dlibf commited on
Commit
1167712
1 Parent(s): 3a82d4a

Model save

Browse files
README.md ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - trl
4
+ - sft
5
+ - generated_from_trainer
6
+ datasets:
7
+ - generator
8
+ model-index:
9
+ - name: zephyr-marco13bv5-sft-full
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # zephyr-marco13bv5-sft-full
17
+
18
+ This model was trained from scratch on the generator dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.8860
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 2e-05
40
+ - train_batch_size: 16
41
+ - eval_batch_size: 8
42
+ - seed: 42
43
+ - distributed_type: multi-GPU
44
+ - num_devices: 8
45
+ - total_train_batch_size: 128
46
+ - total_eval_batch_size: 64
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 1
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss |
55
+ |:-------------:|:-----:|:----:|:---------------:|
56
+ | 0.8826 | 1.0 | 1142 | 0.8860 |
57
+
58
+
59
+ ### Framework versions
60
+
61
+ - Transformers 4.36.2
62
+ - Pytorch 2.1.2+cu121
63
+ - Datasets 2.14.6
64
+ - Tokenizers 0.15.1
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.8859861493110657,
4
+ "eval_runtime": 543.8003,
5
+ "eval_samples": 23110,
6
+ "eval_samples_per_second": 29.728,
7
+ "eval_steps_per_second": 0.465,
8
+ "train_loss": 0.908709870119646,
9
+ "train_runtime": 20356.4656,
10
+ "train_samples": 207865,
11
+ "train_samples_per_second": 7.175,
12
+ "train_steps_per_second": 0.056
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.8859861493110657,
4
+ "eval_runtime": 543.8003,
5
+ "eval_samples": 23110,
6
+ "eval_samples_per_second": 29.728,
7
+ "eval_steps_per_second": 0.465
8
+ }
generation_config.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.36.2",
7
+ "use_cache": false
8
+ }
model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8f69f805dc9d2e4693874da054202343b89408e75521cae086faffdd8c48b1a
3
+ size 4978265800
model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5600dbcd4bed047e4efc53e584fd7d0e5ff09df5e37fbcd6e1b8733a485f9173
3
+ size 4970422232
model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1fe4fdc896d92539baa6cc2693a0de79d7757ad5d4ec12dbddceb0816cd75137
3
+ size 4970422256
model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61762c12091d1a726d705133aff6e97949a121bd87d69fa1dbb8d08c535c7ffe
3
+ size 4933701504
model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8b758ba9eb40e1681e9adacc885cef1016ee50cbf5d9b10107ebedd4a78e0c5
3
+ size 4933722216
model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:609258cff9057d3f48d7b4c772bce98c9ebb8495b2002f9675e662d7b9539e7e
3
+ size 1245236920
model.safetensors.index.json ADDED
@@ -0,0 +1,370 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 26031728640
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00006-of-00006.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00006.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00006.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00006.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00004-of-00006.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00004-of-00006.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00005-of-00006.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00005-of-00006.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
242
+ "model.layers.32.input_layernorm.weight": "model-00005-of-00006.safetensors",
243
+ "model.layers.32.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
244
+ "model.layers.32.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
245
+ "model.layers.32.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
246
+ "model.layers.32.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
247
+ "model.layers.32.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
248
+ "model.layers.32.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
249
+ "model.layers.32.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
250
+ "model.layers.32.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
251
+ "model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
252
+ "model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
253
+ "model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
254
+ "model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
255
+ "model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
256
+ "model.layers.33.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
257
+ "model.layers.33.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
258
+ "model.layers.33.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
259
+ "model.layers.33.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
260
+ "model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
261
+ "model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
262
+ "model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
263
+ "model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
264
+ "model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
265
+ "model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
266
+ "model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
267
+ "model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
268
+ "model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
269
+ "model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors",
270
+ "model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
271
+ "model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
272
+ "model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
273
+ "model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
274
+ "model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
275
+ "model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
276
+ "model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
277
+ "model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
278
+ "model.layers.36.input_layernorm.weight": "model-00005-of-00006.safetensors",
279
+ "model.layers.36.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
280
+ "model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
281
+ "model.layers.36.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
282
+ "model.layers.36.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
283
+ "model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
284
+ "model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
285
+ "model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
286
+ "model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
287
+ "model.layers.37.input_layernorm.weight": "model-00005-of-00006.safetensors",
288
+ "model.layers.37.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
289
+ "model.layers.37.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
290
+ "model.layers.37.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
291
+ "model.layers.37.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
292
+ "model.layers.37.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
293
+ "model.layers.37.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
294
+ "model.layers.37.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
295
+ "model.layers.37.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
296
+ "model.layers.38.input_layernorm.weight": "model-00006-of-00006.safetensors",
297
+ "model.layers.38.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
298
+ "model.layers.38.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
299
+ "model.layers.38.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
300
+ "model.layers.38.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
301
+ "model.layers.38.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
302
+ "model.layers.38.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
303
+ "model.layers.38.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
304
+ "model.layers.38.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
305
+ "model.layers.39.input_layernorm.weight": "model-00006-of-00006.safetensors",
306
+ "model.layers.39.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
307
+ "model.layers.39.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
308
+ "model.layers.39.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
309
+ "model.layers.39.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
310
+ "model.layers.39.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
311
+ "model.layers.39.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
312
+ "model.layers.39.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
313
+ "model.layers.39.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
314
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
315
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
316
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
317
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
318
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
319
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
320
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
321
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
322
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
323
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00006.safetensors",
324
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
325
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
326
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
327
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
328
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
329
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
330
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
331
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
332
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00006.safetensors",
333
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
334
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
335
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
336
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
337
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
338
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
339
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
340
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
341
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
342
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
343
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
344
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
345
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
346
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
347
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
348
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
349
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
350
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
351
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
352
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
353
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
354
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
355
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
356
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
357
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
358
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
359
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
360
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
361
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
362
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
363
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
364
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
365
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
366
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
367
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
368
+ "model.norm.weight": "model-00006-of-00006.safetensors"
369
+ }
370
+ }
runs/Jan31_03-21-02_dsw-691-5496b4c68c-rxngp/events.out.tfevents.1706671346.dsw-691-5496b4c68c-rxngp.1401680.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:92cd0fc1c1a93dc6b8191b2f648f018f247934ddb3e10aaa14305d9f97e8364b
3
- size 36084
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7dc2f3feaf9ac0deac9fddc32528404fc6c0ee5525b6c9a3989b181cbf92a5ca
3
+ size 41105
runs/Jan31_03-21-02_dsw-691-5496b4c68c-rxngp/events.out.tfevents.1706692246.dsw-691-5496b4c68c-rxngp.1401680.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af99aa845fb86d821045437d86084b24c18845dd76f6316f80f7bc403e6f3d4e
3
+ size 359
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.908709870119646,
4
+ "train_runtime": 20356.4656,
5
+ "train_samples": 207865,
6
+ "train_samples_per_second": 7.175,
7
+ "train_steps_per_second": 0.056
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1412 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1142,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 1.7391304347826088e-07,
14
+ "loss": 1.223,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.0,
19
+ "learning_rate": 8.695652173913044e-07,
20
+ "loss": 1.2044,
21
+ "step": 5
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 1.7391304347826088e-06,
26
+ "loss": 1.2031,
27
+ "step": 10
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 2.6086956521739132e-06,
32
+ "loss": 1.1387,
33
+ "step": 15
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 3.4782608695652175e-06,
38
+ "loss": 1.1093,
39
+ "step": 20
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 4.347826086956522e-06,
44
+ "loss": 1.0924,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.03,
49
+ "learning_rate": 5.2173913043478265e-06,
50
+ "loss": 1.072,
51
+ "step": 30
52
+ },
53
+ {
54
+ "epoch": 0.03,
55
+ "learning_rate": 6.086956521739132e-06,
56
+ "loss": 1.0623,
57
+ "step": 35
58
+ },
59
+ {
60
+ "epoch": 0.04,
61
+ "learning_rate": 6.956521739130435e-06,
62
+ "loss": 1.0619,
63
+ "step": 40
64
+ },
65
+ {
66
+ "epoch": 0.04,
67
+ "learning_rate": 7.82608695652174e-06,
68
+ "loss": 1.0515,
69
+ "step": 45
70
+ },
71
+ {
72
+ "epoch": 0.04,
73
+ "learning_rate": 8.695652173913044e-06,
74
+ "loss": 1.0545,
75
+ "step": 50
76
+ },
77
+ {
78
+ "epoch": 0.05,
79
+ "learning_rate": 9.565217391304349e-06,
80
+ "loss": 1.0347,
81
+ "step": 55
82
+ },
83
+ {
84
+ "epoch": 0.05,
85
+ "learning_rate": 1.0434782608695653e-05,
86
+ "loss": 1.0527,
87
+ "step": 60
88
+ },
89
+ {
90
+ "epoch": 0.06,
91
+ "learning_rate": 1.1304347826086957e-05,
92
+ "loss": 1.0333,
93
+ "step": 65
94
+ },
95
+ {
96
+ "epoch": 0.06,
97
+ "learning_rate": 1.2173913043478263e-05,
98
+ "loss": 1.038,
99
+ "step": 70
100
+ },
101
+ {
102
+ "epoch": 0.07,
103
+ "learning_rate": 1.3043478260869566e-05,
104
+ "loss": 1.0071,
105
+ "step": 75
106
+ },
107
+ {
108
+ "epoch": 0.07,
109
+ "learning_rate": 1.391304347826087e-05,
110
+ "loss": 0.9955,
111
+ "step": 80
112
+ },
113
+ {
114
+ "epoch": 0.07,
115
+ "learning_rate": 1.4782608695652174e-05,
116
+ "loss": 0.9602,
117
+ "step": 85
118
+ },
119
+ {
120
+ "epoch": 0.08,
121
+ "learning_rate": 1.565217391304348e-05,
122
+ "loss": 0.9443,
123
+ "step": 90
124
+ },
125
+ {
126
+ "epoch": 0.08,
127
+ "learning_rate": 1.6521739130434785e-05,
128
+ "loss": 0.9319,
129
+ "step": 95
130
+ },
131
+ {
132
+ "epoch": 0.09,
133
+ "learning_rate": 1.739130434782609e-05,
134
+ "loss": 0.9582,
135
+ "step": 100
136
+ },
137
+ {
138
+ "epoch": 0.09,
139
+ "learning_rate": 1.8260869565217393e-05,
140
+ "loss": 0.9322,
141
+ "step": 105
142
+ },
143
+ {
144
+ "epoch": 0.1,
145
+ "learning_rate": 1.9130434782608697e-05,
146
+ "loss": 0.929,
147
+ "step": 110
148
+ },
149
+ {
150
+ "epoch": 0.1,
151
+ "learning_rate": 2e-05,
152
+ "loss": 0.9348,
153
+ "step": 115
154
+ },
155
+ {
156
+ "epoch": 0.11,
157
+ "learning_rate": 1.9998830337935488e-05,
158
+ "loss": 0.917,
159
+ "step": 120
160
+ },
161
+ {
162
+ "epoch": 0.11,
163
+ "learning_rate": 1.9995321625363814e-05,
164
+ "loss": 0.9237,
165
+ "step": 125
166
+ },
167
+ {
168
+ "epoch": 0.11,
169
+ "learning_rate": 1.998947468308658e-05,
170
+ "loss": 0.9136,
171
+ "step": 130
172
+ },
173
+ {
174
+ "epoch": 0.12,
175
+ "learning_rate": 1.9981290878893103e-05,
176
+ "loss": 0.9252,
177
+ "step": 135
178
+ },
179
+ {
180
+ "epoch": 0.12,
181
+ "learning_rate": 1.997077212724044e-05,
182
+ "loss": 0.9378,
183
+ "step": 140
184
+ },
185
+ {
186
+ "epoch": 0.13,
187
+ "learning_rate": 1.9957920888805548e-05,
188
+ "loss": 0.9202,
189
+ "step": 145
190
+ },
191
+ {
192
+ "epoch": 0.13,
193
+ "learning_rate": 1.9942740169909643e-05,
194
+ "loss": 0.9264,
195
+ "step": 150
196
+ },
197
+ {
198
+ "epoch": 0.14,
199
+ "learning_rate": 1.9925233521814926e-05,
200
+ "loss": 0.9211,
201
+ "step": 155
202
+ },
203
+ {
204
+ "epoch": 0.14,
205
+ "learning_rate": 1.9905405039893827e-05,
206
+ "loss": 0.9173,
207
+ "step": 160
208
+ },
209
+ {
210
+ "epoch": 0.14,
211
+ "learning_rate": 1.9883259362670967e-05,
212
+ "loss": 0.9139,
213
+ "step": 165
214
+ },
215
+ {
216
+ "epoch": 0.15,
217
+ "learning_rate": 1.9858801670738052e-05,
218
+ "loss": 0.9228,
219
+ "step": 170
220
+ },
221
+ {
222
+ "epoch": 0.15,
223
+ "learning_rate": 1.9832037685541973e-05,
224
+ "loss": 0.9295,
225
+ "step": 175
226
+ },
227
+ {
228
+ "epoch": 0.16,
229
+ "learning_rate": 1.9802973668046364e-05,
230
+ "loss": 0.9144,
231
+ "step": 180
232
+ },
233
+ {
234
+ "epoch": 0.16,
235
+ "learning_rate": 1.9771616417266966e-05,
236
+ "loss": 0.9098,
237
+ "step": 185
238
+ },
239
+ {
240
+ "epoch": 0.17,
241
+ "learning_rate": 1.9737973268681117e-05,
242
+ "loss": 0.9196,
243
+ "step": 190
244
+ },
245
+ {
246
+ "epoch": 0.17,
247
+ "learning_rate": 1.970205209251174e-05,
248
+ "loss": 0.9126,
249
+ "step": 195
250
+ },
251
+ {
252
+ "epoch": 0.18,
253
+ "learning_rate": 1.9663861291886256e-05,
254
+ "loss": 0.9306,
255
+ "step": 200
256
+ },
257
+ {
258
+ "epoch": 0.18,
259
+ "learning_rate": 1.9623409800870804e-05,
260
+ "loss": 0.9232,
261
+ "step": 205
262
+ },
263
+ {
264
+ "epoch": 0.18,
265
+ "learning_rate": 1.958070708238028e-05,
266
+ "loss": 0.9076,
267
+ "step": 210
268
+ },
269
+ {
270
+ "epoch": 0.19,
271
+ "learning_rate": 1.953576312596466e-05,
272
+ "loss": 0.9342,
273
+ "step": 215
274
+ },
275
+ {
276
+ "epoch": 0.19,
277
+ "learning_rate": 1.9488588445472115e-05,
278
+ "loss": 0.9122,
279
+ "step": 220
280
+ },
281
+ {
282
+ "epoch": 0.2,
283
+ "learning_rate": 1.9439194076589477e-05,
284
+ "loss": 0.898,
285
+ "step": 225
286
+ },
287
+ {
288
+ "epoch": 0.2,
289
+ "learning_rate": 1.938759157426065e-05,
290
+ "loss": 0.9153,
291
+ "step": 230
292
+ },
293
+ {
294
+ "epoch": 0.21,
295
+ "learning_rate": 1.9333793009983505e-05,
296
+ "loss": 0.9251,
297
+ "step": 235
298
+ },
299
+ {
300
+ "epoch": 0.21,
301
+ "learning_rate": 1.9277810968986004e-05,
302
+ "loss": 0.9008,
303
+ "step": 240
304
+ },
305
+ {
306
+ "epoch": 0.21,
307
+ "learning_rate": 1.921965854728207e-05,
308
+ "loss": 0.9306,
309
+ "step": 245
310
+ },
311
+ {
312
+ "epoch": 0.22,
313
+ "learning_rate": 1.915934934860803e-05,
314
+ "loss": 0.9088,
315
+ "step": 250
316
+ },
317
+ {
318
+ "epoch": 0.22,
319
+ "learning_rate": 1.909689748124025e-05,
320
+ "loss": 0.9164,
321
+ "step": 255
322
+ },
323
+ {
324
+ "epoch": 0.23,
325
+ "learning_rate": 1.9032317554694756e-05,
326
+ "loss": 0.9223,
327
+ "step": 260
328
+ },
329
+ {
330
+ "epoch": 0.23,
331
+ "learning_rate": 1.896562467630959e-05,
332
+ "loss": 0.909,
333
+ "step": 265
334
+ },
335
+ {
336
+ "epoch": 0.24,
337
+ "learning_rate": 1.889683444771071e-05,
338
+ "loss": 0.9043,
339
+ "step": 270
340
+ },
341
+ {
342
+ "epoch": 0.24,
343
+ "learning_rate": 1.8825962961162284e-05,
344
+ "loss": 0.9184,
345
+ "step": 275
346
+ },
347
+ {
348
+ "epoch": 0.25,
349
+ "learning_rate": 1.8753026795802158e-05,
350
+ "loss": 0.901,
351
+ "step": 280
352
+ },
353
+ {
354
+ "epoch": 0.25,
355
+ "learning_rate": 1.8678043013763493e-05,
356
+ "loss": 0.9279,
357
+ "step": 285
358
+ },
359
+ {
360
+ "epoch": 0.25,
361
+ "learning_rate": 1.860102915618334e-05,
362
+ "loss": 0.8989,
363
+ "step": 290
364
+ },
365
+ {
366
+ "epoch": 0.26,
367
+ "learning_rate": 1.852200323909924e-05,
368
+ "loss": 0.9171,
369
+ "step": 295
370
+ },
371
+ {
372
+ "epoch": 0.26,
373
+ "learning_rate": 1.8440983749234647e-05,
374
+ "loss": 0.9161,
375
+ "step": 300
376
+ },
377
+ {
378
+ "epoch": 0.27,
379
+ "learning_rate": 1.8357989639674324e-05,
380
+ "loss": 0.9168,
381
+ "step": 305
382
+ },
383
+ {
384
+ "epoch": 0.27,
385
+ "learning_rate": 1.8273040325430575e-05,
386
+ "loss": 0.8941,
387
+ "step": 310
388
+ },
389
+ {
390
+ "epoch": 0.28,
391
+ "learning_rate": 1.8186155678901457e-05,
392
+ "loss": 0.9092,
393
+ "step": 315
394
+ },
395
+ {
396
+ "epoch": 0.28,
397
+ "learning_rate": 1.8097356025221975e-05,
398
+ "loss": 0.908,
399
+ "step": 320
400
+ },
401
+ {
402
+ "epoch": 0.28,
403
+ "learning_rate": 1.800666213750938e-05,
404
+ "loss": 0.9004,
405
+ "step": 325
406
+ },
407
+ {
408
+ "epoch": 0.29,
409
+ "learning_rate": 1.791409523200366e-05,
410
+ "loss": 0.901,
411
+ "step": 330
412
+ },
413
+ {
414
+ "epoch": 0.29,
415
+ "learning_rate": 1.781967696310437e-05,
416
+ "loss": 0.9391,
417
+ "step": 335
418
+ },
419
+ {
420
+ "epoch": 0.3,
421
+ "learning_rate": 1.772342941830499e-05,
422
+ "loss": 0.9081,
423
+ "step": 340
424
+ },
425
+ {
426
+ "epoch": 0.3,
427
+ "learning_rate": 1.76253751130259e-05,
428
+ "loss": 0.9115,
429
+ "step": 345
430
+ },
431
+ {
432
+ "epoch": 0.31,
433
+ "learning_rate": 1.7525536985347328e-05,
434
+ "loss": 0.9068,
435
+ "step": 350
436
+ },
437
+ {
438
+ "epoch": 0.31,
439
+ "learning_rate": 1.7423938390643384e-05,
440
+ "loss": 0.9072,
441
+ "step": 355
442
+ },
443
+ {
444
+ "epoch": 0.32,
445
+ "learning_rate": 1.7320603096118476e-05,
446
+ "loss": 0.9124,
447
+ "step": 360
448
+ },
449
+ {
450
+ "epoch": 0.32,
451
+ "learning_rate": 1.721555527524739e-05,
452
+ "loss": 0.9032,
453
+ "step": 365
454
+ },
455
+ {
456
+ "epoch": 0.32,
457
+ "learning_rate": 1.710881950212033e-05,
458
+ "loss": 0.9045,
459
+ "step": 370
460
+ },
461
+ {
462
+ "epoch": 0.33,
463
+ "learning_rate": 1.7000420745694256e-05,
464
+ "loss": 0.8997,
465
+ "step": 375
466
+ },
467
+ {
468
+ "epoch": 0.33,
469
+ "learning_rate": 1.6890384363951802e-05,
470
+ "loss": 0.9109,
471
+ "step": 380
472
+ },
473
+ {
474
+ "epoch": 0.34,
475
+ "learning_rate": 1.6778736097969258e-05,
476
+ "loss": 0.8979,
477
+ "step": 385
478
+ },
479
+ {
480
+ "epoch": 0.34,
481
+ "learning_rate": 1.666550206589489e-05,
482
+ "loss": 0.8957,
483
+ "step": 390
484
+ },
485
+ {
486
+ "epoch": 0.35,
487
+ "learning_rate": 1.655070875683904e-05,
488
+ "loss": 0.8963,
489
+ "step": 395
490
+ },
491
+ {
492
+ "epoch": 0.35,
493
+ "learning_rate": 1.6434383024677475e-05,
494
+ "loss": 0.9028,
495
+ "step": 400
496
+ },
497
+ {
498
+ "epoch": 0.35,
499
+ "learning_rate": 1.6316552081769404e-05,
500
+ "loss": 0.9216,
501
+ "step": 405
502
+ },
503
+ {
504
+ "epoch": 0.36,
505
+ "learning_rate": 1.6197243492591627e-05,
506
+ "loss": 0.9171,
507
+ "step": 410
508
+ },
509
+ {
510
+ "epoch": 0.36,
511
+ "learning_rate": 1.6076485167290278e-05,
512
+ "loss": 0.9059,
513
+ "step": 415
514
+ },
515
+ {
516
+ "epoch": 0.37,
517
+ "learning_rate": 1.5954305355151775e-05,
518
+ "loss": 0.9053,
519
+ "step": 420
520
+ },
521
+ {
522
+ "epoch": 0.37,
523
+ "learning_rate": 1.5830732637994382e-05,
524
+ "loss": 0.9027,
525
+ "step": 425
526
+ },
527
+ {
528
+ "epoch": 0.38,
529
+ "learning_rate": 1.5705795923481995e-05,
530
+ "loss": 0.9068,
531
+ "step": 430
532
+ },
533
+ {
534
+ "epoch": 0.38,
535
+ "learning_rate": 1.5579524438361693e-05,
536
+ "loss": 0.8966,
537
+ "step": 435
538
+ },
539
+ {
540
+ "epoch": 0.39,
541
+ "learning_rate": 1.5451947721626676e-05,
542
+ "loss": 0.9028,
543
+ "step": 440
544
+ },
545
+ {
546
+ "epoch": 0.39,
547
+ "learning_rate": 1.532309561760612e-05,
548
+ "loss": 0.8978,
549
+ "step": 445
550
+ },
551
+ {
552
+ "epoch": 0.39,
553
+ "learning_rate": 1.5192998268983625e-05,
554
+ "loss": 0.9181,
555
+ "step": 450
556
+ },
557
+ {
558
+ "epoch": 0.4,
559
+ "learning_rate": 1.506168610974587e-05,
560
+ "loss": 0.8942,
561
+ "step": 455
562
+ },
563
+ {
564
+ "epoch": 0.4,
565
+ "learning_rate": 1.4929189858063103e-05,
566
+ "loss": 0.8978,
567
+ "step": 460
568
+ },
569
+ {
570
+ "epoch": 0.41,
571
+ "learning_rate": 1.4795540509103182e-05,
572
+ "loss": 0.9068,
573
+ "step": 465
574
+ },
575
+ {
576
+ "epoch": 0.41,
577
+ "learning_rate": 1.4660769327780796e-05,
578
+ "loss": 0.9053,
579
+ "step": 470
580
+ },
581
+ {
582
+ "epoch": 0.42,
583
+ "learning_rate": 1.4524907841443576e-05,
584
+ "loss": 0.9018,
585
+ "step": 475
586
+ },
587
+ {
588
+ "epoch": 0.42,
589
+ "learning_rate": 1.4387987832496848e-05,
590
+ "loss": 0.9095,
591
+ "step": 480
592
+ },
593
+ {
594
+ "epoch": 0.42,
595
+ "learning_rate": 1.4250041330968674e-05,
596
+ "loss": 0.8824,
597
+ "step": 485
598
+ },
599
+ {
600
+ "epoch": 0.43,
601
+ "learning_rate": 1.411110060701701e-05,
602
+ "loss": 0.905,
603
+ "step": 490
604
+ },
605
+ {
606
+ "epoch": 0.43,
607
+ "learning_rate": 1.3971198163380659e-05,
608
+ "loss": 0.8961,
609
+ "step": 495
610
+ },
611
+ {
612
+ "epoch": 0.44,
613
+ "learning_rate": 1.3830366727775835e-05,
614
+ "loss": 0.8865,
615
+ "step": 500
616
+ },
617
+ {
618
+ "epoch": 0.44,
619
+ "learning_rate": 1.3688639245240078e-05,
620
+ "loss": 0.8926,
621
+ "step": 505
622
+ },
623
+ {
624
+ "epoch": 0.45,
625
+ "learning_rate": 1.3546048870425356e-05,
626
+ "loss": 0.9027,
627
+ "step": 510
628
+ },
629
+ {
630
+ "epoch": 0.45,
631
+ "learning_rate": 1.3402628959842106e-05,
632
+ "loss": 0.9049,
633
+ "step": 515
634
+ },
635
+ {
636
+ "epoch": 0.46,
637
+ "learning_rate": 1.3258413064056066e-05,
638
+ "loss": 0.8778,
639
+ "step": 520
640
+ },
641
+ {
642
+ "epoch": 0.46,
643
+ "learning_rate": 1.3113434919839715e-05,
644
+ "loss": 0.8943,
645
+ "step": 525
646
+ },
647
+ {
648
+ "epoch": 0.46,
649
+ "learning_rate": 1.2967728442280154e-05,
650
+ "loss": 0.8858,
651
+ "step": 530
652
+ },
653
+ {
654
+ "epoch": 0.47,
655
+ "learning_rate": 1.2821327716845246e-05,
656
+ "loss": 0.8833,
657
+ "step": 535
658
+ },
659
+ {
660
+ "epoch": 0.47,
661
+ "learning_rate": 1.2674266991409949e-05,
662
+ "loss": 0.8963,
663
+ "step": 540
664
+ },
665
+ {
666
+ "epoch": 0.48,
667
+ "learning_rate": 1.2526580668244607e-05,
668
+ "loss": 0.8908,
669
+ "step": 545
670
+ },
671
+ {
672
+ "epoch": 0.48,
673
+ "learning_rate": 1.2378303295967147e-05,
674
+ "loss": 0.8985,
675
+ "step": 550
676
+ },
677
+ {
678
+ "epoch": 0.49,
679
+ "learning_rate": 1.2229469561461046e-05,
680
+ "loss": 0.9021,
681
+ "step": 555
682
+ },
683
+ {
684
+ "epoch": 0.49,
685
+ "learning_rate": 1.2080114281760942e-05,
686
+ "loss": 0.9056,
687
+ "step": 560
688
+ },
689
+ {
690
+ "epoch": 0.49,
691
+ "learning_rate": 1.1930272395907789e-05,
692
+ "loss": 0.898,
693
+ "step": 565
694
+ },
695
+ {
696
+ "epoch": 0.5,
697
+ "learning_rate": 1.1779978956775507e-05,
698
+ "loss": 0.8985,
699
+ "step": 570
700
+ },
701
+ {
702
+ "epoch": 0.5,
703
+ "learning_rate": 1.1629269122870942e-05,
704
+ "loss": 0.9042,
705
+ "step": 575
706
+ },
707
+ {
708
+ "epoch": 0.51,
709
+ "learning_rate": 1.14781781501092e-05,
710
+ "loss": 0.8845,
711
+ "step": 580
712
+ },
713
+ {
714
+ "epoch": 0.51,
715
+ "learning_rate": 1.1326741383566102e-05,
716
+ "loss": 0.8977,
717
+ "step": 585
718
+ },
719
+ {
720
+ "epoch": 0.52,
721
+ "learning_rate": 1.1174994249209852e-05,
722
+ "loss": 0.8871,
723
+ "step": 590
724
+ },
725
+ {
726
+ "epoch": 0.52,
727
+ "learning_rate": 1.1022972245613735e-05,
728
+ "loss": 0.9106,
729
+ "step": 595
730
+ },
731
+ {
732
+ "epoch": 0.53,
733
+ "learning_rate": 1.0870710935651868e-05,
734
+ "loss": 0.903,
735
+ "step": 600
736
+ },
737
+ {
738
+ "epoch": 0.53,
739
+ "learning_rate": 1.0718245938179886e-05,
740
+ "loss": 0.8802,
741
+ "step": 605
742
+ },
743
+ {
744
+ "epoch": 0.53,
745
+ "learning_rate": 1.0565612919702527e-05,
746
+ "loss": 0.8879,
747
+ "step": 610
748
+ },
749
+ {
750
+ "epoch": 0.54,
751
+ "learning_rate": 1.041284758603009e-05,
752
+ "loss": 0.9077,
753
+ "step": 615
754
+ },
755
+ {
756
+ "epoch": 0.54,
757
+ "learning_rate": 1.0259985673925694e-05,
758
+ "loss": 0.8867,
759
+ "step": 620
760
+ },
761
+ {
762
+ "epoch": 0.55,
763
+ "learning_rate": 1.0107062942745276e-05,
764
+ "loss": 0.8868,
765
+ "step": 625
766
+ },
767
+ {
768
+ "epoch": 0.55,
769
+ "learning_rate": 9.95411516607233e-06,
770
+ "loss": 0.888,
771
+ "step": 630
772
+ },
773
+ {
774
+ "epoch": 0.56,
775
+ "learning_rate": 9.801178123349298e-06,
776
+ "loss": 0.9066,
777
+ "step": 635
778
+ },
779
+ {
780
+ "epoch": 0.56,
781
+ "learning_rate": 9.648287591507613e-06,
782
+ "loss": 0.8995,
783
+ "step": 640
784
+ },
785
+ {
786
+ "epoch": 0.56,
787
+ "learning_rate": 9.49547933659829e-06,
788
+ "loss": 0.8952,
789
+ "step": 645
790
+ },
791
+ {
792
+ "epoch": 0.57,
793
+ "learning_rate": 9.34278910542512e-06,
794
+ "loss": 0.888,
795
+ "step": 650
796
+ },
797
+ {
798
+ "epoch": 0.57,
799
+ "learning_rate": 9.190252617182301e-06,
800
+ "loss": 0.8911,
801
+ "step": 655
802
+ },
803
+ {
804
+ "epoch": 0.58,
805
+ "learning_rate": 9.037905555098589e-06,
806
+ "loss": 0.8934,
807
+ "step": 660
808
+ },
809
+ {
810
+ "epoch": 0.58,
811
+ "learning_rate": 8.88578355808981e-06,
812
+ "loss": 0.8905,
813
+ "step": 665
814
+ },
815
+ {
816
+ "epoch": 0.59,
817
+ "learning_rate": 8.733922212421785e-06,
818
+ "loss": 0.8763,
819
+ "step": 670
820
+ },
821
+ {
822
+ "epoch": 0.59,
823
+ "learning_rate": 8.582357043385529e-06,
824
+ "loss": 0.8957,
825
+ "step": 675
826
+ },
827
+ {
828
+ "epoch": 0.6,
829
+ "learning_rate": 8.431123506986747e-06,
830
+ "loss": 0.9015,
831
+ "step": 680
832
+ },
833
+ {
834
+ "epoch": 0.6,
835
+ "learning_rate": 8.280256981651527e-06,
836
+ "loss": 0.886,
837
+ "step": 685
838
+ },
839
+ {
840
+ "epoch": 0.6,
841
+ "learning_rate": 8.129792759950157e-06,
842
+ "loss": 0.8913,
843
+ "step": 690
844
+ },
845
+ {
846
+ "epoch": 0.61,
847
+ "learning_rate": 7.979766040341084e-06,
848
+ "loss": 0.884,
849
+ "step": 695
850
+ },
851
+ {
852
+ "epoch": 0.61,
853
+ "learning_rate": 7.83021191893682e-06,
854
+ "loss": 0.8935,
855
+ "step": 700
856
+ },
857
+ {
858
+ "epoch": 0.62,
859
+ "learning_rate": 7.68116538129385e-06,
860
+ "loss": 0.8903,
861
+ "step": 705
862
+ },
863
+ {
864
+ "epoch": 0.62,
865
+ "learning_rate": 7.53266129422835e-06,
866
+ "loss": 0.8685,
867
+ "step": 710
868
+ },
869
+ {
870
+ "epoch": 0.63,
871
+ "learning_rate": 7.3847343976597454e-06,
872
+ "loss": 0.8763,
873
+ "step": 715
874
+ },
875
+ {
876
+ "epoch": 0.63,
877
+ "learning_rate": 7.237419296483876e-06,
878
+ "loss": 0.9013,
879
+ "step": 720
880
+ },
881
+ {
882
+ "epoch": 0.63,
883
+ "learning_rate": 7.09075045247782e-06,
884
+ "loss": 0.8755,
885
+ "step": 725
886
+ },
887
+ {
888
+ "epoch": 0.64,
889
+ "learning_rate": 6.944762176238149e-06,
890
+ "loss": 0.9027,
891
+ "step": 730
892
+ },
893
+ {
894
+ "epoch": 0.64,
895
+ "learning_rate": 6.799488619154586e-06,
896
+ "loss": 0.8952,
897
+ "step": 735
898
+ },
899
+ {
900
+ "epoch": 0.65,
901
+ "learning_rate": 6.654963765420866e-06,
902
+ "loss": 0.879,
903
+ "step": 740
904
+ },
905
+ {
906
+ "epoch": 0.65,
907
+ "learning_rate": 6.511221424084748e-06,
908
+ "loss": 0.8966,
909
+ "step": 745
910
+ },
911
+ {
912
+ "epoch": 0.66,
913
+ "learning_rate": 6.3682952211389735e-06,
914
+ "loss": 0.8885,
915
+ "step": 750
916
+ },
917
+ {
918
+ "epoch": 0.66,
919
+ "learning_rate": 6.226218591655071e-06,
920
+ "loss": 0.8966,
921
+ "step": 755
922
+ },
923
+ {
924
+ "epoch": 0.67,
925
+ "learning_rate": 6.085024771961792e-06,
926
+ "loss": 0.8881,
927
+ "step": 760
928
+ },
929
+ {
930
+ "epoch": 0.67,
931
+ "learning_rate": 5.944746791870062e-06,
932
+ "loss": 0.8742,
933
+ "step": 765
934
+ },
935
+ {
936
+ "epoch": 0.67,
937
+ "learning_rate": 5.8054174669462425e-06,
938
+ "loss": 0.873,
939
+ "step": 770
940
+ },
941
+ {
942
+ "epoch": 0.68,
943
+ "learning_rate": 5.667069390835496e-06,
944
+ "loss": 0.8789,
945
+ "step": 775
946
+ },
947
+ {
948
+ "epoch": 0.68,
949
+ "learning_rate": 5.529734927637096e-06,
950
+ "loss": 0.8773,
951
+ "step": 780
952
+ },
953
+ {
954
+ "epoch": 0.69,
955
+ "learning_rate": 5.393446204333386e-06,
956
+ "loss": 0.8865,
957
+ "step": 785
958
+ },
959
+ {
960
+ "epoch": 0.69,
961
+ "learning_rate": 5.258235103274265e-06,
962
+ "loss": 0.8666,
963
+ "step": 790
964
+ },
965
+ {
966
+ "epoch": 0.7,
967
+ "learning_rate": 5.1241332547188535e-06,
968
+ "loss": 0.894,
969
+ "step": 795
970
+ },
971
+ {
972
+ "epoch": 0.7,
973
+ "learning_rate": 4.991172029436157e-06,
974
+ "loss": 0.8827,
975
+ "step": 800
976
+ },
977
+ {
978
+ "epoch": 0.7,
979
+ "learning_rate": 4.859382531366428e-06,
980
+ "loss": 0.8687,
981
+ "step": 805
982
+ },
983
+ {
984
+ "epoch": 0.71,
985
+ "learning_rate": 4.728795590344948e-06,
986
+ "loss": 0.8737,
987
+ "step": 810
988
+ },
989
+ {
990
+ "epoch": 0.71,
991
+ "learning_rate": 4.599441754889919e-06,
992
+ "loss": 0.8704,
993
+ "step": 815
994
+ },
995
+ {
996
+ "epoch": 0.72,
997
+ "learning_rate": 4.471351285056192e-06,
998
+ "loss": 0.8602,
999
+ "step": 820
1000
+ },
1001
+ {
1002
+ "epoch": 0.72,
1003
+ "learning_rate": 4.344554145356447e-06,
1004
+ "loss": 0.8815,
1005
+ "step": 825
1006
+ },
1007
+ {
1008
+ "epoch": 0.73,
1009
+ "learning_rate": 4.219079997751515e-06,
1010
+ "loss": 0.8788,
1011
+ "step": 830
1012
+ },
1013
+ {
1014
+ "epoch": 0.73,
1015
+ "learning_rate": 4.0949581947115106e-06,
1016
+ "loss": 0.8932,
1017
+ "step": 835
1018
+ },
1019
+ {
1020
+ "epoch": 0.74,
1021
+ "learning_rate": 3.972217772349309e-06,
1022
+ "loss": 0.8818,
1023
+ "step": 840
1024
+ },
1025
+ {
1026
+ "epoch": 0.74,
1027
+ "learning_rate": 3.850887443628075e-06,
1028
+ "loss": 0.8914,
1029
+ "step": 845
1030
+ },
1031
+ {
1032
+ "epoch": 0.74,
1033
+ "learning_rate": 3.7309955916443597e-06,
1034
+ "loss": 0.8758,
1035
+ "step": 850
1036
+ },
1037
+ {
1038
+ "epoch": 0.75,
1039
+ "learning_rate": 3.612570262988393e-06,
1040
+ "loss": 0.8869,
1041
+ "step": 855
1042
+ },
1043
+ {
1044
+ "epoch": 0.75,
1045
+ "learning_rate": 3.4956391611830486e-06,
1046
+ "loss": 0.8841,
1047
+ "step": 860
1048
+ },
1049
+ {
1050
+ "epoch": 0.76,
1051
+ "learning_rate": 3.3802296402031234e-06,
1052
+ "loss": 0.896,
1053
+ "step": 865
1054
+ },
1055
+ {
1056
+ "epoch": 0.76,
1057
+ "learning_rate": 3.266368698076323e-06,
1058
+ "loss": 0.8891,
1059
+ "step": 870
1060
+ },
1061
+ {
1062
+ "epoch": 0.77,
1063
+ "learning_rate": 3.1540829705675835e-06,
1064
+ "loss": 0.8743,
1065
+ "step": 875
1066
+ },
1067
+ {
1068
+ "epoch": 0.77,
1069
+ "learning_rate": 3.043398724948068e-06,
1070
+ "loss": 0.8846,
1071
+ "step": 880
1072
+ },
1073
+ {
1074
+ "epoch": 0.77,
1075
+ "learning_rate": 2.9343418538504297e-06,
1076
+ "loss": 0.8715,
1077
+ "step": 885
1078
+ },
1079
+ {
1080
+ "epoch": 0.78,
1081
+ "learning_rate": 2.8269378692116676e-06,
1082
+ "loss": 0.8753,
1083
+ "step": 890
1084
+ },
1085
+ {
1086
+ "epoch": 0.78,
1087
+ "learning_rate": 2.721211896305059e-06,
1088
+ "loss": 0.8814,
1089
+ "step": 895
1090
+ },
1091
+ {
1092
+ "epoch": 0.79,
1093
+ "learning_rate": 2.6171886678625593e-06,
1094
+ "loss": 0.8792,
1095
+ "step": 900
1096
+ },
1097
+ {
1098
+ "epoch": 0.79,
1099
+ "learning_rate": 2.514892518288988e-06,
1100
+ "loss": 0.8838,
1101
+ "step": 905
1102
+ },
1103
+ {
1104
+ "epoch": 0.8,
1105
+ "learning_rate": 2.4143473779694548e-06,
1106
+ "loss": 0.885,
1107
+ "step": 910
1108
+ },
1109
+ {
1110
+ "epoch": 0.8,
1111
+ "learning_rate": 2.3155767676712317e-06,
1112
+ "loss": 0.8936,
1113
+ "step": 915
1114
+ },
1115
+ {
1116
+ "epoch": 0.81,
1117
+ "learning_rate": 2.218603793041516e-06,
1118
+ "loss": 0.8704,
1119
+ "step": 920
1120
+ },
1121
+ {
1122
+ "epoch": 0.81,
1123
+ "learning_rate": 2.1234511392022473e-06,
1124
+ "loss": 0.8797,
1125
+ "step": 925
1126
+ },
1127
+ {
1128
+ "epoch": 0.81,
1129
+ "learning_rate": 2.0301410654433307e-06,
1130
+ "loss": 0.8728,
1131
+ "step": 930
1132
+ },
1133
+ {
1134
+ "epoch": 0.82,
1135
+ "learning_rate": 1.938695400015467e-06,
1136
+ "loss": 0.8907,
1137
+ "step": 935
1138
+ },
1139
+ {
1140
+ "epoch": 0.82,
1141
+ "learning_rate": 1.849135535023825e-06,
1142
+ "loss": 0.8855,
1143
+ "step": 940
1144
+ },
1145
+ {
1146
+ "epoch": 0.83,
1147
+ "learning_rate": 1.7614824214237158e-06,
1148
+ "loss": 0.8857,
1149
+ "step": 945
1150
+ },
1151
+ {
1152
+ "epoch": 0.83,
1153
+ "learning_rate": 1.6757565641195073e-06,
1154
+ "loss": 0.8916,
1155
+ "step": 950
1156
+ },
1157
+ {
1158
+ "epoch": 0.84,
1159
+ "learning_rate": 1.5919780171678412e-06,
1160
+ "loss": 0.8912,
1161
+ "step": 955
1162
+ },
1163
+ {
1164
+ "epoch": 0.84,
1165
+ "learning_rate": 1.5101663790863597e-06,
1166
+ "loss": 0.8789,
1167
+ "step": 960
1168
+ },
1169
+ {
1170
+ "epoch": 0.85,
1171
+ "learning_rate": 1.4303407882689635e-06,
1172
+ "loss": 0.871,
1173
+ "step": 965
1174
+ },
1175
+ {
1176
+ "epoch": 0.85,
1177
+ "learning_rate": 1.3525199185087223e-06,
1178
+ "loss": 0.8827,
1179
+ "step": 970
1180
+ },
1181
+ {
1182
+ "epoch": 0.85,
1183
+ "learning_rate": 1.2767219746294724e-06,
1184
+ "loss": 0.8904,
1185
+ "step": 975
1186
+ },
1187
+ {
1188
+ "epoch": 0.86,
1189
+ "learning_rate": 1.2029646882271173e-06,
1190
+ "loss": 0.8848,
1191
+ "step": 980
1192
+ },
1193
+ {
1194
+ "epoch": 0.86,
1195
+ "learning_rate": 1.131265313521639e-06,
1196
+ "loss": 0.8738,
1197
+ "step": 985
1198
+ },
1199
+ {
1200
+ "epoch": 0.87,
1201
+ "learning_rate": 1.06164062332076e-06,
1202
+ "loss": 0.8779,
1203
+ "step": 990
1204
+ },
1205
+ {
1206
+ "epoch": 0.87,
1207
+ "learning_rate": 9.941069050962626e-07,
1208
+ "loss": 0.8871,
1209
+ "step": 995
1210
+ },
1211
+ {
1212
+ "epoch": 0.88,
1213
+ "learning_rate": 9.286799571737981e-07,
1214
+ "loss": 0.8733,
1215
+ "step": 1000
1216
+ },
1217
+ {
1218
+ "epoch": 0.88,
1219
+ "learning_rate": 8.653750850371667e-07,
1220
+ "loss": 0.8712,
1221
+ "step": 1005
1222
+ },
1223
+ {
1224
+ "epoch": 0.88,
1225
+ "learning_rate": 8.042070977478533e-07,
1226
+ "loss": 0.8785,
1227
+ "step": 1010
1228
+ },
1229
+ {
1230
+ "epoch": 0.89,
1231
+ "learning_rate": 7.451903044807185e-07,
1232
+ "loss": 0.8748,
1233
+ "step": 1015
1234
+ },
1235
+ {
1236
+ "epoch": 0.89,
1237
+ "learning_rate": 6.883385111766139e-07,
1238
+ "loss": 0.8682,
1239
+ "step": 1020
1240
+ },
1241
+ {
1242
+ "epoch": 0.9,
1243
+ "learning_rate": 6.336650173127224e-07,
1244
+ "loss": 0.884,
1245
+ "step": 1025
1246
+ },
1247
+ {
1248
+ "epoch": 0.9,
1249
+ "learning_rate": 5.811826127913855e-07,
1250
+ "loss": 0.8665,
1251
+ "step": 1030
1252
+ },
1253
+ {
1254
+ "epoch": 0.91,
1255
+ "learning_rate": 5.309035749481295e-07,
1256
+ "loss": 0.8758,
1257
+ "step": 1035
1258
+ },
1259
+ {
1260
+ "epoch": 0.91,
1261
+ "learning_rate": 4.828396656795964e-07,
1262
+ "loss": 0.8835,
1263
+ "step": 1040
1264
+ },
1265
+ {
1266
+ "epoch": 0.92,
1267
+ "learning_rate": 4.3700212869205117e-07,
1268
+ "loss": 0.8861,
1269
+ "step": 1045
1270
+ },
1271
+ {
1272
+ "epoch": 0.92,
1273
+ "learning_rate": 3.934016868711266e-07,
1274
+ "loss": 0.8762,
1275
+ "step": 1050
1276
+ },
1277
+ {
1278
+ "epoch": 0.92,
1279
+ "learning_rate": 3.520485397733786e-07,
1280
+ "loss": 0.8697,
1281
+ "step": 1055
1282
+ },
1283
+ {
1284
+ "epoch": 0.93,
1285
+ "learning_rate": 3.129523612402918e-07,
1286
+ "loss": 0.9092,
1287
+ "step": 1060
1288
+ },
1289
+ {
1290
+ "epoch": 0.93,
1291
+ "learning_rate": 2.761222971352451e-07,
1292
+ "loss": 0.8828,
1293
+ "step": 1065
1294
+ },
1295
+ {
1296
+ "epoch": 0.94,
1297
+ "learning_rate": 2.4156696320399963e-07,
1298
+ "loss": 0.8741,
1299
+ "step": 1070
1300
+ },
1301
+ {
1302
+ "epoch": 0.94,
1303
+ "learning_rate": 2.0929444305920142e-07,
1304
+ "loss": 0.8691,
1305
+ "step": 1075
1306
+ },
1307
+ {
1308
+ "epoch": 0.95,
1309
+ "learning_rate": 1.7931228628935926e-07,
1310
+ "loss": 0.8818,
1311
+ "step": 1080
1312
+ },
1313
+ {
1314
+ "epoch": 0.95,
1315
+ "learning_rate": 1.5162750669274973e-07,
1316
+ "loss": 0.8684,
1317
+ "step": 1085
1318
+ },
1319
+ {
1320
+ "epoch": 0.95,
1321
+ "learning_rate": 1.262465806366664e-07,
1322
+ "loss": 0.8709,
1323
+ "step": 1090
1324
+ },
1325
+ {
1326
+ "epoch": 0.96,
1327
+ "learning_rate": 1.0317544554238058e-07,
1328
+ "loss": 0.8805,
1329
+ "step": 1095
1330
+ },
1331
+ {
1332
+ "epoch": 0.96,
1333
+ "learning_rate": 8.241949849619457e-08,
1334
+ "loss": 0.8923,
1335
+ "step": 1100
1336
+ },
1337
+ {
1338
+ "epoch": 0.97,
1339
+ "learning_rate": 6.398359498688278e-08,
1340
+ "loss": 0.8889,
1341
+ "step": 1105
1342
+ },
1343
+ {
1344
+ "epoch": 0.97,
1345
+ "learning_rate": 4.787204776983689e-08,
1346
+ "loss": 0.8644,
1347
+ "step": 1110
1348
+ },
1349
+ {
1350
+ "epoch": 0.98,
1351
+ "learning_rate": 3.4088625858174075e-08,
1352
+ "loss": 0.8637,
1353
+ "step": 1115
1354
+ },
1355
+ {
1356
+ "epoch": 0.98,
1357
+ "learning_rate": 2.2636553641040003e-08,
1358
+ "loss": 0.8687,
1359
+ "step": 1120
1360
+ },
1361
+ {
1362
+ "epoch": 0.99,
1363
+ "learning_rate": 1.351851012931893e-08,
1364
+ "loss": 0.8688,
1365
+ "step": 1125
1366
+ },
1367
+ {
1368
+ "epoch": 0.99,
1369
+ "learning_rate": 6.736628328933847e-09,
1370
+ "loss": 0.8801,
1371
+ "step": 1130
1372
+ },
1373
+ {
1374
+ "epoch": 0.99,
1375
+ "learning_rate": 2.2924947418556666e-09,
1376
+ "loss": 0.8763,
1377
+ "step": 1135
1378
+ },
1379
+ {
1380
+ "epoch": 1.0,
1381
+ "learning_rate": 1.8714899497895845e-10,
1382
+ "loss": 0.8826,
1383
+ "step": 1140
1384
+ },
1385
+ {
1386
+ "epoch": 1.0,
1387
+ "eval_loss": 0.8859861493110657,
1388
+ "eval_runtime": 543.8854,
1389
+ "eval_samples_per_second": 29.723,
1390
+ "eval_steps_per_second": 0.465,
1391
+ "step": 1142
1392
+ },
1393
+ {
1394
+ "epoch": 1.0,
1395
+ "step": 1142,
1396
+ "total_flos": 2.3084944059126514e+19,
1397
+ "train_loss": 0.908709870119646,
1398
+ "train_runtime": 20356.4656,
1399
+ "train_samples_per_second": 7.175,
1400
+ "train_steps_per_second": 0.056
1401
+ }
1402
+ ],
1403
+ "logging_steps": 5,
1404
+ "max_steps": 1142,
1405
+ "num_input_tokens_seen": 0,
1406
+ "num_train_epochs": 1,
1407
+ "save_steps": 1000,
1408
+ "total_flos": 2.3084944059126514e+19,
1409
+ "train_batch_size": 16,
1410
+ "trial_name": null,
1411
+ "trial_params": null
1412
+ }