.0002,
781
+ "loss": 0.5301,
782
+ "step": 129
783
+ },
784
+ {
785
+ "epoch": 0.18,
786
+ "learning_rate": 0.0002,
787
+ "loss": 0.4867,
788
+ "step": 130
789
+ },
790
+ {
791
+ "epoch": 0.18,
792
+ "learning_rate": 0.0002,
793
+ "loss": 1.0696,
794
+ "step": 131
795
+ },
796
+ {
797
+ "epoch": 0.19,
798
+ "learning_rate": 0.0002,
799
+ "loss": 0.3769,
800
+ "step": 132
801
+ },
802
+ {
803
+ "epoch": 0.19,
804
+ "learning_rate": 0.0002,
805
+ "loss": 0.558,
806
+ "step": 133
807
+ },
808
+ {
809
+ "epoch": 0.19,
810
+ "learning_rate": 0.0002,
811
+ "loss": 0.7511,
812
+ "step": 134
813
+ },
814
+ {
815
+ "epoch": 0.19,
816
+ "learning_rate": 0.0002,
817
+ "loss": 0.3991,
818
+ "step": 135
819
+ },
820
+ {
821
+ "epoch": 0.19,
822
+ "learning_rate": 0.0002,
823
+ "loss": 0.6713,
824
+ "step": 136
825
+ },
826
+ {
827
+ "epoch": 0.19,
828
+ "learning_rate": 0.0002,
829
+ "loss": 0.4538,
830
+ "step": 137
831
+ },
832
+ {
833
+ "epoch": 0.19,
834
+ "learning_rate": 0.0002,
835
+ "loss": 0.5503,
836
+ "step": 138
837
+ },
838
+ {
839
+ "epoch": 0.2,
840
+ "learning_rate": 0.0002,
841
+ "loss": 0.6534,
842
+ "step": 139
843
+ },
844
+ {
845
+ "epoch": 0.2,
846
+ "learning_rate": 0.0002,
847
+ "loss": 0.4622,
848
+ "step": 140
849
+ },
850
+ {
851
+ "epoch": 0.2,
852
+ "learning_rate": 0.0002,
853
+ "loss": 0.5731,
854
+ "step": 141
855
+ },
856
+ {
857
+ "epoch": 0.2,
858
+ "learning_rate": 0.0002,
859
+ "loss": 0.7238,
860
+ "step": 142
861
+ },
862
+ {
863
+ "epoch": 0.2,
864
+ "learning_rate": 0.0002,
865
+ "loss": 0.8143,
866
+ "step": 143
867
+ },
868
+ {
869
+ "epoch": 0.2,
870
+ "learning_rate": 0.0002,
871
+ "loss": 0.539,
872
+ "step": 144
873
+ },
874
+ {
875
+ "epoch": 0.2,
876
+ "learning_rate": 0.0002,
877
+ "loss": 0.447,
878
+ "step": 145
879
+ },
880
+ {
881
+ "epoch": 0.2,
882
+ "learning_rate": 0.0002,
883
+ "loss": 0.4711,
884
+ "step": 146
885
+ },
886
+ {
887
+ "epoch": 0.21,
888
+ "learning_rate": 0.0002,
889
+ "loss": 0.5584,
890
+ "step": 147
891
+ },
892
+ {
893
+ "epoch": 0.21,
894
+ "learning_rate": 0.0002,
895
+ "loss": 0.5887,
896
+ "step": 148
897
+ },
898
+ {
899
+ "epoch": 0.21,
900
+ "learning_rate": 0.0002,
901
+ "loss": 0.3808,
902
+ "step": 149
903
+ },
904
+ {
905
+ "epoch": 0.21,
906
+ "learning_rate": 0.0002,
907
+ "loss": 0.5771,
908
+ "step": 150
909
+ },
910
+ {
911
+ "epoch": 0.21,
912
+ "learning_rate": 0.0002,
913
+ "loss": 0.5276,
914
+ "step": 151
915
+ },
916
+ {
917
+ "epoch": 0.21,
918
+ "learning_rate": 0.0002,
919
+ "loss": 0.4132,
920
+ "step": 152
921
+ },
922
+ {
923
+ "epoch": 0.21,
924
+ "learning_rate": 0.0002,
925
+ "loss": 0.9056,
926
+ "step": 153
927
+ },
928
+ {
929
+ "epoch": 0.22,
930
+ "learning_rate": 0.0002,
931
+ "loss": 0.5737,
932
+ "step": 154
933
+ },
934
+ {
935
+ "epoch": 0.22,
936
+ "learning_rate": 0.0002,
937
+ "loss": 0.6992,
938
+ "step": 155
939
+ },
940
+ {
941
+ "epoch": 0.22,
942
+ "learning_rate": 0.0002,
943
+ "loss": 0.4023,
944
+ "step": 156
945
+ },
946
+ {
947
+ "epoch": 0.22,
948
+ "learning_rate": 0.0002,
949
+ "loss": 0.6238,
950
+ "step": 157
951
+ },
952
+ {
953
+ "epoch": 0.22,
954
+ "learning_rate": 0.0002,
955
+ "loss": 0.5521,
956
+ "step": 158
957
+ },
958
+ {
959
+ "epoch": 0.22,
960
+ "learning_rate": 0.0002,
961
+ "loss": 0.6641,
962
+ "step": 159
963
+ },
964
+ {
965
+ "epoch": 0.22,
966
+ "learning_rate": 0.0002,
967
+ "loss": 0.4478,
968
+ "step": 160
969
+ },
970
+ {
971
+ "epoch": 0.23,
972
+ "learning_rate": 0.0002,
973
+ "loss": 0.865,
974
+ "step": 161
975
+ },
976
+ {
977
+ "epoch": 0.23,
978
+ "learning_rate": 0.0002,
979
+ "loss": 0.4332,
980
+ "step": 162
981
+ },
982
+ {
983
+ "epoch": 0.23,
984
+ "learning_rate": 0.0002,
985
+ "loss": 0.8205,
986
+ "step": 163
987
+ },
988
+ {
989
+ "epoch": 0.23,
990
+ "learning_rate": 0.0002,
991
+ "loss": 0.6539,
992
+ "step": 164
993
+ },
994
+ {
995
+ "epoch": 0.23,
996
+ "learning_rate": 0.0002,
997
+ "loss": 0.6957,
998
+ "step": 165
999
+ },
1000
+ {
1001
+ "epoch": 0.23,
1002
+ "learning_rate": 0.0002,
1003
+ "loss": 0.6279,
1004
+ "step": 166
1005
+ },
1006
+ {
1007
+ "epoch": 0.23,
1008
+ "learning_rate": 0.0002,
1009
+ "loss": 0.6073,
1010
+ "step": 167
1011
+ },
1012
+ {
1013
+ "epoch": 0.24,
1014
+ "learning_rate": 0.0002,
1015
+ "loss": 0.5831,
1016
+ "step": 168
1017
+ },
1018
+ {
1019
+ "epoch": 0.24,
1020
+ "learning_rate": 0.0002,
1021
+ "loss": 0.5383,
1022
+ "step": 169
1023
+ },
1024
+ {
1025
+ "epoch": 0.24,
1026
+ "learning_rate": 0.0002,
1027
+ "loss": 1.0065,
1028
+ "step": 170
1029
+ },
1030
+ {
1031
+ "epoch": 0.24,
1032
+ "learning_rate": 0.0002,
1033
+ "loss": 0.5239,
1034
+ "step": 171
1035
+ },
1036
+ {
1037
+ "epoch": 0.24,
1038
+ "learning_rate": 0.0002,
1039
+ "loss": 0.4246,
1040
+ "step": 172
1041
+ },
1042
+ {
1043
+ "epoch": 0.24,
1044
+ "learning_rate": 0.0002,
1045
+ "loss": 0.633,
1046
+ "step": 173
1047
+ },
1048
+ {
1049
+ "epoch": 0.24,
1050
+ "learning_rate": 0.0002,
1051
+ "loss": 0.4318,
1052
+ "step": 174
1053
+ },
1054
+ {
1055
+ "epoch": 0.25,
1056
+ "learning_rate": 0.0002,
1057
+ "loss": 0.5228,
1058
+ "step": 175
1059
+ },
1060
+ {
1061
+ "epoch": 0.25,
1062
+ "learning_rate": 0.0002,
1063
+ "loss": 0.791,
1064
+ "step": 176
1065
+ },
1066
+ {
1067
+ "epoch": 0.25,
1068
+ "learning_rate": 0.0002,
1069
+ "loss": 0.6141,
1070
+ "step": 177
1071
+ },
1072
+ {
1073
+ "epoch": 0.25,
1074
+ "learning_rate": 0.0002,
1075
+ "loss": 0.4894,
1076
+ "step": 178
1077
+ },
1078
+ {
1079
+ "epoch": 0.25,
1080
+ "learning_rate": 0.0002,
1081
+ "loss": 1.0344,
1082
+ "step": 179
1083
+ },
1084
+ {
1085
+ "epoch": 0.25,
1086
+ "learning_rate": 0.0002,
1087
+ "loss": 0.7332,
1088
+ "step": 180
1089
+ },
1090
+ {
1091
+ "epoch": 0.25,
1092
+ "learning_rate": 0.0002,
1093
+ "loss": 0.6845,
1094
+ "step": 181
1095
+ },
1096
+ {
1097
+ "epoch": 0.26,
1098
+ "learning_rate": 0.0002,
1099
+ "loss": 0.8027,
1100
+ "step": 182
1101
+ },
1102
+ {
1103
+ "epoch": 0.26,
1104
+ "learning_rate": 0.0002,
1105
+ "loss": 0.6537,
1106
+ "step": 183
1107
+ },
1108
+ {
1109
+ "epoch": 0.26,
1110
+ "learning_rate": 0.0002,
1111
+ "loss": 0.7333,
1112
+ "step": 184
1113
+ },
1114
+ {
1115
+ "epoch": 0.26,
1116
+ "learning_rate": 0.0002,
1117
+ "loss": 0.6149,
1118
+ "step": 185
1119
+ },
1120
+ {
1121
+ "epoch": 0.26,
1122
+ "learning_rate": 0.0002,
1123
+ "loss": 1.0586,
1124
+ "step": 186
1125
+ },
1126
+ {
1127
+ "epoch": 0.26,
1128
+ "learning_rate": 0.0002,
1129
+ "loss": 0.6911,
1130
+ "step": 187
1131
+ },
1132
+ {
1133
+ "epoch": 0.26,
1134
+ "learning_rate": 0.0002,
1135
+ "loss": 0.75,
1136
+ "step": 188
1137
+ },
1138
+ {
1139
+ "epoch": 0.27,
1140
+ "learning_rate": 0.0002,
1141
+ "loss": 0.4598,
1142
+ "step": 189
1143
+ },
1144
+ {
1145
+ "epoch": 0.27,
1146
+ "learning_rate": 0.0002,
1147
+ "loss": 0.5292,
1148
+ "step": 190
1149
+ },
1150
+ {
1151
+ "epoch": 0.27,
1152
+ "learning_rate": 0.0002,
1153
+ "loss": 0.6164,
1154
+ "step": 191
1155
+ },
1156
+ {
1157
+ "epoch": 0.27,
1158
+ "learning_rate": 0.0002,
1159
+ "loss": 0.3216,
1160
+ "step": 192
1161
+ },
1162
+ {
1163
+ "epoch": 0.27,
1164
+ "learning_rate": 0.0002,
1165
+ "loss": 0.6229,
1166
+ "step": 193
1167
+ },
1168
+ {
1169
+ "epoch": 0.27,
1170
+ "learning_rate": 0.0002,
1171
+ "loss": 0.6054,
1172
+ "step": 194
1173
+ },
1174
+ {
1175
+ "epoch": 0.27,
1176
+ "learning_rate": 0.0002,
1177
+ "loss": 0.4821,
1178
+ "step": 195
1179
+ },
1180
+ {
1181
+ "epoch": 0.28,
1182
+ "learning_rate": 0.0002,
1183
+ "loss": 0.8481,
1184
+ "step": 196
1185
+ },
1186
+ {
1187
+ "epoch": 0.28,
1188
+ "learning_rate": 0.0002,
1189
+ "loss": 0.633,
1190
+ "step": 197
1191
+ },
1192
+ {
1193
+ "epoch": 0.28,
1194
+ "learning_rate": 0.0002,
1195
+ "loss": 0.4537,
1196
+ "step": 198
1197
+ },
1198
+ {
1199
+ "epoch": 0.28,
1200
+ "learning_rate": 0.0002,
1201
+ "loss": 0.6689,
1202
+ "step": 199
1203
+ },
1204
+ {
1205
+ "epoch": 0.28,
1206
+ "learning_rate": 0.0002,
1207
+ "loss": 0.8891,
1208
+ "step": 200
1209
+ },
1210
+ {
1211
+ "epoch": 0.28,
1212
+ "eval_loss": 0.6127411127090454,
1213
+ "eval_runtime": 397.1016,
1214
+ "eval_samples_per_second": 2.518,
1215
+ "eval_steps_per_second": 1.259,
1216
+ "step": 200
1217
+ },
1218
+ {
1219
+ "epoch": 0.28,
1220
+ "mmlu_eval_accuracy": 0.49968036766977914,
1221
+ "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
1222
+ "mmlu_eval_accuracy_anatomy": 0.5,
1223
+ "mmlu_eval_accuracy_astronomy": 0.375,
1224
+ "mmlu_eval_accuracy_business_ethics": 0.2727272727272727,
1225
+ "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
1226
+ "mmlu_eval_accuracy_college_biology": 0.5,
1227
+ "mmlu_eval_accuracy_college_chemistry": 0.25,
1228
+ "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
1229
+ "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453,
1230
+ "mmlu_eval_accuracy_college_medicine": 0.5454545454545454,
1231
+ "mmlu_eval_accuracy_college_physics": 0.5454545454545454,
1232
+ "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
1233
+ "mmlu_eval_accuracy_conceptual_physics": 0.2692307692307692,
1234
+ "mmlu_eval_accuracy_econometrics": 0.3333333333333333,
1235
+ "mmlu_eval_accuracy_electrical_engineering": 0.25,
1236
+ "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
1237
+ "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
1238
+ "mmlu_eval_accuracy_global_facts": 0.3,
1239
+ "mmlu_eval_accuracy_high_school_biology": 0.46875,
1240
+ "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
1241
+ "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
1242
+ "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
1243
+ "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
1244
+ "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619,
1245
+ "mmlu_eval_accuracy_high_school_macroeconomics": 0.3488372093023256,
1246
+ "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
1247
+ "mmlu_eval_accuracy_high_school_microeconomics": 0.5384615384615384,
1248
+ "mmlu_eval_accuracy_high_school_physics": 0.35294117647058826,
1249
+ "mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
1250
+ "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
1251
+ "mmlu_eval_accuracy_high_school_us_history": 0.8181818181818182,
1252
+ "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154,
1253
+ "mmlu_eval_accuracy_human_aging": 0.4782608695652174,
1254
+ "mmlu_eval_accuracy_human_sexuality": 0.5,
1255
+ "mmlu_eval_accuracy_international_law": 0.8461538461538461,
1256
+ "mmlu_eval_accuracy_jurisprudence": 0.5454545454545454,
1257
+ "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
1258
+ "mmlu_eval_accuracy_machine_learning": 0.6363636363636364,
1259
+ "mmlu_eval_accuracy_management": 0.7272727272727273,
1260
+ "mmlu_eval_accuracy_marketing": 0.68,
1261
+ "mmlu_eval_accuracy_medical_genetics": 0.7272727272727273,
1262
+ "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
1263
+ "mmlu_eval_accuracy_moral_disputes": 0.5,
1264
+ "mmlu_eval_accuracy_moral_scenarios": 0.21,
1265
+ "mmlu_eval_accuracy_nutrition": 0.696969696969697,
1266
+ "mmlu_eval_accuracy_philosophy": 0.5882352941176471,
1267
+ "mmlu_eval_accuracy_prehistory": 0.5428571428571428,
1268
+ "mmlu_eval_accuracy_professional_accounting": 0.3225806451612903,
1269
+ "mmlu_eval_accuracy_professional_law": 0.37058823529411766,
1270
+ "mmlu_eval_accuracy_professional_medicine": 0.4838709677419355,
1271
+ "mmlu_eval_accuracy_professional_psychology": 0.4492753623188406,
1272
+ "mmlu_eval_accuracy_public_relations": 0.4166666666666667,
1273
+ "mmlu_eval_accuracy_security_studies": 0.3333333333333333,
1274
+ "mmlu_eval_accuracy_sociology": 0.7272727272727273,
1275
+ "mmlu_eval_accuracy_us_foreign_policy": 0.5454545454545454,
1276
+ "mmlu_eval_accuracy_virology": 0.4444444444444444,
1277
+ "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
1278
+ "mmlu_loss": 0.9665496518188607,
1279
+ "step": 200
1280
+ }
1281
+ ],
1282
+ "max_steps": 5000,
1283
+ "num_train_epochs": 8,
1284
+ "total_flos": 1.0947640647293338e+17,
1285
+ "trial_name": null,
1286
+ "trial_params": null
1287
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85d09a9f54aa026a0295bc7d334655520e9bf512c90be29e98b4ed206613fba6
3
+ size 5947
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "<unk>"
6
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": null,
22
+ "model_max_length": 1000000000000000019884624838656,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "spaces_between_special_tokens": false,
27
+ "tokenizer_class": "LlamaTokenizer",
28
+ "unk_token": {
29
+ "__type": "AddedToken",
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": true,
33
+ "rstrip": false,
34
+ "single_word": false
35
+ },
36
+ "use_default_system_prompt": true
37
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85d09a9f54aa026a0295bc7d334655520e9bf512c90be29e98b4ed206613fba6
3
+ size 5947