w-ahmad commited on
Commit
574de7f
·
verified ·
1 Parent(s): 1bef1f7

Auto upload 2026-08-06T21:25:44.036029

Browse files
Files changed (48) hide show
  1. out/glu-s10-21L_run/checkpoint-500/config.json +35 -0
  2. out/glu-s10-21L_run/checkpoint-500/model.safetensors +3 -0
  3. out/glu-s10-21L_run/checkpoint-500/optimizer.pt +3 -0
  4. out/glu-s10-21L_run/checkpoint-500/rng_state.pth +3 -0
  5. out/glu-s10-21L_run/checkpoint-500/scheduler.pt +3 -0
  6. out/glu-s10-21L_run/checkpoint-500/tokenizer.json +0 -0
  7. out/glu-s10-21L_run/checkpoint-500/tokenizer_config.json +13 -0
  8. out/glu-s10-21L_run/checkpoint-500/trainer_state.json +225 -0
  9. out/glu-s10-21L_run/checkpoint-500/training_args.bin +3 -0
  10. out/glu-s10-21L_run/config.json +35 -0
  11. out/glu-s10-21L_run/model.safetensors +3 -0
  12. out/glu-s10-21L_run/training_args.bin +3 -0
  13. out/glu-s10-21L_run/training_log.jsonl +0 -0
  14. out/glu-situglu-21L_run/README.md +65 -0
  15. out/glu-situglu-21L_run/checkpoint-1000/config.json +35 -0
  16. out/glu-situglu-21L_run/checkpoint-1000/model.safetensors +3 -0
  17. out/glu-situglu-21L_run/checkpoint-1000/optimizer.pt +3 -0
  18. out/glu-situglu-21L_run/checkpoint-1000/rng_state.pth +3 -0
  19. out/glu-situglu-21L_run/checkpoint-1000/scheduler.pt +3 -0
  20. out/glu-situglu-21L_run/checkpoint-1000/tokenizer.json +0 -0
  21. out/glu-situglu-21L_run/checkpoint-1000/tokenizer_config.json +13 -0
  22. out/glu-situglu-21L_run/checkpoint-1000/trainer_state.json +424 -0
  23. out/glu-situglu-21L_run/checkpoint-1000/training_args.bin +3 -0
  24. out/glu-situglu-21L_run/checkpoint-1500/config.json +35 -0
  25. out/glu-situglu-21L_run/checkpoint-1500/model.safetensors +3 -0
  26. out/glu-situglu-21L_run/checkpoint-1500/optimizer.pt +3 -0
  27. out/glu-situglu-21L_run/checkpoint-1500/rng_state.pth +3 -0
  28. out/glu-situglu-21L_run/checkpoint-1500/scheduler.pt +3 -0
  29. out/glu-situglu-21L_run/checkpoint-1500/tokenizer.json +0 -0
  30. out/glu-situglu-21L_run/checkpoint-1500/tokenizer_config.json +13 -0
  31. out/glu-situglu-21L_run/checkpoint-1500/trainer_state.json +615 -0
  32. out/glu-situglu-21L_run/checkpoint-1500/training_args.bin +3 -0
  33. out/glu-situglu-21L_run/checkpoint-2000/config.json +35 -0
  34. out/glu-situglu-21L_run/checkpoint-2000/model.safetensors +3 -0
  35. out/glu-situglu-21L_run/checkpoint-2000/optimizer.pt +3 -0
  36. out/glu-situglu-21L_run/checkpoint-2000/rng_state.pth +3 -0
  37. out/glu-situglu-21L_run/checkpoint-2000/scheduler.pt +3 -0
  38. out/glu-situglu-21L_run/checkpoint-2000/tokenizer.json +0 -0
  39. out/glu-situglu-21L_run/checkpoint-2000/tokenizer_config.json +13 -0
  40. out/glu-situglu-21L_run/checkpoint-2000/trainer_state.json +814 -0
  41. out/glu-situglu-21L_run/checkpoint-2000/training_args.bin +3 -0
  42. out/glu-situglu-21L_run/model.safetensors +1 -1
  43. out/glu-situglu-21L_run/tokenizer.json +0 -0
  44. out/glu-situglu-21L_run/tokenizer_config.json +13 -0
  45. out/glu-situglu-21L_run/training_log.jsonl +0 -0
  46. out/sweep_summary.json +4 -4
  47. wandb/debug-internal.log +25 -31
  48. wandb/debug.log +22 -22
out/glu-s10-21L_run/checkpoint-500/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "s10",
3
+ "architectures": [
4
+ "TinyLlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 2,
11
+ "head_dim": 32,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 128,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 256,
16
+ "max_position_embeddings": 512,
17
+ "mlp_bias": false,
18
+ "mlp_type": "glu",
19
+ "model_type": "tiny_llama",
20
+ "num_attention_heads": 4,
21
+ "num_hidden_layers": 21,
22
+ "num_key_value_heads": 4,
23
+ "pad_token_id": 0,
24
+ "pretraining_tp": 1,
25
+ "rms_norm_eps": 1e-06,
26
+ "rope_parameters": {
27
+ "rope_theta": 10000.0,
28
+ "rope_type": "default"
29
+ },
30
+ "tie_word_embeddings": true,
31
+ "tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
32
+ "transformers_version": "5.15.0.dev0",
33
+ "use_cache": false,
34
+ "vocab_size": 4096
35
+ }
out/glu-s10-21L_run/checkpoint-500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9188311675f967f98c10c6675503f8b0725dfec81e9b5c02a5de9de5646cf95
3
+ size 7961528
out/glu-s10-21L_run/checkpoint-500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dca663ec18d49680dfd5c66f637ba3f8cd60e7837e7169e5fed2f5420aa1e6e2
3
+ size 16041274
out/glu-s10-21L_run/checkpoint-500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cf9097d4513154245c48236b6ec5137b7ee2a21c9f58f2cba798ea275c6026f
3
+ size 14244
out/glu-s10-21L_run/checkpoint-500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e328dcb5672eefa48692126747c226aede5ae2e575011f8f5a2b20326a61f850
3
+ size 1064
out/glu-s10-21L_run/checkpoint-500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
out/glu-s10-21L_run/checkpoint-500/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": "<|endoftext|>",
5
+ "eos_token": "<|endoftext|>",
6
+ "errors": "replace",
7
+ "is_local": false,
8
+ "local_files_only": false,
9
+ "model_max_length": 1024,
10
+ "pad_token": "<|endoftext|>",
11
+ "tokenizer_class": "GPT2Tokenizer",
12
+ "unk_token": "<|endoftext|>"
13
+ }
out/glu-s10-21L_run/checkpoint-500/trainer_state.json ADDED
@@ -0,0 +1,225 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.03370407819346141,
6
+ "eval_steps": 200,
7
+ "global_step": 500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0013481631277384564,
14
+ "grad_norm": 1.265625,
15
+ "learning_rate": 0.0003,
16
+ "loss": 7.819881439208984,
17
+ "step": 20
18
+ },
19
+ {
20
+ "epoch": 0.002696326255476913,
21
+ "grad_norm": 1.1796875,
22
+ "learning_rate": 0.0003,
23
+ "loss": 7.0600433349609375,
24
+ "step": 40
25
+ },
26
+ {
27
+ "epoch": 0.004044489383215369,
28
+ "grad_norm": 0.98828125,
29
+ "learning_rate": 0.0003,
30
+ "loss": 6.507986450195313,
31
+ "step": 60
32
+ },
33
+ {
34
+ "epoch": 0.005392652510953826,
35
+ "grad_norm": 1.0703125,
36
+ "learning_rate": 0.0003,
37
+ "loss": 6.13072395324707,
38
+ "step": 80
39
+ },
40
+ {
41
+ "epoch": 0.006740815638692282,
42
+ "grad_norm": 1.8359375,
43
+ "learning_rate": 0.0003,
44
+ "loss": 5.789023208618164,
45
+ "step": 100
46
+ },
47
+ {
48
+ "epoch": 0.008088978766430738,
49
+ "grad_norm": 1.796875,
50
+ "learning_rate": 0.0003,
51
+ "loss": 5.358802795410156,
52
+ "step": 120
53
+ },
54
+ {
55
+ "epoch": 0.009437141894169195,
56
+ "grad_norm": 2.46875,
57
+ "learning_rate": 0.0003,
58
+ "loss": 4.854774856567383,
59
+ "step": 140
60
+ },
61
+ {
62
+ "epoch": 0.010785305021907651,
63
+ "grad_norm": 2.671875,
64
+ "learning_rate": 0.0003,
65
+ "loss": 4.344797134399414,
66
+ "step": 160
67
+ },
68
+ {
69
+ "epoch": 0.012133468149646108,
70
+ "grad_norm": 2.453125,
71
+ "learning_rate": 0.0003,
72
+ "loss": 3.923533248901367,
73
+ "step": 180
74
+ },
75
+ {
76
+ "epoch": 0.013481631277384564,
77
+ "grad_norm": 2.90625,
78
+ "learning_rate": 0.0003,
79
+ "loss": 3.5441238403320314,
80
+ "step": 200
81
+ },
82
+ {
83
+ "epoch": 0.013481631277384564,
84
+ "eval_loss": 3.3532824516296387,
85
+ "eval_runtime": 9.7034,
86
+ "eval_samples_per_second": 981.821,
87
+ "eval_steps_per_second": 15.355,
88
+ "step": 200
89
+ },
90
+ {
91
+ "epoch": 0.01482979440512302,
92
+ "grad_norm": 2.703125,
93
+ "learning_rate": 0.0003,
94
+ "loss": 3.1950939178466795,
95
+ "step": 220
96
+ },
97
+ {
98
+ "epoch": 0.016177957532861477,
99
+ "grad_norm": 2.65625,
100
+ "learning_rate": 0.0003,
101
+ "loss": 2.851460075378418,
102
+ "step": 240
103
+ },
104
+ {
105
+ "epoch": 0.01752612066059993,
106
+ "grad_norm": 1.6953125,
107
+ "learning_rate": 0.0003,
108
+ "loss": 2.524063491821289,
109
+ "step": 260
110
+ },
111
+ {
112
+ "epoch": 0.01887428378833839,
113
+ "grad_norm": 1.71875,
114
+ "learning_rate": 0.0003,
115
+ "loss": 2.1918392181396484,
116
+ "step": 280
117
+ },
118
+ {
119
+ "epoch": 0.020222446916076844,
120
+ "grad_norm": 1.734375,
121
+ "learning_rate": 0.0003,
122
+ "loss": 1.8681827545166017,
123
+ "step": 300
124
+ },
125
+ {
126
+ "epoch": 0.021570610043815303,
127
+ "grad_norm": 1.3515625,
128
+ "learning_rate": 0.0003,
129
+ "loss": 1.5638505935668945,
130
+ "step": 320
131
+ },
132
+ {
133
+ "epoch": 0.022918773171553757,
134
+ "grad_norm": 1.4921875,
135
+ "learning_rate": 0.0003,
136
+ "loss": 1.3047816276550293,
137
+ "step": 340
138
+ },
139
+ {
140
+ "epoch": 0.024266936299292215,
141
+ "grad_norm": 1.1484375,
142
+ "learning_rate": 0.0003,
143
+ "loss": 1.1159173011779786,
144
+ "step": 360
145
+ },
146
+ {
147
+ "epoch": 0.02561509942703067,
148
+ "grad_norm": 0.61328125,
149
+ "learning_rate": 0.0003,
150
+ "loss": 0.9435104370117188,
151
+ "step": 380
152
+ },
153
+ {
154
+ "epoch": 0.026963262554769128,
155
+ "grad_norm": 0.4609375,
156
+ "learning_rate": 0.0003,
157
+ "loss": 0.7958864688873291,
158
+ "step": 400
159
+ },
160
+ {
161
+ "epoch": 0.026963262554769128,
162
+ "eval_loss": 0.7467897534370422,
163
+ "eval_runtime": 9.7733,
164
+ "eval_samples_per_second": 974.795,
165
+ "eval_steps_per_second": 15.246,
166
+ "step": 400
167
+ },
168
+ {
169
+ "epoch": 0.028311425682507583,
170
+ "grad_norm": 0.43359375,
171
+ "learning_rate": 0.0003,
172
+ "loss": 0.6977367401123047,
173
+ "step": 420
174
+ },
175
+ {
176
+ "epoch": 0.02965958881024604,
177
+ "grad_norm": 0.515625,
178
+ "learning_rate": 0.0003,
179
+ "loss": 0.6431714534759522,
180
+ "step": 440
181
+ },
182
+ {
183
+ "epoch": 0.031007751937984496,
184
+ "grad_norm": 0.41796875,
185
+ "learning_rate": 0.0003,
186
+ "loss": 0.5860850811004639,
187
+ "step": 460
188
+ },
189
+ {
190
+ "epoch": 0.032355915065722954,
191
+ "grad_norm": 0.455078125,
192
+ "learning_rate": 0.0003,
193
+ "loss": 0.5521106243133544,
194
+ "step": 480
195
+ },
196
+ {
197
+ "epoch": 0.03370407819346141,
198
+ "grad_norm": 0.50390625,
199
+ "learning_rate": 0.0003,
200
+ "loss": 0.5192345142364502,
201
+ "step": 500
202
+ }
203
+ ],
204
+ "logging_steps": 20,
205
+ "max_steps": 2000,
206
+ "num_input_tokens_seen": 0,
207
+ "num_train_epochs": 1,
208
+ "save_steps": 500,
209
+ "stateful_callbacks": {
210
+ "TrainerControl": {
211
+ "args": {
212
+ "should_epoch_stop": false,
213
+ "should_evaluate": false,
214
+ "should_log": false,
215
+ "should_save": true,
216
+ "should_training_stop": false
217
+ },
218
+ "attributes": {}
219
+ }
220
+ },
221
+ "total_flos": 338769739776000.0,
222
+ "train_batch_size": 64,
223
+ "trial_name": null,
224
+ "trial_params": null
225
+ }
out/glu-s10-21L_run/checkpoint-500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:750ae5940581a03010874ce9e4b78ed370c49298da11e5fc09733ce113a086fd
3
+ size 4920
out/glu-s10-21L_run/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "s10",
3
+ "architectures": [
4
+ "TinyLlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 2,
11
+ "head_dim": 32,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 128,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 256,
16
+ "max_position_embeddings": 512,
17
+ "mlp_bias": false,
18
+ "mlp_type": "glu",
19
+ "model_type": "tiny_llama",
20
+ "num_attention_heads": 4,
21
+ "num_hidden_layers": 21,
22
+ "num_key_value_heads": 4,
23
+ "pad_token_id": 0,
24
+ "pretraining_tp": 1,
25
+ "rms_norm_eps": 1e-06,
26
+ "rope_parameters": {
27
+ "rope_theta": 10000.0,
28
+ "rope_type": "default"
29
+ },
30
+ "tie_word_embeddings": true,
31
+ "tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
32
+ "transformers_version": "5.15.0.dev0",
33
+ "use_cache": false,
34
+ "vocab_size": 4096
35
+ }
out/glu-s10-21L_run/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9188311675f967f98c10c6675503f8b0725dfec81e9b5c02a5de9de5646cf95
3
+ size 7961528
out/glu-s10-21L_run/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:750ae5940581a03010874ce9e4b78ed370c49298da11e5fc09733ce113a086fd
3
+ size 4920
out/glu-s10-21L_run/training_log.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
out/glu-situglu-21L_run/README.md ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: ACTio-glu-situglu-21L
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # ACTio-glu-situglu-21L
14
+
15
+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 0.2260
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 0.0003
37
+ - train_batch_size: 64
38
+ - eval_batch_size: 64
39
+ - seed: 42
40
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
41
+ - lr_scheduler_type: constant
42
+ - training_steps: 2000
43
+
44
+ ### Training results
45
+
46
+ | Training Loss | Epoch | Step | Validation Loss |
47
+ |:-------------:|:------:|:----:|:---------------:|
48
+ | 3.5706 | 0.0135 | 200 | 3.3888 |
49
+ | 1.0316 | 0.0270 | 400 | 0.9727 |
50
+ | 0.4497 | 0.0404 | 600 | 0.4427 |
51
+ | 0.3517 | 0.0539 | 800 | 0.3524 |
52
+ | 0.3066 | 0.0674 | 1000 | 0.3055 |
53
+ | 0.2826 | 0.0809 | 1200 | 0.2804 |
54
+ | 0.2555 | 0.0944 | 1400 | 0.2571 |
55
+ | 0.2742 | 0.1079 | 1600 | 0.2722 |
56
+ | 0.2340 | 0.1213 | 1800 | 0.2329 |
57
+ | 0.2245 | 0.1348 | 2000 | 0.2260 |
58
+
59
+
60
+ ### Framework versions
61
+
62
+ - Transformers 5.15.0.dev0
63
+ - Pytorch 2.6.0+cu124
64
+ - Datasets 5.0.1
65
+ - Tokenizers 0.22.2
out/glu-situglu-21L_run/checkpoint-1000/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "situglu",
3
+ "architectures": [
4
+ "TinyLlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 2,
11
+ "head_dim": 32,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 128,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 256,
16
+ "max_position_embeddings": 512,
17
+ "mlp_bias": false,
18
+ "mlp_type": "glu",
19
+ "model_type": "tiny_llama",
20
+ "num_attention_heads": 4,
21
+ "num_hidden_layers": 21,
22
+ "num_key_value_heads": 4,
23
+ "pad_token_id": 0,
24
+ "pretraining_tp": 1,
25
+ "rms_norm_eps": 1e-06,
26
+ "rope_parameters": {
27
+ "rope_theta": 10000.0,
28
+ "rope_type": "default"
29
+ },
30
+ "tie_word_embeddings": true,
31
+ "tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
32
+ "transformers_version": "5.15.0.dev0",
33
+ "use_cache": false,
34
+ "vocab_size": 4096
35
+ }
out/glu-situglu-21L_run/checkpoint-1000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41ce491ca031ddb2b619f9ed5889f7ed52321f2a30bc07125e2e03b9e36622fc
3
+ size 7961656
out/glu-situglu-21L_run/checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03b729dba4d2dc991d1e9f653b39772fe3864b0455443caa61d350bc2537e496
3
+ size 16041274
out/glu-situglu-21L_run/checkpoint-1000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95b6047bd8cc6f4cdf7c46dea47edb8e542435510070c6cd1e0a7d9ccf5fd7da
3
+ size 14244
out/glu-situglu-21L_run/checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5f71c5fa69d56807b14256b78700be6088fcb1bda0ff8e0ea6f8709a7df2fde
3
+ size 1064
out/glu-situglu-21L_run/checkpoint-1000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
out/glu-situglu-21L_run/checkpoint-1000/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": "<|endoftext|>",
5
+ "eos_token": "<|endoftext|>",
6
+ "errors": "replace",
7
+ "is_local": false,
8
+ "local_files_only": false,
9
+ "model_max_length": 1024,
10
+ "pad_token": "<|endoftext|>",
11
+ "tokenizer_class": "GPT2Tokenizer",
12
+ "unk_token": "<|endoftext|>"
13
+ }
out/glu-situglu-21L_run/checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,424 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.06740815638692282,
6
+ "eval_steps": 200,
7
+ "global_step": 1000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0013481631277384564,
14
+ "grad_norm": 1.2578125,
15
+ "learning_rate": 0.0003,
16
+ "loss": 7.813759613037109,
17
+ "step": 20
18
+ },
19
+ {
20
+ "epoch": 0.002696326255476913,
21
+ "grad_norm": 1.1796875,
22
+ "learning_rate": 0.0003,
23
+ "loss": 7.046382141113281,
24
+ "step": 40
25
+ },
26
+ {
27
+ "epoch": 0.004044489383215369,
28
+ "grad_norm": 0.98046875,
29
+ "learning_rate": 0.0003,
30
+ "loss": 6.4861198425292965,
31
+ "step": 60
32
+ },
33
+ {
34
+ "epoch": 0.005392652510953826,
35
+ "grad_norm": 1.046875,
36
+ "learning_rate": 0.0003,
37
+ "loss": 6.114296722412109,
38
+ "step": 80
39
+ },
40
+ {
41
+ "epoch": 0.006740815638692282,
42
+ "grad_norm": 2.375,
43
+ "learning_rate": 0.0003,
44
+ "loss": 5.7780506134033205,
45
+ "step": 100
46
+ },
47
+ {
48
+ "epoch": 0.008088978766430738,
49
+ "grad_norm": 1.4921875,
50
+ "learning_rate": 0.0003,
51
+ "loss": 5.281050491333008,
52
+ "step": 120
53
+ },
54
+ {
55
+ "epoch": 0.009437141894169195,
56
+ "grad_norm": 2.953125,
57
+ "learning_rate": 0.0003,
58
+ "loss": 4.785240554809571,
59
+ "step": 140
60
+ },
61
+ {
62
+ "epoch": 0.010785305021907651,
63
+ "grad_norm": 2.921875,
64
+ "learning_rate": 0.0003,
65
+ "loss": 4.324177551269531,
66
+ "step": 160
67
+ },
68
+ {
69
+ "epoch": 0.012133468149646108,
70
+ "grad_norm": 2.65625,
71
+ "learning_rate": 0.0003,
72
+ "loss": 3.9370296478271483,
73
+ "step": 180
74
+ },
75
+ {
76
+ "epoch": 0.013481631277384564,
77
+ "grad_norm": 2.78125,
78
+ "learning_rate": 0.0003,
79
+ "loss": 3.5706451416015623,
80
+ "step": 200
81
+ },
82
+ {
83
+ "epoch": 0.013481631277384564,
84
+ "eval_loss": 3.388801336288452,
85
+ "eval_runtime": 9.9378,
86
+ "eval_samples_per_second": 958.66,
87
+ "eval_steps_per_second": 14.993,
88
+ "step": 200
89
+ },
90
+ {
91
+ "epoch": 0.01482979440512302,
92
+ "grad_norm": 3.21875,
93
+ "learning_rate": 0.0003,
94
+ "loss": 3.235015106201172,
95
+ "step": 220
96
+ },
97
+ {
98
+ "epoch": 0.016177957532861477,
99
+ "grad_norm": 2.25,
100
+ "learning_rate": 0.0003,
101
+ "loss": 2.9087091445922852,
102
+ "step": 240
103
+ },
104
+ {
105
+ "epoch": 0.01752612066059993,
106
+ "grad_norm": 1.984375,
107
+ "learning_rate": 0.0003,
108
+ "loss": 2.606447219848633,
109
+ "step": 260
110
+ },
111
+ {
112
+ "epoch": 0.01887428378833839,
113
+ "grad_norm": 2.28125,
114
+ "learning_rate": 0.0003,
115
+ "loss": 2.309796142578125,
116
+ "step": 280
117
+ },
118
+ {
119
+ "epoch": 0.020222446916076844,
120
+ "grad_norm": 1.5859375,
121
+ "learning_rate": 0.0003,
122
+ "loss": 2.038427734375,
123
+ "step": 300
124
+ },
125
+ {
126
+ "epoch": 0.021570610043815303,
127
+ "grad_norm": 1.65625,
128
+ "learning_rate": 0.0003,
129
+ "loss": 1.7724691390991212,
130
+ "step": 320
131
+ },
132
+ {
133
+ "epoch": 0.022918773171553757,
134
+ "grad_norm": 1.6171875,
135
+ "learning_rate": 0.0003,
136
+ "loss": 1.5364046096801758,
137
+ "step": 340
138
+ },
139
+ {
140
+ "epoch": 0.024266936299292215,
141
+ "grad_norm": 1.1171875,
142
+ "learning_rate": 0.0003,
143
+ "loss": 1.3601617813110352,
144
+ "step": 360
145
+ },
146
+ {
147
+ "epoch": 0.02561509942703067,
148
+ "grad_norm": 1.203125,
149
+ "learning_rate": 0.0003,
150
+ "loss": 1.1919203758239747,
151
+ "step": 380
152
+ },
153
+ {
154
+ "epoch": 0.026963262554769128,
155
+ "grad_norm": 0.97265625,
156
+ "learning_rate": 0.0003,
157
+ "loss": 1.031599998474121,
158
+ "step": 400
159
+ },
160
+ {
161
+ "epoch": 0.026963262554769128,
162
+ "eval_loss": 0.9726812839508057,
163
+ "eval_runtime": 9.9094,
164
+ "eval_samples_per_second": 961.411,
165
+ "eval_steps_per_second": 15.036,
166
+ "step": 400
167
+ },
168
+ {
169
+ "epoch": 0.028311425682507583,
170
+ "grad_norm": 1.078125,
171
+ "learning_rate": 0.0003,
172
+ "loss": 0.9072963714599609,
173
+ "step": 420
174
+ },
175
+ {
176
+ "epoch": 0.02965958881024604,
177
+ "grad_norm": 1.0859375,
178
+ "learning_rate": 0.0003,
179
+ "loss": 0.8252955436706543,
180
+ "step": 440
181
+ },
182
+ {
183
+ "epoch": 0.031007751937984496,
184
+ "grad_norm": 0.458984375,
185
+ "learning_rate": 0.0003,
186
+ "loss": 0.7282839775085449,
187
+ "step": 460
188
+ },
189
+ {
190
+ "epoch": 0.032355915065722954,
191
+ "grad_norm": 0.48828125,
192
+ "learning_rate": 0.0003,
193
+ "loss": 0.6567337512969971,
194
+ "step": 480
195
+ },
196
+ {
197
+ "epoch": 0.03370407819346141,
198
+ "grad_norm": 0.380859375,
199
+ "learning_rate": 0.0003,
200
+ "loss": 0.5960001945495605,
201
+ "step": 500
202
+ },
203
+ {
204
+ "epoch": 0.03505224132119986,
205
+ "grad_norm": 0.359375,
206
+ "learning_rate": 0.0003,
207
+ "loss": 0.5524660587310791,
208
+ "step": 520
209
+ },
210
+ {
211
+ "epoch": 0.03640040444893832,
212
+ "grad_norm": 0.373046875,
213
+ "learning_rate": 0.0003,
214
+ "loss": 0.5125324249267578,
215
+ "step": 540
216
+ },
217
+ {
218
+ "epoch": 0.03774856757667678,
219
+ "grad_norm": 0.37109375,
220
+ "learning_rate": 0.0003,
221
+ "loss": 0.4881768226623535,
222
+ "step": 560
223
+ },
224
+ {
225
+ "epoch": 0.03909673070441524,
226
+ "grad_norm": 0.35546875,
227
+ "learning_rate": 0.0003,
228
+ "loss": 0.463836669921875,
229
+ "step": 580
230
+ },
231
+ {
232
+ "epoch": 0.04044489383215369,
233
+ "grad_norm": 0.345703125,
234
+ "learning_rate": 0.0003,
235
+ "loss": 0.44971308708190916,
236
+ "step": 600
237
+ },
238
+ {
239
+ "epoch": 0.04044489383215369,
240
+ "eval_loss": 0.4426644444465637,
241
+ "eval_runtime": 9.9173,
242
+ "eval_samples_per_second": 960.644,
243
+ "eval_steps_per_second": 15.024,
244
+ "step": 600
245
+ },
246
+ {
247
+ "epoch": 0.04179305695989215,
248
+ "grad_norm": 0.365234375,
249
+ "learning_rate": 0.0003,
250
+ "loss": 0.4324655055999756,
251
+ "step": 620
252
+ },
253
+ {
254
+ "epoch": 0.043141220087630605,
255
+ "grad_norm": 0.392578125,
256
+ "learning_rate": 0.0003,
257
+ "loss": 0.4214168548583984,
258
+ "step": 640
259
+ },
260
+ {
261
+ "epoch": 0.044489383215369056,
262
+ "grad_norm": 1.4375,
263
+ "learning_rate": 0.0003,
264
+ "loss": 0.4324348449707031,
265
+ "step": 660
266
+ },
267
+ {
268
+ "epoch": 0.045837546343107514,
269
+ "grad_norm": 0.48046875,
270
+ "learning_rate": 0.0003,
271
+ "loss": 0.4121569633483887,
272
+ "step": 680
273
+ },
274
+ {
275
+ "epoch": 0.04718570947084597,
276
+ "grad_norm": 0.3203125,
277
+ "learning_rate": 0.0003,
278
+ "loss": 0.3938265800476074,
279
+ "step": 700
280
+ },
281
+ {
282
+ "epoch": 0.04853387259858443,
283
+ "grad_norm": 0.28515625,
284
+ "learning_rate": 0.0003,
285
+ "loss": 0.3844801664352417,
286
+ "step": 720
287
+ },
288
+ {
289
+ "epoch": 0.04988203572632288,
290
+ "grad_norm": 0.294921875,
291
+ "learning_rate": 0.0003,
292
+ "loss": 0.3729189395904541,
293
+ "step": 740
294
+ },
295
+ {
296
+ "epoch": 0.05123019885406134,
297
+ "grad_norm": 0.28125,
298
+ "learning_rate": 0.0003,
299
+ "loss": 0.3688415765762329,
300
+ "step": 760
301
+ },
302
+ {
303
+ "epoch": 0.0525783619817998,
304
+ "grad_norm": 0.279296875,
305
+ "learning_rate": 0.0003,
306
+ "loss": 0.36176743507385256,
307
+ "step": 780
308
+ },
309
+ {
310
+ "epoch": 0.053926525109538256,
311
+ "grad_norm": 0.345703125,
312
+ "learning_rate": 0.0003,
313
+ "loss": 0.3517471790313721,
314
+ "step": 800
315
+ },
316
+ {
317
+ "epoch": 0.053926525109538256,
318
+ "eval_loss": 0.35235798358917236,
319
+ "eval_runtime": 10.0631,
320
+ "eval_samples_per_second": 946.728,
321
+ "eval_steps_per_second": 14.807,
322
+ "step": 800
323
+ },
324
+ {
325
+ "epoch": 0.05527468823727671,
326
+ "grad_norm": 0.294921875,
327
+ "learning_rate": 0.0003,
328
+ "loss": 0.34776208400726316,
329
+ "step": 820
330
+ },
331
+ {
332
+ "epoch": 0.056622851365015166,
333
+ "grad_norm": 0.31640625,
334
+ "learning_rate": 0.0003,
335
+ "loss": 0.34154040813446046,
336
+ "step": 840
337
+ },
338
+ {
339
+ "epoch": 0.057971014492753624,
340
+ "grad_norm": 0.279296875,
341
+ "learning_rate": 0.0003,
342
+ "loss": 0.3332885980606079,
343
+ "step": 860
344
+ },
345
+ {
346
+ "epoch": 0.05931917762049208,
347
+ "grad_norm": 0.279296875,
348
+ "learning_rate": 0.0003,
349
+ "loss": 0.3266940116882324,
350
+ "step": 880
351
+ },
352
+ {
353
+ "epoch": 0.06066734074823053,
354
+ "grad_norm": 0.306640625,
355
+ "learning_rate": 0.0003,
356
+ "loss": 0.32539618015289307,
357
+ "step": 900
358
+ },
359
+ {
360
+ "epoch": 0.06201550387596899,
361
+ "grad_norm": 0.294921875,
362
+ "learning_rate": 0.0003,
363
+ "loss": 0.32114400863647463,
364
+ "step": 920
365
+ },
366
+ {
367
+ "epoch": 0.06336366700370745,
368
+ "grad_norm": 0.296875,
369
+ "learning_rate": 0.0003,
370
+ "loss": 0.31635844707489014,
371
+ "step": 940
372
+ },
373
+ {
374
+ "epoch": 0.06471183013144591,
375
+ "grad_norm": 0.31640625,
376
+ "learning_rate": 0.0003,
377
+ "loss": 0.31109464168548584,
378
+ "step": 960
379
+ },
380
+ {
381
+ "epoch": 0.06605999325918437,
382
+ "grad_norm": 0.3046875,
383
+ "learning_rate": 0.0003,
384
+ "loss": 0.30814523696899415,
385
+ "step": 980
386
+ },
387
+ {
388
+ "epoch": 0.06740815638692282,
389
+ "grad_norm": 0.322265625,
390
+ "learning_rate": 0.0003,
391
+ "loss": 0.3065646648406982,
392
+ "step": 1000
393
+ },
394
+ {
395
+ "epoch": 0.06740815638692282,
396
+ "eval_loss": 0.3054979145526886,
397
+ "eval_runtime": 9.9252,
398
+ "eval_samples_per_second": 959.884,
399
+ "eval_steps_per_second": 15.012,
400
+ "step": 1000
401
+ }
402
+ ],
403
+ "logging_steps": 20,
404
+ "max_steps": 2000,
405
+ "num_input_tokens_seen": 0,
406
+ "num_train_epochs": 1,
407
+ "save_steps": 500,
408
+ "stateful_callbacks": {
409
+ "TrainerControl": {
410
+ "args": {
411
+ "should_epoch_stop": false,
412
+ "should_evaluate": false,
413
+ "should_log": false,
414
+ "should_save": true,
415
+ "should_training_stop": false
416
+ },
417
+ "attributes": {}
418
+ }
419
+ },
420
+ "total_flos": 677539479552000.0,
421
+ "train_batch_size": 64,
422
+ "trial_name": null,
423
+ "trial_params": null
424
+ }
out/glu-situglu-21L_run/checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:711ad909475cdef5e2f24026d199875e77c559083ded851f0b6f7b4ae9dadd26
3
+ size 4920
out/glu-situglu-21L_run/checkpoint-1500/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "situglu",
3
+ "architectures": [
4
+ "TinyLlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 2,
11
+ "head_dim": 32,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 128,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 256,
16
+ "max_position_embeddings": 512,
17
+ "mlp_bias": false,
18
+ "mlp_type": "glu",
19
+ "model_type": "tiny_llama",
20
+ "num_attention_heads": 4,
21
+ "num_hidden_layers": 21,
22
+ "num_key_value_heads": 4,
23
+ "pad_token_id": 0,
24
+ "pretraining_tp": 1,
25
+ "rms_norm_eps": 1e-06,
26
+ "rope_parameters": {
27
+ "rope_theta": 10000.0,
28
+ "rope_type": "default"
29
+ },
30
+ "tie_word_embeddings": true,
31
+ "tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
32
+ "transformers_version": "5.15.0.dev0",
33
+ "use_cache": false,
34
+ "vocab_size": 4096
35
+ }
out/glu-situglu-21L_run/checkpoint-1500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93e1399215197617ca35ca2f27faf97ee34e1ef27c3d4598f18ca907c6573566
3
+ size 7961656
out/glu-situglu-21L_run/checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:709995f82c3348151774e9986bf8619392657fecd99ea348c4b5a46b3c9eb43d
3
+ size 16041274
out/glu-situglu-21L_run/checkpoint-1500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2768285b45b2a0c05f6f50bbb8c0287fca6f62a8cde6d1b1f02151ac72ee8dc
3
+ size 14244
out/glu-situglu-21L_run/checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b26a759cc207e28dea06eae7ad531c2dd78a09978f6972edbfc1566adccd7142
3
+ size 1064
out/glu-situglu-21L_run/checkpoint-1500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
out/glu-situglu-21L_run/checkpoint-1500/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": "<|endoftext|>",
5
+ "eos_token": "<|endoftext|>",
6
+ "errors": "replace",
7
+ "is_local": false,
8
+ "local_files_only": false,
9
+ "model_max_length": 1024,
10
+ "pad_token": "<|endoftext|>",
11
+ "tokenizer_class": "GPT2Tokenizer",
12
+ "unk_token": "<|endoftext|>"
13
+ }
out/glu-situglu-21L_run/checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,615 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.10111223458038422,
6
+ "eval_steps": 200,
7
+ "global_step": 1500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0013481631277384564,
14
+ "grad_norm": 1.2578125,
15
+ "learning_rate": 0.0003,
16
+ "loss": 7.813759613037109,
17
+ "step": 20
18
+ },
19
+ {
20
+ "epoch": 0.002696326255476913,
21
+ "grad_norm": 1.1796875,
22
+ "learning_rate": 0.0003,
23
+ "loss": 7.046382141113281,
24
+ "step": 40
25
+ },
26
+ {
27
+ "epoch": 0.004044489383215369,
28
+ "grad_norm": 0.98046875,
29
+ "learning_rate": 0.0003,
30
+ "loss": 6.4861198425292965,
31
+ "step": 60
32
+ },
33
+ {
34
+ "epoch": 0.005392652510953826,
35
+ "grad_norm": 1.046875,
36
+ "learning_rate": 0.0003,
37
+ "loss": 6.114296722412109,
38
+ "step": 80
39
+ },
40
+ {
41
+ "epoch": 0.006740815638692282,
42
+ "grad_norm": 2.375,
43
+ "learning_rate": 0.0003,
44
+ "loss": 5.7780506134033205,
45
+ "step": 100
46
+ },
47
+ {
48
+ "epoch": 0.008088978766430738,
49
+ "grad_norm": 1.4921875,
50
+ "learning_rate": 0.0003,
51
+ "loss": 5.281050491333008,
52
+ "step": 120
53
+ },
54
+ {
55
+ "epoch": 0.009437141894169195,
56
+ "grad_norm": 2.953125,
57
+ "learning_rate": 0.0003,
58
+ "loss": 4.785240554809571,
59
+ "step": 140
60
+ },
61
+ {
62
+ "epoch": 0.010785305021907651,
63
+ "grad_norm": 2.921875,
64
+ "learning_rate": 0.0003,
65
+ "loss": 4.324177551269531,
66
+ "step": 160
67
+ },
68
+ {
69
+ "epoch": 0.012133468149646108,
70
+ "grad_norm": 2.65625,
71
+ "learning_rate": 0.0003,
72
+ "loss": 3.9370296478271483,
73
+ "step": 180
74
+ },
75
+ {
76
+ "epoch": 0.013481631277384564,
77
+ "grad_norm": 2.78125,
78
+ "learning_rate": 0.0003,
79
+ "loss": 3.5706451416015623,
80
+ "step": 200
81
+ },
82
+ {
83
+ "epoch": 0.013481631277384564,
84
+ "eval_loss": 3.388801336288452,
85
+ "eval_runtime": 9.9378,
86
+ "eval_samples_per_second": 958.66,
87
+ "eval_steps_per_second": 14.993,
88
+ "step": 200
89
+ },
90
+ {
91
+ "epoch": 0.01482979440512302,
92
+ "grad_norm": 3.21875,
93
+ "learning_rate": 0.0003,
94
+ "loss": 3.235015106201172,
95
+ "step": 220
96
+ },
97
+ {
98
+ "epoch": 0.016177957532861477,
99
+ "grad_norm": 2.25,
100
+ "learning_rate": 0.0003,
101
+ "loss": 2.9087091445922852,
102
+ "step": 240
103
+ },
104
+ {
105
+ "epoch": 0.01752612066059993,
106
+ "grad_norm": 1.984375,
107
+ "learning_rate": 0.0003,
108
+ "loss": 2.606447219848633,
109
+ "step": 260
110
+ },
111
+ {
112
+ "epoch": 0.01887428378833839,
113
+ "grad_norm": 2.28125,
114
+ "learning_rate": 0.0003,
115
+ "loss": 2.309796142578125,
116
+ "step": 280
117
+ },
118
+ {
119
+ "epoch": 0.020222446916076844,
120
+ "grad_norm": 1.5859375,
121
+ "learning_rate": 0.0003,
122
+ "loss": 2.038427734375,
123
+ "step": 300
124
+ },
125
+ {
126
+ "epoch": 0.021570610043815303,
127
+ "grad_norm": 1.65625,
128
+ "learning_rate": 0.0003,
129
+ "loss": 1.7724691390991212,
130
+ "step": 320
131
+ },
132
+ {
133
+ "epoch": 0.022918773171553757,
134
+ "grad_norm": 1.6171875,
135
+ "learning_rate": 0.0003,
136
+ "loss": 1.5364046096801758,
137
+ "step": 340
138
+ },
139
+ {
140
+ "epoch": 0.024266936299292215,
141
+ "grad_norm": 1.1171875,
142
+ "learning_rate": 0.0003,
143
+ "loss": 1.3601617813110352,
144
+ "step": 360
145
+ },
146
+ {
147
+ "epoch": 0.02561509942703067,
148
+ "grad_norm": 1.203125,
149
+ "learning_rate": 0.0003,
150
+ "loss": 1.1919203758239747,
151
+ "step": 380
152
+ },
153
+ {
154
+ "epoch": 0.026963262554769128,
155
+ "grad_norm": 0.97265625,
156
+ "learning_rate": 0.0003,
157
+ "loss": 1.031599998474121,
158
+ "step": 400
159
+ },
160
+ {
161
+ "epoch": 0.026963262554769128,
162
+ "eval_loss": 0.9726812839508057,
163
+ "eval_runtime": 9.9094,
164
+ "eval_samples_per_second": 961.411,
165
+ "eval_steps_per_second": 15.036,
166
+ "step": 400
167
+ },
168
+ {
169
+ "epoch": 0.028311425682507583,
170
+ "grad_norm": 1.078125,
171
+ "learning_rate": 0.0003,
172
+ "loss": 0.9072963714599609,
173
+ "step": 420
174
+ },
175
+ {
176
+ "epoch": 0.02965958881024604,
177
+ "grad_norm": 1.0859375,
178
+ "learning_rate": 0.0003,
179
+ "loss": 0.8252955436706543,
180
+ "step": 440
181
+ },
182
+ {
183
+ "epoch": 0.031007751937984496,
184
+ "grad_norm": 0.458984375,
185
+ "learning_rate": 0.0003,
186
+ "loss": 0.7282839775085449,
187
+ "step": 460
188
+ },
189
+ {
190
+ "epoch": 0.032355915065722954,
191
+ "grad_norm": 0.48828125,
192
+ "learning_rate": 0.0003,
193
+ "loss": 0.6567337512969971,
194
+ "step": 480
195
+ },
196
+ {
197
+ "epoch": 0.03370407819346141,
198
+ "grad_norm": 0.380859375,
199
+ "learning_rate": 0.0003,
200
+ "loss": 0.5960001945495605,
201
+ "step": 500
202
+ },
203
+ {
204
+ "epoch": 0.03505224132119986,
205
+ "grad_norm": 0.359375,
206
+ "learning_rate": 0.0003,
207
+ "loss": 0.5524660587310791,
208
+ "step": 520
209
+ },
210
+ {
211
+ "epoch": 0.03640040444893832,
212
+ "grad_norm": 0.373046875,
213
+ "learning_rate": 0.0003,
214
+ "loss": 0.5125324249267578,
215
+ "step": 540
216
+ },
217
+ {
218
+ "epoch": 0.03774856757667678,
219
+ "grad_norm": 0.37109375,
220
+ "learning_rate": 0.0003,
221
+ "loss": 0.4881768226623535,
222
+ "step": 560
223
+ },
224
+ {
225
+ "epoch": 0.03909673070441524,
226
+ "grad_norm": 0.35546875,
227
+ "learning_rate": 0.0003,
228
+ "loss": 0.463836669921875,
229
+ "step": 580
230
+ },
231
+ {
232
+ "epoch": 0.04044489383215369,
233
+ "grad_norm": 0.345703125,
234
+ "learning_rate": 0.0003,
235
+ "loss": 0.44971308708190916,
236
+ "step": 600
237
+ },
238
+ {
239
+ "epoch": 0.04044489383215369,
240
+ "eval_loss": 0.4426644444465637,
241
+ "eval_runtime": 9.9173,
242
+ "eval_samples_per_second": 960.644,
243
+ "eval_steps_per_second": 15.024,
244
+ "step": 600
245
+ },
246
+ {
247
+ "epoch": 0.04179305695989215,
248
+ "grad_norm": 0.365234375,
249
+ "learning_rate": 0.0003,
250
+ "loss": 0.4324655055999756,
251
+ "step": 620
252
+ },
253
+ {
254
+ "epoch": 0.043141220087630605,
255
+ "grad_norm": 0.392578125,
256
+ "learning_rate": 0.0003,
257
+ "loss": 0.4214168548583984,
258
+ "step": 640
259
+ },
260
+ {
261
+ "epoch": 0.044489383215369056,
262
+ "grad_norm": 1.4375,
263
+ "learning_rate": 0.0003,
264
+ "loss": 0.4324348449707031,
265
+ "step": 660
266
+ },
267
+ {
268
+ "epoch": 0.045837546343107514,
269
+ "grad_norm": 0.48046875,
270
+ "learning_rate": 0.0003,
271
+ "loss": 0.4121569633483887,
272
+ "step": 680
273
+ },
274
+ {
275
+ "epoch": 0.04718570947084597,
276
+ "grad_norm": 0.3203125,
277
+ "learning_rate": 0.0003,
278
+ "loss": 0.3938265800476074,
279
+ "step": 700
280
+ },
281
+ {
282
+ "epoch": 0.04853387259858443,
283
+ "grad_norm": 0.28515625,
284
+ "learning_rate": 0.0003,
285
+ "loss": 0.3844801664352417,
286
+ "step": 720
287
+ },
288
+ {
289
+ "epoch": 0.04988203572632288,
290
+ "grad_norm": 0.294921875,
291
+ "learning_rate": 0.0003,
292
+ "loss": 0.3729189395904541,
293
+ "step": 740
294
+ },
295
+ {
296
+ "epoch": 0.05123019885406134,
297
+ "grad_norm": 0.28125,
298
+ "learning_rate": 0.0003,
299
+ "loss": 0.3688415765762329,
300
+ "step": 760
301
+ },
302
+ {
303
+ "epoch": 0.0525783619817998,
304
+ "grad_norm": 0.279296875,
305
+ "learning_rate": 0.0003,
306
+ "loss": 0.36176743507385256,
307
+ "step": 780
308
+ },
309
+ {
310
+ "epoch": 0.053926525109538256,
311
+ "grad_norm": 0.345703125,
312
+ "learning_rate": 0.0003,
313
+ "loss": 0.3517471790313721,
314
+ "step": 800
315
+ },
316
+ {
317
+ "epoch": 0.053926525109538256,
318
+ "eval_loss": 0.35235798358917236,
319
+ "eval_runtime": 10.0631,
320
+ "eval_samples_per_second": 946.728,
321
+ "eval_steps_per_second": 14.807,
322
+ "step": 800
323
+ },
324
+ {
325
+ "epoch": 0.05527468823727671,
326
+ "grad_norm": 0.294921875,
327
+ "learning_rate": 0.0003,
328
+ "loss": 0.34776208400726316,
329
+ "step": 820
330
+ },
331
+ {
332
+ "epoch": 0.056622851365015166,
333
+ "grad_norm": 0.31640625,
334
+ "learning_rate": 0.0003,
335
+ "loss": 0.34154040813446046,
336
+ "step": 840
337
+ },
338
+ {
339
+ "epoch": 0.057971014492753624,
340
+ "grad_norm": 0.279296875,
341
+ "learning_rate": 0.0003,
342
+ "loss": 0.3332885980606079,
343
+ "step": 860
344
+ },
345
+ {
346
+ "epoch": 0.05931917762049208,
347
+ "grad_norm": 0.279296875,
348
+ "learning_rate": 0.0003,
349
+ "loss": 0.3266940116882324,
350
+ "step": 880
351
+ },
352
+ {
353
+ "epoch": 0.06066734074823053,
354
+ "grad_norm": 0.306640625,
355
+ "learning_rate": 0.0003,
356
+ "loss": 0.32539618015289307,
357
+ "step": 900
358
+ },
359
+ {
360
+ "epoch": 0.06201550387596899,
361
+ "grad_norm": 0.294921875,
362
+ "learning_rate": 0.0003,
363
+ "loss": 0.32114400863647463,
364
+ "step": 920
365
+ },
366
+ {
367
+ "epoch": 0.06336366700370745,
368
+ "grad_norm": 0.296875,
369
+ "learning_rate": 0.0003,
370
+ "loss": 0.31635844707489014,
371
+ "step": 940
372
+ },
373
+ {
374
+ "epoch": 0.06471183013144591,
375
+ "grad_norm": 0.31640625,
376
+ "learning_rate": 0.0003,
377
+ "loss": 0.31109464168548584,
378
+ "step": 960
379
+ },
380
+ {
381
+ "epoch": 0.06605999325918437,
382
+ "grad_norm": 0.3046875,
383
+ "learning_rate": 0.0003,
384
+ "loss": 0.30814523696899415,
385
+ "step": 980
386
+ },
387
+ {
388
+ "epoch": 0.06740815638692282,
389
+ "grad_norm": 0.322265625,
390
+ "learning_rate": 0.0003,
391
+ "loss": 0.3065646648406982,
392
+ "step": 1000
393
+ },
394
+ {
395
+ "epoch": 0.06740815638692282,
396
+ "eval_loss": 0.3054979145526886,
397
+ "eval_runtime": 9.9252,
398
+ "eval_samples_per_second": 959.884,
399
+ "eval_steps_per_second": 15.012,
400
+ "step": 1000
401
+ },
402
+ {
403
+ "epoch": 0.06875631951466127,
404
+ "grad_norm": 0.294921875,
405
+ "learning_rate": 0.0003,
406
+ "loss": 0.3009540796279907,
407
+ "step": 1020
408
+ },
409
+ {
410
+ "epoch": 0.07010448264239973,
411
+ "grad_norm": 0.337890625,
412
+ "learning_rate": 0.0003,
413
+ "loss": 0.29650895595550536,
414
+ "step": 1040
415
+ },
416
+ {
417
+ "epoch": 0.07145264577013818,
418
+ "grad_norm": 0.3046875,
419
+ "learning_rate": 0.0003,
420
+ "loss": 0.2952280521392822,
421
+ "step": 1060
422
+ },
423
+ {
424
+ "epoch": 0.07280080889787664,
425
+ "grad_norm": 0.30078125,
426
+ "learning_rate": 0.0003,
427
+ "loss": 0.2900059461593628,
428
+ "step": 1080
429
+ },
430
+ {
431
+ "epoch": 0.0741489720256151,
432
+ "grad_norm": 1.359375,
433
+ "learning_rate": 0.0003,
434
+ "loss": 0.3038396596908569,
435
+ "step": 1100
436
+ },
437
+ {
438
+ "epoch": 0.07549713515335356,
439
+ "grad_norm": 1.1796875,
440
+ "learning_rate": 0.0003,
441
+ "loss": 0.3016719102859497,
442
+ "step": 1120
443
+ },
444
+ {
445
+ "epoch": 0.07684529828109202,
446
+ "grad_norm": 0.326171875,
447
+ "learning_rate": 0.0003,
448
+ "loss": 0.2863359212875366,
449
+ "step": 1140
450
+ },
451
+ {
452
+ "epoch": 0.07819346140883048,
453
+ "grad_norm": 0.2734375,
454
+ "learning_rate": 0.0003,
455
+ "loss": 0.28296785354614257,
456
+ "step": 1160
457
+ },
458
+ {
459
+ "epoch": 0.07954162453656892,
460
+ "grad_norm": 0.75,
461
+ "learning_rate": 0.0003,
462
+ "loss": 0.2871352434158325,
463
+ "step": 1180
464
+ },
465
+ {
466
+ "epoch": 0.08088978766430738,
467
+ "grad_norm": 0.3046875,
468
+ "learning_rate": 0.0003,
469
+ "loss": 0.2826373100280762,
470
+ "step": 1200
471
+ },
472
+ {
473
+ "epoch": 0.08088978766430738,
474
+ "eval_loss": 0.28042274713516235,
475
+ "eval_runtime": 9.9396,
476
+ "eval_samples_per_second": 958.493,
477
+ "eval_steps_per_second": 14.991,
478
+ "step": 1200
479
+ },
480
+ {
481
+ "epoch": 0.08223795079204584,
482
+ "grad_norm": 0.259765625,
483
+ "learning_rate": 0.0003,
484
+ "loss": 0.2763340473175049,
485
+ "step": 1220
486
+ },
487
+ {
488
+ "epoch": 0.0835861139197843,
489
+ "grad_norm": 0.2470703125,
490
+ "learning_rate": 0.0003,
491
+ "loss": 0.2739908695220947,
492
+ "step": 1240
493
+ },
494
+ {
495
+ "epoch": 0.08493427704752275,
496
+ "grad_norm": 0.2470703125,
497
+ "learning_rate": 0.0003,
498
+ "loss": 0.27242236137390136,
499
+ "step": 1260
500
+ },
501
+ {
502
+ "epoch": 0.08628244017526121,
503
+ "grad_norm": 0.2470703125,
504
+ "learning_rate": 0.0003,
505
+ "loss": 0.2671719789505005,
506
+ "step": 1280
507
+ },
508
+ {
509
+ "epoch": 0.08763060330299967,
510
+ "grad_norm": 0.2490234375,
511
+ "learning_rate": 0.0003,
512
+ "loss": 0.26690661907196045,
513
+ "step": 1300
514
+ },
515
+ {
516
+ "epoch": 0.08897876643073811,
517
+ "grad_norm": 0.2421875,
518
+ "learning_rate": 0.0003,
519
+ "loss": 0.2639945030212402,
520
+ "step": 1320
521
+ },
522
+ {
523
+ "epoch": 0.09032692955847657,
524
+ "grad_norm": 0.2421875,
525
+ "learning_rate": 0.0003,
526
+ "loss": 0.2623464584350586,
527
+ "step": 1340
528
+ },
529
+ {
530
+ "epoch": 0.09167509268621503,
531
+ "grad_norm": 0.244140625,
532
+ "learning_rate": 0.0003,
533
+ "loss": 0.25950236320495607,
534
+ "step": 1360
535
+ },
536
+ {
537
+ "epoch": 0.09302325581395349,
538
+ "grad_norm": 0.2412109375,
539
+ "learning_rate": 0.0003,
540
+ "loss": 0.2585299015045166,
541
+ "step": 1380
542
+ },
543
+ {
544
+ "epoch": 0.09437141894169195,
545
+ "grad_norm": 0.236328125,
546
+ "learning_rate": 0.0003,
547
+ "loss": 0.2554842233657837,
548
+ "step": 1400
549
+ },
550
+ {
551
+ "epoch": 0.09437141894169195,
552
+ "eval_loss": 0.2570951581001282,
553
+ "eval_runtime": 10.0287,
554
+ "eval_samples_per_second": 949.974,
555
+ "eval_steps_per_second": 14.857,
556
+ "step": 1400
557
+ },
558
+ {
559
+ "epoch": 0.0957195820694304,
560
+ "grad_norm": 0.2421875,
561
+ "learning_rate": 0.0003,
562
+ "loss": 0.25472869873046877,
563
+ "step": 1420
564
+ },
565
+ {
566
+ "epoch": 0.09706774519716886,
567
+ "grad_norm": 0.23828125,
568
+ "learning_rate": 0.0003,
569
+ "loss": 0.2515384674072266,
570
+ "step": 1440
571
+ },
572
+ {
573
+ "epoch": 0.09841590832490732,
574
+ "grad_norm": 0.236328125,
575
+ "learning_rate": 0.0003,
576
+ "loss": 0.24910502433776854,
577
+ "step": 1460
578
+ },
579
+ {
580
+ "epoch": 0.09976407145264576,
581
+ "grad_norm": 0.228515625,
582
+ "learning_rate": 0.0003,
583
+ "loss": 0.2469315767288208,
584
+ "step": 1480
585
+ },
586
+ {
587
+ "epoch": 0.10111223458038422,
588
+ "grad_norm": 0.236328125,
589
+ "learning_rate": 0.0003,
590
+ "loss": 0.24581990242004395,
591
+ "step": 1500
592
+ }
593
+ ],
594
+ "logging_steps": 20,
595
+ "max_steps": 2000,
596
+ "num_input_tokens_seen": 0,
597
+ "num_train_epochs": 1,
598
+ "save_steps": 500,
599
+ "stateful_callbacks": {
600
+ "TrainerControl": {
601
+ "args": {
602
+ "should_epoch_stop": false,
603
+ "should_evaluate": false,
604
+ "should_log": false,
605
+ "should_save": true,
606
+ "should_training_stop": false
607
+ },
608
+ "attributes": {}
609
+ }
610
+ },
611
+ "total_flos": 1016309219328000.0,
612
+ "train_batch_size": 64,
613
+ "trial_name": null,
614
+ "trial_params": null
615
+ }
out/glu-situglu-21L_run/checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:711ad909475cdef5e2f24026d199875e77c559083ded851f0b6f7b4ae9dadd26
3
+ size 4920
out/glu-situglu-21L_run/checkpoint-2000/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "situglu",
3
+ "architectures": [
4
+ "TinyLlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "dtype": "bfloat16",
10
+ "eos_token_id": 2,
11
+ "head_dim": 32,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 128,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 256,
16
+ "max_position_embeddings": 512,
17
+ "mlp_bias": false,
18
+ "mlp_type": "glu",
19
+ "model_type": "tiny_llama",
20
+ "num_attention_heads": 4,
21
+ "num_hidden_layers": 21,
22
+ "num_key_value_heads": 4,
23
+ "pad_token_id": 0,
24
+ "pretraining_tp": 1,
25
+ "rms_norm_eps": 1e-06,
26
+ "rope_parameters": {
27
+ "rope_theta": 10000.0,
28
+ "rope_type": "default"
29
+ },
30
+ "tie_word_embeddings": true,
31
+ "tokenizer_name": "w-ahmad/tiny-stories-tokenizer",
32
+ "transformers_version": "5.15.0.dev0",
33
+ "use_cache": false,
34
+ "vocab_size": 4096
35
+ }
out/glu-situglu-21L_run/checkpoint-2000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89b7f1f86990c23530b4b8391a262e32b97a3bb1431c29840afa07c7a1d9e7ba
3
+ size 7961656
out/glu-situglu-21L_run/checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb38cdaf1a520e20639060b5949a652dc37e7bbbe40192aa7527333b5762dc29
3
+ size 16041274
out/glu-situglu-21L_run/checkpoint-2000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1a97db8e41139aa1239ba7fb79ddeb0af5998c6305a440c1fe182e6ad02f2f5
3
+ size 14244
out/glu-situglu-21L_run/checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e91519ad666af6acc4beafd44aa617aefb90f632388a0f75cbf88f957400c190
3
+ size 1064
out/glu-situglu-21L_run/checkpoint-2000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
out/glu-situglu-21L_run/checkpoint-2000/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": "<|endoftext|>",
5
+ "eos_token": "<|endoftext|>",
6
+ "errors": "replace",
7
+ "is_local": false,
8
+ "local_files_only": false,
9
+ "model_max_length": 1024,
10
+ "pad_token": "<|endoftext|>",
11
+ "tokenizer_class": "GPT2Tokenizer",
12
+ "unk_token": "<|endoftext|>"
13
+ }
out/glu-situglu-21L_run/checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,814 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.13481631277384565,
6
+ "eval_steps": 200,
7
+ "global_step": 2000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0013481631277384564,
14
+ "grad_norm": 1.2578125,
15
+ "learning_rate": 0.0003,
16
+ "loss": 7.813759613037109,
17
+ "step": 20
18
+ },
19
+ {
20
+ "epoch": 0.002696326255476913,
21
+ "grad_norm": 1.1796875,
22
+ "learning_rate": 0.0003,
23
+ "loss": 7.046382141113281,
24
+ "step": 40
25
+ },
26
+ {
27
+ "epoch": 0.004044489383215369,
28
+ "grad_norm": 0.98046875,
29
+ "learning_rate": 0.0003,
30
+ "loss": 6.4861198425292965,
31
+ "step": 60
32
+ },
33
+ {
34
+ "epoch": 0.005392652510953826,
35
+ "grad_norm": 1.046875,
36
+ "learning_rate": 0.0003,
37
+ "loss": 6.114296722412109,
38
+ "step": 80
39
+ },
40
+ {
41
+ "epoch": 0.006740815638692282,
42
+ "grad_norm": 2.375,
43
+ "learning_rate": 0.0003,
44
+ "loss": 5.7780506134033205,
45
+ "step": 100
46
+ },
47
+ {
48
+ "epoch": 0.008088978766430738,
49
+ "grad_norm": 1.4921875,
50
+ "learning_rate": 0.0003,
51
+ "loss": 5.281050491333008,
52
+ "step": 120
53
+ },
54
+ {
55
+ "epoch": 0.009437141894169195,
56
+ "grad_norm": 2.953125,
57
+ "learning_rate": 0.0003,
58
+ "loss": 4.785240554809571,
59
+ "step": 140
60
+ },
61
+ {
62
+ "epoch": 0.010785305021907651,
63
+ "grad_norm": 2.921875,
64
+ "learning_rate": 0.0003,
65
+ "loss": 4.324177551269531,
66
+ "step": 160
67
+ },
68
+ {
69
+ "epoch": 0.012133468149646108,
70
+ "grad_norm": 2.65625,
71
+ "learning_rate": 0.0003,
72
+ "loss": 3.9370296478271483,
73
+ "step": 180
74
+ },
75
+ {
76
+ "epoch": 0.013481631277384564,
77
+ "grad_norm": 2.78125,
78
+ "learning_rate": 0.0003,
79
+ "loss": 3.5706451416015623,
80
+ "step": 200
81
+ },
82
+ {
83
+ "epoch": 0.013481631277384564,
84
+ "eval_loss": 3.388801336288452,
85
+ "eval_runtime": 9.9378,
86
+ "eval_samples_per_second": 958.66,
87
+ "eval_steps_per_second": 14.993,
88
+ "step": 200
89
+ },
90
+ {
91
+ "epoch": 0.01482979440512302,
92
+ "grad_norm": 3.21875,
93
+ "learning_rate": 0.0003,
94
+ "loss": 3.235015106201172,
95
+ "step": 220
96
+ },
97
+ {
98
+ "epoch": 0.016177957532861477,
99
+ "grad_norm": 2.25,
100
+ "learning_rate": 0.0003,
101
+ "loss": 2.9087091445922852,
102
+ "step": 240
103
+ },
104
+ {
105
+ "epoch": 0.01752612066059993,
106
+ "grad_norm": 1.984375,
107
+ "learning_rate": 0.0003,
108
+ "loss": 2.606447219848633,
109
+ "step": 260
110
+ },
111
+ {
112
+ "epoch": 0.01887428378833839,
113
+ "grad_norm": 2.28125,
114
+ "learning_rate": 0.0003,
115
+ "loss": 2.309796142578125,
116
+ "step": 280
117
+ },
118
+ {
119
+ "epoch": 0.020222446916076844,
120
+ "grad_norm": 1.5859375,
121
+ "learning_rate": 0.0003,
122
+ "loss": 2.038427734375,
123
+ "step": 300
124
+ },
125
+ {
126
+ "epoch": 0.021570610043815303,
127
+ "grad_norm": 1.65625,
128
+ "learning_rate": 0.0003,
129
+ "loss": 1.7724691390991212,
130
+ "step": 320
131
+ },
132
+ {
133
+ "epoch": 0.022918773171553757,
134
+ "grad_norm": 1.6171875,
135
+ "learning_rate": 0.0003,
136
+ "loss": 1.5364046096801758,
137
+ "step": 340
138
+ },
139
+ {
140
+ "epoch": 0.024266936299292215,
141
+ "grad_norm": 1.1171875,
142
+ "learning_rate": 0.0003,
143
+ "loss": 1.3601617813110352,
144
+ "step": 360
145
+ },
146
+ {
147
+ "epoch": 0.02561509942703067,
148
+ "grad_norm": 1.203125,
149
+ "learning_rate": 0.0003,
150
+ "loss": 1.1919203758239747,
151
+ "step": 380
152
+ },
153
+ {
154
+ "epoch": 0.026963262554769128,
155
+ "grad_norm": 0.97265625,
156
+ "learning_rate": 0.0003,
157
+ "loss": 1.031599998474121,
158
+ "step": 400
159
+ },
160
+ {
161
+ "epoch": 0.026963262554769128,
162
+ "eval_loss": 0.9726812839508057,
163
+ "eval_runtime": 9.9094,
164
+ "eval_samples_per_second": 961.411,
165
+ "eval_steps_per_second": 15.036,
166
+ "step": 400
167
+ },
168
+ {
169
+ "epoch": 0.028311425682507583,
170
+ "grad_norm": 1.078125,
171
+ "learning_rate": 0.0003,
172
+ "loss": 0.9072963714599609,
173
+ "step": 420
174
+ },
175
+ {
176
+ "epoch": 0.02965958881024604,
177
+ "grad_norm": 1.0859375,
178
+ "learning_rate": 0.0003,
179
+ "loss": 0.8252955436706543,
180
+ "step": 440
181
+ },
182
+ {
183
+ "epoch": 0.031007751937984496,
184
+ "grad_norm": 0.458984375,
185
+ "learning_rate": 0.0003,
186
+ "loss": 0.7282839775085449,
187
+ "step": 460
188
+ },
189
+ {
190
+ "epoch": 0.032355915065722954,
191
+ "grad_norm": 0.48828125,
192
+ "learning_rate": 0.0003,
193
+ "loss": 0.6567337512969971,
194
+ "step": 480
195
+ },
196
+ {
197
+ "epoch": 0.03370407819346141,
198
+ "grad_norm": 0.380859375,
199
+ "learning_rate": 0.0003,
200
+ "loss": 0.5960001945495605,
201
+ "step": 500
202
+ },
203
+ {
204
+ "epoch": 0.03505224132119986,
205
+ "grad_norm": 0.359375,
206
+ "learning_rate": 0.0003,
207
+ "loss": 0.5524660587310791,
208
+ "step": 520
209
+ },
210
+ {
211
+ "epoch": 0.03640040444893832,
212
+ "grad_norm": 0.373046875,
213
+ "learning_rate": 0.0003,
214
+ "loss": 0.5125324249267578,
215
+ "step": 540
216
+ },
217
+ {
218
+ "epoch": 0.03774856757667678,
219
+ "grad_norm": 0.37109375,
220
+ "learning_rate": 0.0003,
221
+ "loss": 0.4881768226623535,
222
+ "step": 560
223
+ },
224
+ {
225
+ "epoch": 0.03909673070441524,
226
+ "grad_norm": 0.35546875,
227
+ "learning_rate": 0.0003,
228
+ "loss": 0.463836669921875,
229
+ "step": 580
230
+ },
231
+ {
232
+ "epoch": 0.04044489383215369,
233
+ "grad_norm": 0.345703125,
234
+ "learning_rate": 0.0003,
235
+ "loss": 0.44971308708190916,
236
+ "step": 600
237
+ },
238
+ {
239
+ "epoch": 0.04044489383215369,
240
+ "eval_loss": 0.4426644444465637,
241
+ "eval_runtime": 9.9173,
242
+ "eval_samples_per_second": 960.644,
243
+ "eval_steps_per_second": 15.024,
244
+ "step": 600
245
+ },
246
+ {
247
+ "epoch": 0.04179305695989215,
248
+ "grad_norm": 0.365234375,
249
+ "learning_rate": 0.0003,
250
+ "loss": 0.4324655055999756,
251
+ "step": 620
252
+ },
253
+ {
254
+ "epoch": 0.043141220087630605,
255
+ "grad_norm": 0.392578125,
256
+ "learning_rate": 0.0003,
257
+ "loss": 0.4214168548583984,
258
+ "step": 640
259
+ },
260
+ {
261
+ "epoch": 0.044489383215369056,
262
+ "grad_norm": 1.4375,
263
+ "learning_rate": 0.0003,
264
+ "loss": 0.4324348449707031,
265
+ "step": 660
266
+ },
267
+ {
268
+ "epoch": 0.045837546343107514,
269
+ "grad_norm": 0.48046875,
270
+ "learning_rate": 0.0003,
271
+ "loss": 0.4121569633483887,
272
+ "step": 680
273
+ },
274
+ {
275
+ "epoch": 0.04718570947084597,
276
+ "grad_norm": 0.3203125,
277
+ "learning_rate": 0.0003,
278
+ "loss": 0.3938265800476074,
279
+ "step": 700
280
+ },
281
+ {
282
+ "epoch": 0.04853387259858443,
283
+ "grad_norm": 0.28515625,
284
+ "learning_rate": 0.0003,
285
+ "loss": 0.3844801664352417,
286
+ "step": 720
287
+ },
288
+ {
289
+ "epoch": 0.04988203572632288,
290
+ "grad_norm": 0.294921875,
291
+ "learning_rate": 0.0003,
292
+ "loss": 0.3729189395904541,
293
+ "step": 740
294
+ },
295
+ {
296
+ "epoch": 0.05123019885406134,
297
+ "grad_norm": 0.28125,
298
+ "learning_rate": 0.0003,
299
+ "loss": 0.3688415765762329,
300
+ "step": 760
301
+ },
302
+ {
303
+ "epoch": 0.0525783619817998,
304
+ "grad_norm": 0.279296875,
305
+ "learning_rate": 0.0003,
306
+ "loss": 0.36176743507385256,
307
+ "step": 780
308
+ },
309
+ {
310
+ "epoch": 0.053926525109538256,
311
+ "grad_norm": 0.345703125,
312
+ "learning_rate": 0.0003,
313
+ "loss": 0.3517471790313721,
314
+ "step": 800
315
+ },
316
+ {
317
+ "epoch": 0.053926525109538256,
318
+ "eval_loss": 0.35235798358917236,
319
+ "eval_runtime": 10.0631,
320
+ "eval_samples_per_second": 946.728,
321
+ "eval_steps_per_second": 14.807,
322
+ "step": 800
323
+ },
324
+ {
325
+ "epoch": 0.05527468823727671,
326
+ "grad_norm": 0.294921875,
327
+ "learning_rate": 0.0003,
328
+ "loss": 0.34776208400726316,
329
+ "step": 820
330
+ },
331
+ {
332
+ "epoch": 0.056622851365015166,
333
+ "grad_norm": 0.31640625,
334
+ "learning_rate": 0.0003,
335
+ "loss": 0.34154040813446046,
336
+ "step": 840
337
+ },
338
+ {
339
+ "epoch": 0.057971014492753624,
340
+ "grad_norm": 0.279296875,
341
+ "learning_rate": 0.0003,
342
+ "loss": 0.3332885980606079,
343
+ "step": 860
344
+ },
345
+ {
346
+ "epoch": 0.05931917762049208,
347
+ "grad_norm": 0.279296875,
348
+ "learning_rate": 0.0003,
349
+ "loss": 0.3266940116882324,
350
+ "step": 880
351
+ },
352
+ {
353
+ "epoch": 0.06066734074823053,
354
+ "grad_norm": 0.306640625,
355
+ "learning_rate": 0.0003,
356
+ "loss": 0.32539618015289307,
357
+ "step": 900
358
+ },
359
+ {
360
+ "epoch": 0.06201550387596899,
361
+ "grad_norm": 0.294921875,
362
+ "learning_rate": 0.0003,
363
+ "loss": 0.32114400863647463,
364
+ "step": 920
365
+ },
366
+ {
367
+ "epoch": 0.06336366700370745,
368
+ "grad_norm": 0.296875,
369
+ "learning_rate": 0.0003,
370
+ "loss": 0.31635844707489014,
371
+ "step": 940
372
+ },
373
+ {
374
+ "epoch": 0.06471183013144591,
375
+ "grad_norm": 0.31640625,
376
+ "learning_rate": 0.0003,
377
+ "loss": 0.31109464168548584,
378
+ "step": 960
379
+ },
380
+ {
381
+ "epoch": 0.06605999325918437,
382
+ "grad_norm": 0.3046875,
383
+ "learning_rate": 0.0003,
384
+ "loss": 0.30814523696899415,
385
+ "step": 980
386
+ },
387
+ {
388
+ "epoch": 0.06740815638692282,
389
+ "grad_norm": 0.322265625,
390
+ "learning_rate": 0.0003,
391
+ "loss": 0.3065646648406982,
392
+ "step": 1000
393
+ },
394
+ {
395
+ "epoch": 0.06740815638692282,
396
+ "eval_loss": 0.3054979145526886,
397
+ "eval_runtime": 9.9252,
398
+ "eval_samples_per_second": 959.884,
399
+ "eval_steps_per_second": 15.012,
400
+ "step": 1000
401
+ },
402
+ {
403
+ "epoch": 0.06875631951466127,
404
+ "grad_norm": 0.294921875,
405
+ "learning_rate": 0.0003,
406
+ "loss": 0.3009540796279907,
407
+ "step": 1020
408
+ },
409
+ {
410
+ "epoch": 0.07010448264239973,
411
+ "grad_norm": 0.337890625,
412
+ "learning_rate": 0.0003,
413
+ "loss": 0.29650895595550536,
414
+ "step": 1040
415
+ },
416
+ {
417
+ "epoch": 0.07145264577013818,
418
+ "grad_norm": 0.3046875,
419
+ "learning_rate": 0.0003,
420
+ "loss": 0.2952280521392822,
421
+ "step": 1060
422
+ },
423
+ {
424
+ "epoch": 0.07280080889787664,
425
+ "grad_norm": 0.30078125,
426
+ "learning_rate": 0.0003,
427
+ "loss": 0.2900059461593628,
428
+ "step": 1080
429
+ },
430
+ {
431
+ "epoch": 0.0741489720256151,
432
+ "grad_norm": 1.359375,
433
+ "learning_rate": 0.0003,
434
+ "loss": 0.3038396596908569,
435
+ "step": 1100
436
+ },
437
+ {
438
+ "epoch": 0.07549713515335356,
439
+ "grad_norm": 1.1796875,
440
+ "learning_rate": 0.0003,
441
+ "loss": 0.3016719102859497,
442
+ "step": 1120
443
+ },
444
+ {
445
+ "epoch": 0.07684529828109202,
446
+ "grad_norm": 0.326171875,
447
+ "learning_rate": 0.0003,
448
+ "loss": 0.2863359212875366,
449
+ "step": 1140
450
+ },
451
+ {
452
+ "epoch": 0.07819346140883048,
453
+ "grad_norm": 0.2734375,
454
+ "learning_rate": 0.0003,
455
+ "loss": 0.28296785354614257,
456
+ "step": 1160
457
+ },
458
+ {
459
+ "epoch": 0.07954162453656892,
460
+ "grad_norm": 0.75,
461
+ "learning_rate": 0.0003,
462
+ "loss": 0.2871352434158325,
463
+ "step": 1180
464
+ },
465
+ {
466
+ "epoch": 0.08088978766430738,
467
+ "grad_norm": 0.3046875,
468
+ "learning_rate": 0.0003,
469
+ "loss": 0.2826373100280762,
470
+ "step": 1200
471
+ },
472
+ {
473
+ "epoch": 0.08088978766430738,
474
+ "eval_loss": 0.28042274713516235,
475
+ "eval_runtime": 9.9396,
476
+ "eval_samples_per_second": 958.493,
477
+ "eval_steps_per_second": 14.991,
478
+ "step": 1200
479
+ },
480
+ {
481
+ "epoch": 0.08223795079204584,
482
+ "grad_norm": 0.259765625,
483
+ "learning_rate": 0.0003,
484
+ "loss": 0.2763340473175049,
485
+ "step": 1220
486
+ },
487
+ {
488
+ "epoch": 0.0835861139197843,
489
+ "grad_norm": 0.2470703125,
490
+ "learning_rate": 0.0003,
491
+ "loss": 0.2739908695220947,
492
+ "step": 1240
493
+ },
494
+ {
495
+ "epoch": 0.08493427704752275,
496
+ "grad_norm": 0.2470703125,
497
+ "learning_rate": 0.0003,
498
+ "loss": 0.27242236137390136,
499
+ "step": 1260
500
+ },
501
+ {
502
+ "epoch": 0.08628244017526121,
503
+ "grad_norm": 0.2470703125,
504
+ "learning_rate": 0.0003,
505
+ "loss": 0.2671719789505005,
506
+ "step": 1280
507
+ },
508
+ {
509
+ "epoch": 0.08763060330299967,
510
+ "grad_norm": 0.2490234375,
511
+ "learning_rate": 0.0003,
512
+ "loss": 0.26690661907196045,
513
+ "step": 1300
514
+ },
515
+ {
516
+ "epoch": 0.08897876643073811,
517
+ "grad_norm": 0.2421875,
518
+ "learning_rate": 0.0003,
519
+ "loss": 0.2639945030212402,
520
+ "step": 1320
521
+ },
522
+ {
523
+ "epoch": 0.09032692955847657,
524
+ "grad_norm": 0.2421875,
525
+ "learning_rate": 0.0003,
526
+ "loss": 0.2623464584350586,
527
+ "step": 1340
528
+ },
529
+ {
530
+ "epoch": 0.09167509268621503,
531
+ "grad_norm": 0.244140625,
532
+ "learning_rate": 0.0003,
533
+ "loss": 0.25950236320495607,
534
+ "step": 1360
535
+ },
536
+ {
537
+ "epoch": 0.09302325581395349,
538
+ "grad_norm": 0.2412109375,
539
+ "learning_rate": 0.0003,
540
+ "loss": 0.2585299015045166,
541
+ "step": 1380
542
+ },
543
+ {
544
+ "epoch": 0.09437141894169195,
545
+ "grad_norm": 0.236328125,
546
+ "learning_rate": 0.0003,
547
+ "loss": 0.2554842233657837,
548
+ "step": 1400
549
+ },
550
+ {
551
+ "epoch": 0.09437141894169195,
552
+ "eval_loss": 0.2570951581001282,
553
+ "eval_runtime": 10.0287,
554
+ "eval_samples_per_second": 949.974,
555
+ "eval_steps_per_second": 14.857,
556
+ "step": 1400
557
+ },
558
+ {
559
+ "epoch": 0.0957195820694304,
560
+ "grad_norm": 0.2421875,
561
+ "learning_rate": 0.0003,
562
+ "loss": 0.25472869873046877,
563
+ "step": 1420
564
+ },
565
+ {
566
+ "epoch": 0.09706774519716886,
567
+ "grad_norm": 0.23828125,
568
+ "learning_rate": 0.0003,
569
+ "loss": 0.2515384674072266,
570
+ "step": 1440
571
+ },
572
+ {
573
+ "epoch": 0.09841590832490732,
574
+ "grad_norm": 0.236328125,
575
+ "learning_rate": 0.0003,
576
+ "loss": 0.24910502433776854,
577
+ "step": 1460
578
+ },
579
+ {
580
+ "epoch": 0.09976407145264576,
581
+ "grad_norm": 0.228515625,
582
+ "learning_rate": 0.0003,
583
+ "loss": 0.2469315767288208,
584
+ "step": 1480
585
+ },
586
+ {
587
+ "epoch": 0.10111223458038422,
588
+ "grad_norm": 0.236328125,
589
+ "learning_rate": 0.0003,
590
+ "loss": 0.24581990242004395,
591
+ "step": 1500
592
+ },
593
+ {
594
+ "epoch": 0.10246039770812268,
595
+ "grad_norm": 0.2392578125,
596
+ "learning_rate": 0.0003,
597
+ "loss": 0.24391622543334962,
598
+ "step": 1520
599
+ },
600
+ {
601
+ "epoch": 0.10380856083586114,
602
+ "grad_norm": 0.228515625,
603
+ "learning_rate": 0.0003,
604
+ "loss": 0.243127179145813,
605
+ "step": 1540
606
+ },
607
+ {
608
+ "epoch": 0.1051567239635996,
609
+ "grad_norm": 0.234375,
610
+ "learning_rate": 0.0003,
611
+ "loss": 0.24260540008544923,
612
+ "step": 1560
613
+ },
614
+ {
615
+ "epoch": 0.10650488709133805,
616
+ "grad_norm": 0.2373046875,
617
+ "learning_rate": 0.0003,
618
+ "loss": 0.24284977912902833,
619
+ "step": 1580
620
+ },
621
+ {
622
+ "epoch": 0.10785305021907651,
623
+ "grad_norm": 1.140625,
624
+ "learning_rate": 0.0003,
625
+ "loss": 0.27417311668395994,
626
+ "step": 1600
627
+ },
628
+ {
629
+ "epoch": 0.10785305021907651,
630
+ "eval_loss": 0.2722279131412506,
631
+ "eval_runtime": 9.9812,
632
+ "eval_samples_per_second": 954.493,
633
+ "eval_steps_per_second": 14.928,
634
+ "step": 1600
635
+ },
636
+ {
637
+ "epoch": 0.10920121334681497,
638
+ "grad_norm": 0.318359375,
639
+ "learning_rate": 0.0003,
640
+ "loss": 0.25417091846466067,
641
+ "step": 1620
642
+ },
643
+ {
644
+ "epoch": 0.11054937647455342,
645
+ "grad_norm": 0.2314453125,
646
+ "learning_rate": 0.0003,
647
+ "loss": 0.24314517974853517,
648
+ "step": 1640
649
+ },
650
+ {
651
+ "epoch": 0.11189753960229187,
652
+ "grad_norm": 0.2265625,
653
+ "learning_rate": 0.0003,
654
+ "loss": 0.23854396343231202,
655
+ "step": 1660
656
+ },
657
+ {
658
+ "epoch": 0.11324570273003033,
659
+ "grad_norm": 0.224609375,
660
+ "learning_rate": 0.0003,
661
+ "loss": 0.23716413974761963,
662
+ "step": 1680
663
+ },
664
+ {
665
+ "epoch": 0.11459386585776879,
666
+ "grad_norm": 0.2236328125,
667
+ "learning_rate": 0.0003,
668
+ "loss": 0.23724014759063722,
669
+ "step": 1700
670
+ },
671
+ {
672
+ "epoch": 0.11594202898550725,
673
+ "grad_norm": 0.2216796875,
674
+ "learning_rate": 0.0003,
675
+ "loss": 0.23469991683959962,
676
+ "step": 1720
677
+ },
678
+ {
679
+ "epoch": 0.1172901921132457,
680
+ "grad_norm": 0.2197265625,
681
+ "learning_rate": 0.0003,
682
+ "loss": 0.23476831912994384,
683
+ "step": 1740
684
+ },
685
+ {
686
+ "epoch": 0.11863835524098416,
687
+ "grad_norm": 0.2216796875,
688
+ "learning_rate": 0.0003,
689
+ "loss": 0.23299741744995117,
690
+ "step": 1760
691
+ },
692
+ {
693
+ "epoch": 0.11998651836872262,
694
+ "grad_norm": 0.216796875,
695
+ "learning_rate": 0.0003,
696
+ "loss": 0.23383264541625975,
697
+ "step": 1780
698
+ },
699
+ {
700
+ "epoch": 0.12133468149646107,
701
+ "grad_norm": 0.2197265625,
702
+ "learning_rate": 0.0003,
703
+ "loss": 0.2340226173400879,
704
+ "step": 1800
705
+ },
706
+ {
707
+ "epoch": 0.12133468149646107,
708
+ "eval_loss": 0.23292653262615204,
709
+ "eval_runtime": 10.0275,
710
+ "eval_samples_per_second": 950.091,
711
+ "eval_steps_per_second": 14.859,
712
+ "step": 1800
713
+ },
714
+ {
715
+ "epoch": 0.12268284462419952,
716
+ "grad_norm": 0.2236328125,
717
+ "learning_rate": 0.0003,
718
+ "loss": 0.2334127187728882,
719
+ "step": 1820
720
+ },
721
+ {
722
+ "epoch": 0.12403100775193798,
723
+ "grad_norm": 0.21875,
724
+ "learning_rate": 0.0003,
725
+ "loss": 0.22844159603118896,
726
+ "step": 1840
727
+ },
728
+ {
729
+ "epoch": 0.12537917087967643,
730
+ "grad_norm": 0.2275390625,
731
+ "learning_rate": 0.0003,
732
+ "loss": 0.22850356101989747,
733
+ "step": 1860
734
+ },
735
+ {
736
+ "epoch": 0.1267273340074149,
737
+ "grad_norm": 0.2216796875,
738
+ "learning_rate": 0.0003,
739
+ "loss": 0.2282630205154419,
740
+ "step": 1880
741
+ },
742
+ {
743
+ "epoch": 0.12807549713515334,
744
+ "grad_norm": 0.2236328125,
745
+ "learning_rate": 0.0003,
746
+ "loss": 0.22788019180297853,
747
+ "step": 1900
748
+ },
749
+ {
750
+ "epoch": 0.12942366026289182,
751
+ "grad_norm": 0.21875,
752
+ "learning_rate": 0.0003,
753
+ "loss": 0.22555692195892335,
754
+ "step": 1920
755
+ },
756
+ {
757
+ "epoch": 0.13077182339063026,
758
+ "grad_norm": 0.21875,
759
+ "learning_rate": 0.0003,
760
+ "loss": 0.2264007329940796,
761
+ "step": 1940
762
+ },
763
+ {
764
+ "epoch": 0.13211998651836873,
765
+ "grad_norm": 0.216796875,
766
+ "learning_rate": 0.0003,
767
+ "loss": 0.2237532138824463,
768
+ "step": 1960
769
+ },
770
+ {
771
+ "epoch": 0.13346814964610718,
772
+ "grad_norm": 0.220703125,
773
+ "learning_rate": 0.0003,
774
+ "loss": 0.2249152898788452,
775
+ "step": 1980
776
+ },
777
+ {
778
+ "epoch": 0.13481631277384565,
779
+ "grad_norm": 0.2216796875,
780
+ "learning_rate": 0.0003,
781
+ "loss": 0.22449655532836915,
782
+ "step": 2000
783
+ },
784
+ {
785
+ "epoch": 0.13481631277384565,
786
+ "eval_loss": 0.22595776617527008,
787
+ "eval_runtime": 10.0761,
788
+ "eval_samples_per_second": 945.505,
789
+ "eval_steps_per_second": 14.787,
790
+ "step": 2000
791
+ }
792
+ ],
793
+ "logging_steps": 20,
794
+ "max_steps": 2000,
795
+ "num_input_tokens_seen": 0,
796
+ "num_train_epochs": 1,
797
+ "save_steps": 500,
798
+ "stateful_callbacks": {
799
+ "TrainerControl": {
800
+ "args": {
801
+ "should_epoch_stop": false,
802
+ "should_evaluate": false,
803
+ "should_log": false,
804
+ "should_save": true,
805
+ "should_training_stop": true
806
+ },
807
+ "attributes": {}
808
+ }
809
+ },
810
+ "total_flos": 1355078959104000.0,
811
+ "train_batch_size": 64,
812
+ "trial_name": null,
813
+ "trial_params": null
814
+ }
out/glu-situglu-21L_run/checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:711ad909475cdef5e2f24026d199875e77c559083ded851f0b6f7b4ae9dadd26
3
+ size 4920
out/glu-situglu-21L_run/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7b38378164539aa0dc545450c2631ed5ba25590e597de010606c3bc5f2d0aaed
3
  size 7961656
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89b7f1f86990c23530b4b8391a262e32b97a3bb1431c29840afa07c7a1d9e7ba
3
  size 7961656
out/glu-situglu-21L_run/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
out/glu-situglu-21L_run/tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": "<|endoftext|>",
5
+ "eos_token": "<|endoftext|>",
6
+ "errors": "replace",
7
+ "is_local": false,
8
+ "local_files_only": false,
9
+ "model_max_length": 1024,
10
+ "pad_token": "<|endoftext|>",
11
+ "tokenizer_class": "GPT2Tokenizer",
12
+ "unk_token": "<|endoftext|>"
13
+ }
out/glu-situglu-21L_run/training_log.jsonl CHANGED
The diff for this file is too large to render. See raw diff
 
out/sweep_summary.json CHANGED
@@ -1,8 +1,8 @@
1
  [
2
  {
3
- "variant": "glu-linear-21L",
4
- "eval_loss": 0.21702784299850464,
5
- "out": "out/glu-linear-21L_run",
6
- "run_name": "LM-glu-linear-21L-4.0M-20260806-211222"
7
  }
8
  ]
 
1
  [
2
  {
3
+ "variant": "glu-situglu-21L",
4
+ "eval_loss": 0.22595776617527008,
5
+ "out": "out/glu-situglu-21L_run",
6
+ "run_name": "LM-glu-situglu-21L-4.0M-20260806-211757"
7
  }
8
  ]
wandb/debug-internal.log CHANGED
@@ -1,31 +1,25 @@
1
- {"time":"2026-08-06T21:17:58.671634953Z","level":"INFO","msg":"wandb-core"}
2
- {"time":"2026-08-06T21:17:58.671778326Z","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
3
- {"time":"2026-08-06T21:17:58.929335556Z","level":"INFO","msg":"stream: created new stream","id":"et66wpfp"}
4
- {"time":"2026-08-06T21:17:58.929407279Z","level":"INFO","msg":"handler: started"}
5
- {"time":"2026-08-06T21:17:58.929495955Z","level":"INFO","msg":"stream: started"}
6
- {"time":"2026-08-06T21:17:58.929509199Z","level":"INFO","msg":"writer: started","stream_id":"et66wpfp"}
7
- {"time":"2026-08-06T21:17:58.929535303Z","level":"INFO","msg":"sender: started"}
8
- {"time":"2026-08-06T21:17:59.433621649Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
9
- {"time":"2026-08-06T21:17:59.520631931Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
10
- {"time":"2026-08-06T21:18:02.550035484Z","level":"INFO","msg":"flowcontrol: backed up, offloading to disk","recordNumber":75}
11
- {"time":"2026-08-06T21:18:02.586349041Z","level":"INFO","msg":"flowcontrol: unblocked","totalOffloaded":4342}
12
- {"time":"2026-08-06T21:18:14.443726541Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":6,"events_offset":0,"events_lines":2,"console_offset":0,"console_lines":10,"uploaded_len":2}
13
- {"time":"2026-08-06T21:18:14.790659274Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
14
- {"time":"2026-08-06T21:18:29.440596176Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":6,"history_lines":4,"events_offset":2,"events_lines":2,"console_offset":3,"console_lines":1}
15
- {"time":"2026-08-06T21:18:29.773980786Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
16
- {"time":"2026-08-06T21:18:44.444963357Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":10,"history_lines":6,"events_offset":4,"events_lines":2,"console_offset":3,"console_lines":1}
17
- {"time":"2026-08-06T21:18:44.822078717Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
18
- {"time":"2026-08-06T21:18:59.437526221Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":16,"history_lines":5,"events_offset":6,"events_lines":2,"console_offset":3,"console_lines":1}
19
- {"time":"2026-08-06T21:18:59.782923067Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
20
- {"time":"2026-08-06T21:19:14.441917627Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":21,"history_lines":4,"events_offset":8,"events_lines":2,"console_offset":3,"console_lines":1}
21
- {"time":"2026-08-06T21:19:14.789677084Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
22
- {"time":"2026-08-06T21:19:29.437648423Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":25,"history_lines":7,"events_offset":10,"events_lines":2,"console_offset":3,"console_lines":1}
23
- {"time":"2026-08-06T21:19:29.819436354Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
24
- {"time":"2026-08-06T21:19:44.442070317Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":32,"history_lines":3,"events_offset":12,"events_lines":2,"console_offset":10,"console_lines":36}
25
- {"time":"2026-08-06T21:19:44.79296215Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
26
- {"time":"2026-08-06T21:19:59.437465828Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":35,"history_lines":7,"events_offset":14,"events_lines":2,"console_offset":43,"console_lines":1}
27
- {"time":"2026-08-06T21:19:59.702421474Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
28
- {"time":"2026-08-06T21:20:14.441573932Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":42,"history_lines":3,"events_offset":16,"events_lines":2,"console_offset":43,"console_lines":1}
29
- {"time":"2026-08-06T21:20:14.763680337Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
30
- {"time":"2026-08-06T21:20:29.438442012Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":45,"history_lines":7,"events_offset":18,"events_lines":2,"console_offset":43,"console_lines":1}
31
- {"time":"2026-08-06T21:20:29.75683591Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
 
1
+ {"time":"2026-08-06T21:23:49.262455471Z","level":"INFO","msg":"wandb-core"}
2
+ {"time":"2026-08-06T21:23:49.262578674Z","level":"INFO","msg":"stream: starting","core version":"0.28.1"}
3
+ {"time":"2026-08-06T21:23:49.520065686Z","level":"INFO","msg":"stream: created new stream","id":"khl56ofx"}
4
+ {"time":"2026-08-06T21:23:49.520128136Z","level":"INFO","msg":"handler: started"}
5
+ {"time":"2026-08-06T21:23:49.520211964Z","level":"INFO","msg":"stream: started"}
6
+ {"time":"2026-08-06T21:23:49.520222301Z","level":"INFO","msg":"writer: started","stream_id":"khl56ofx"}
7
+ {"time":"2026-08-06T21:23:49.520242836Z","level":"INFO","msg":"sender: started"}
8
+ {"time":"2026-08-06T21:23:50.032944406Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
9
+ {"time":"2026-08-06T21:23:50.120147106Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
10
+ {"time":"2026-08-06T21:23:53.039944789Z","level":"INFO","msg":"flowcontrol: backed up, offloading to disk","recordNumber":75}
11
+ {"time":"2026-08-06T21:23:53.076530748Z","level":"INFO","msg":"flowcontrol: unblocked","totalOffloaded":4216}
12
+ {"time":"2026-08-06T21:24:05.04332536Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":6,"events_offset":0,"events_lines":2,"console_offset":1,"console_lines":9,"uploaded_len":2}
13
+ {"time":"2026-08-06T21:24:05.435244467Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
14
+ {"time":"2026-08-06T21:24:20.039026109Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":6,"history_lines":4,"events_offset":2,"events_lines":2,"console_offset":3,"console_lines":1}
15
+ {"time":"2026-08-06T21:24:20.389487595Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
16
+ {"time":"2026-08-06T21:24:35.040700155Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":10,"history_lines":6,"events_offset":4,"events_lines":2,"console_offset":3,"console_lines":1}
17
+ {"time":"2026-08-06T21:24:35.368304724Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
18
+ {"time":"2026-08-06T21:24:50.038230763Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":16,"history_lines":5,"events_offset":6,"events_lines":2,"console_offset":3,"console_lines":1}
19
+ {"time":"2026-08-06T21:24:50.31147386Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
20
+ {"time":"2026-08-06T21:25:05.040055585Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":21,"history_lines":5,"events_offset":8,"events_lines":2,"console_offset":3,"console_lines":1}
21
+ {"time":"2026-08-06T21:25:05.349758223Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
22
+ {"time":"2026-08-06T21:25:20.037151722Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":26,"history_lines":6,"events_offset":10,"events_lines":2,"console_offset":3,"console_lines":1}
23
+ {"time":"2026-08-06T21:25:20.358886366Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
24
+ {"time":"2026-08-06T21:25:35.040574125Z","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":32,"history_lines":4,"events_offset":12,"events_lines":2,"console_offset":10,"console_lines":37}
25
+ {"time":"2026-08-06T21:25:35.362028876Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
 
 
 
 
 
 
wandb/debug.log CHANGED
@@ -1,23 +1,23 @@
1
- 2026-08-06 21:17:58,669 INFO MainThread:867849 [wandb_setup.py:_flush():81] Current SDK version is 0.28.1
2
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_setup.py:_flush():81] Configure stats pid to 867849
3
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_init.py:setup_run_log_directory():729] Logging user logs to /mnt/data/zainulabideen/zain-exp/notebooks/Activation/wandb/run-20260806_211758-et66wpfp/logs/debug.log
5
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_init.py:setup_run_log_directory():730] Logging internal logs to /mnt/data/zainulabideen/zain-exp/notebooks/Activation/wandb/run-20260806_211758-et66wpfp/logs/debug-internal.log
6
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_init.py:init():772] calling init triggers
7
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_init.py:init():777] wandb.init called with sweep_config: {}
8
  config: {'_wandb': {}}
9
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_init.py:init():820] starting backend
10
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_init.py:init():826] Connected to an existing wandb-core service via WANDB_SERVICE
11
- 2026-08-06 21:17:58,670 INFO MainThread:867849 [wandb_init.py:init():835] sending inform_init request
12
- 2026-08-06 21:17:58,929 INFO MainThread:867849 [wandb_init.py:init():840] backend started and connected
13
- 2026-08-06 21:17:58,933 INFO MainThread:867849 [wandb_init.py:init():910] updated telemetry
14
- 2026-08-06 21:17:58,940 INFO MainThread:867849 [wandb_init.py:init():933] communicating run to backend with 90.0 second timeout
15
- 2026-08-06 21:17:59,169 INFO MainThread:867849 [wandb_init.py:init():978] starting run threads in backend
16
- 2026-08-06 21:17:59,242 INFO MainThread:867849 [wandb_run.py:_console_start():2621] atexit reg
17
- 2026-08-06 21:17:59,243 INFO MainThread:867849 [wandb_run.py:_redirect():2471] redirect: wrap_raw
18
- 2026-08-06 21:17:59,243 INFO MainThread:867849 [wandb_run.py:_redirect():2540] Wrapping output streams.
19
- 2026-08-06 21:17:59,243 INFO MainThread:867849 [wandb_run.py:_redirect():2563] Redirects installed.
20
- 2026-08-06 21:17:59,246 INFO MainThread:867849 [wandb_init.py:init():1016] run started, returning control to user process
21
- 2026-08-06 21:17:59,246 INFO MainThread:867849 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 4096, 'hidden_size': 128, 'intermediate_size': 256, 'num_hidden_layers': 21, 'num_attention_heads': 4, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 32, '_name_or_path': '', 'tokenizer_name': 'w-ahmad/tiny-stories-tokenizer', 'mlp_type': 'glu', 'activation': 'situglu', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-situglu-21L_run', 'per_device_train_batch_size': 64, 'num_train_epochs': 1, 'max_steps': 2000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 1, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 20, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': 'LM-glu-situglu-21L-4.0M-20260806-211757', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 200, 'eval_delay': 0, 'per_device_eval_batch_size': 64, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 500, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': True, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/ACTio-glu-situglu-21L', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
22
- 2026-08-06 21:17:59,249 INFO MainThread:867849 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 3970432 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x151e0c293690>>
23
- 2026-08-06 21:17:59,249 INFO MainThread:867849 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 3970432 None
 
1
+ 2026-08-06 21:23:49,260 INFO MainThread:922400 [wandb_setup.py:_flush():81] Current SDK version is 0.28.1
2
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_setup.py:_flush():81] Configure stats pid to 922400
3
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_init.py:setup_run_log_directory():729] Logging user logs to /mnt/data/zainulabideen/zain-exp/notebooks/Activation/wandb/run-20260806_212349-khl56ofx/logs/debug.log
5
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_init.py:setup_run_log_directory():730] Logging internal logs to /mnt/data/zainulabideen/zain-exp/notebooks/Activation/wandb/run-20260806_212349-khl56ofx/logs/debug-internal.log
6
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_init.py:init():772] calling init triggers
7
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_init.py:init():777] wandb.init called with sweep_config: {}
8
  config: {'_wandb': {}}
9
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_init.py:init():820] starting backend
10
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_init.py:init():826] Connected to an existing wandb-core service via WANDB_SERVICE
11
+ 2026-08-06 21:23:49,261 INFO MainThread:922400 [wandb_init.py:init():835] sending inform_init request
12
+ 2026-08-06 21:23:49,520 INFO MainThread:922400 [wandb_init.py:init():840] backend started and connected
13
+ 2026-08-06 21:23:49,523 INFO MainThread:922400 [wandb_init.py:init():910] updated telemetry
14
+ 2026-08-06 21:23:49,530 INFO MainThread:922400 [wandb_init.py:init():933] communicating run to backend with 90.0 second timeout
15
+ 2026-08-06 21:23:49,772 INFO MainThread:922400 [wandb_init.py:init():978] starting run threads in backend
16
+ 2026-08-06 21:23:49,845 INFO MainThread:922400 [wandb_run.py:_console_start():2621] atexit reg
17
+ 2026-08-06 21:23:49,845 INFO MainThread:922400 [wandb_run.py:_redirect():2471] redirect: wrap_raw
18
+ 2026-08-06 21:23:49,845 INFO MainThread:922400 [wandb_run.py:_redirect():2540] Wrapping output streams.
19
+ 2026-08-06 21:23:49,845 INFO MainThread:922400 [wandb_run.py:_redirect():2563] Redirects installed.
20
+ 2026-08-06 21:23:49,848 INFO MainThread:922400 [wandb_init.py:init():1016] run started, returning control to user process
21
+ 2026-08-06 21:23:49,849 INFO MainThread:922400 [wandb_run.py:_config_callback():1346] config_cb None None {'transformers_version': '5.15.0.dev0', 'architectures': None, 'output_hidden_states': False, 'return_dict': True, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, 'vocab_size': 4096, 'hidden_size': 128, 'intermediate_size': 256, 'num_hidden_layers': 21, 'num_attention_heads': 4, 'num_key_value_heads': 4, 'hidden_act': 'silu', 'max_position_embeddings': 512, 'initializer_range': 0.02, 'rms_norm_eps': 1e-06, 'use_cache': False, 'pad_token_id': 0, 'bos_token_id': 1, 'eos_token_id': 2, 'pretraining_tp': 1, 'tie_word_embeddings': True, 'rope_parameters': {'rope_theta': 10000.0, 'rope_type': 'default'}, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 32, '_name_or_path': '', 'tokenizer_name': 'w-ahmad/tiny-stories-tokenizer', 'mlp_type': 'glu', 'activation': 's10', 'model_type': 'tiny_llama', 'output_attentions': False, 'output_dir': 'out/glu-s10-21L_run', 'per_device_train_batch_size': 64, 'num_train_epochs': 1, 'max_steps': 2000, 'learning_rate': 0.0003, 'lr_scheduler_type': 'constant', 'lr_scheduler_kwargs': None, 'warmup_steps': 0, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 1, 'average_tokens_across_devices': True, 'max_grad_norm': 1.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 20, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': 'LM-glu-s10-21L-4.0M-20260806-212348', 'project': 'huggingface', 'trackio_space_id': None, 'trackio_bucket_id': None, 'trackio_static_space_id': None, 'eval_strategy': 'steps', 'eval_steps': 200, 'eval_delay': 0, 'per_device_eval_batch_size': 64, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 500, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': True, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': 'w-ahmad/ACTio-glu-s10-21L', 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': 42, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 0, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': None, 'dataloader_multiprocessing_context': None, 'dataloader_in_order': True, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_static_graph': None, 'ddp_backend': None, 'ddp_timeout': 1800, 'fsdp': None, 'fsdp_config': None, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': False, 'do_eval': True, 'do_predict': False, 'resume_from_checkpoint': None, 'local_rank': -1}
22
+ 2026-08-06 21:23:49,851 INFO MainThread:922400 [wandb_config.py:__setitem__():155] [no run ID] config set model/num_parameters = 3970432 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x154115817dd0>>
23
+ 2026-08-06 21:23:49,851 INFO MainThread:922400 [wandb_run.py:_config_callback():1346] config_cb model/num_parameters 3970432 None