Kikkk commited on
Commit
75e22b8
1 Parent(s): e610db2
README.md CHANGED
@@ -1,3 +1,60 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /data0/qyj/Mistral-7B-v0.3
3
+ tags:
4
+ - alignment-handbook
5
+ - generated_from_trainer
6
+ datasets:
7
+ - /data1/qyj/ComplexInstruct/data/train_data/Long_data_N/forward_W_reverse_13k_FRICL_7.5_.75
8
+ model-index:
9
+ - name: forward_W_reverse_13k_FRICL_7.5_.75
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
+ # forward_W_reverse_13k_FRICL_7.5_.75
17
+
18
+ This model is a fine-tuned version of [/data0/qyj/Mistral-7B-v0.3](https://huggingface.co//data0/qyj/Mistral-7B-v0.3) on the /data1/qyj/ComplexInstruct/data/train_data/Long_data_N/forward_W_reverse_13k_FRICL_7.5_.75 dataset.
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 5e-06
38
+ - train_batch_size: 4
39
+ - eval_batch_size: 4
40
+ - seed: 42
41
+ - distributed_type: multi-GPU
42
+ - num_devices: 8
43
+ - gradient_accumulation_steps: 8
44
+ - total_train_batch_size: 256
45
+ - total_eval_batch_size: 32
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: cosine
48
+ - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 4
50
+
51
+ ### Training results
52
+
53
+
54
+
55
+ ### Framework versions
56
+
57
+ - Transformers 4.44.0
58
+ - Pytorch 2.0.0
59
+ - Datasets 2.21.0
60
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "total_flos": 1.3695396597968404e+19,
4
+ "train_loss": 0.5748976978406407,
5
+ "train_runtime": 13335.1785,
6
+ "train_samples": 66500,
7
+ "train_samples_per_second": 11.743,
8
+ "train_steps_per_second": 0.046
9
+ }
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data0/qyj/Mistral-7B-v0.3",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "head_dim": 128,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 14336,
14
+ "max_position_embeddings": 32768,
15
+ "model_type": "mistral",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 32,
18
+ "num_key_value_heads": 8,
19
+ "rms_norm_eps": 1e-05,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.44.0",
25
+ "use_cache": true,
26
+ "vocab_size": 32768
27
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.44.0"
6
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e0a845ae4bf45bd1b8203d05ac26fa55a7f941b61c66769372dc811366f7751
3
+ size 4949453792
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ac16b2a0051fca85a7fcbe2846e82859efee3e8f5361e94489b0092fe635654
3
+ size 4999819336
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0d714007bd3fb28d37a7e48769aa3ba0513b2078a3fe44a2b15260bcb4b8491
3
+ size 4546807800
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14496047104
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
3
+ size 587404
tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.0,
3
+ "total_flos": 1.3695396597968404e+19,
4
+ "train_loss": 0.5748976978406407,
5
+ "train_runtime": 13335.1785,
6
+ "train_samples": 66500,
7
+ "train_samples_per_second": 11.743,
8
+ "train_steps_per_second": 0.046
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,476 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.0,
5
+ "eval_steps": 500,
6
+ "global_step": 612,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.006535947712418301,
13
+ "grad_norm": 11.154335021972656,
14
+ "learning_rate": 8.064516129032259e-08,
15
+ "loss": 1.1172,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.06535947712418301,
20
+ "grad_norm": 5.521430969238281,
21
+ "learning_rate": 8.064516129032258e-07,
22
+ "loss": 1.0538,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.13071895424836602,
27
+ "grad_norm": 2.362562417984009,
28
+ "learning_rate": 1.6129032258064516e-06,
29
+ "loss": 0.9643,
30
+ "step": 20
31
+ },
32
+ {
33
+ "epoch": 0.19607843137254902,
34
+ "grad_norm": 2.3052921295166016,
35
+ "learning_rate": 2.4193548387096776e-06,
36
+ "loss": 0.9044,
37
+ "step": 30
38
+ },
39
+ {
40
+ "epoch": 0.26143790849673204,
41
+ "grad_norm": 1.4959567785263062,
42
+ "learning_rate": 3.225806451612903e-06,
43
+ "loss": 0.8643,
44
+ "step": 40
45
+ },
46
+ {
47
+ "epoch": 0.32679738562091504,
48
+ "grad_norm": 1.5943924188613892,
49
+ "learning_rate": 4.032258064516129e-06,
50
+ "loss": 0.8507,
51
+ "step": 50
52
+ },
53
+ {
54
+ "epoch": 0.39215686274509803,
55
+ "grad_norm": 1.6096584796905518,
56
+ "learning_rate": 4.838709677419355e-06,
57
+ "loss": 0.8438,
58
+ "step": 60
59
+ },
60
+ {
61
+ "epoch": 0.45751633986928103,
62
+ "grad_norm": 1.4947034120559692,
63
+ "learning_rate": 4.997390310845578e-06,
64
+ "loss": 0.8257,
65
+ "step": 70
66
+ },
67
+ {
68
+ "epoch": 0.5228758169934641,
69
+ "grad_norm": 1.7357966899871826,
70
+ "learning_rate": 4.986797785768296e-06,
71
+ "loss": 0.832,
72
+ "step": 80
73
+ },
74
+ {
75
+ "epoch": 0.5882352941176471,
76
+ "grad_norm": 2.4221644401550293,
77
+ "learning_rate": 4.968093843200407e-06,
78
+ "loss": 0.8168,
79
+ "step": 90
80
+ },
81
+ {
82
+ "epoch": 0.6535947712418301,
83
+ "grad_norm": 1.916853427886963,
84
+ "learning_rate": 4.9413394915149094e-06,
85
+ "loss": 0.8077,
86
+ "step": 100
87
+ },
88
+ {
89
+ "epoch": 0.7189542483660131,
90
+ "grad_norm": 1.7931920289993286,
91
+ "learning_rate": 4.9066219978460485e-06,
92
+ "loss": 0.7937,
93
+ "step": 110
94
+ },
95
+ {
96
+ "epoch": 0.7843137254901961,
97
+ "grad_norm": 1.5507404804229736,
98
+ "learning_rate": 4.864054603442063e-06,
99
+ "loss": 0.784,
100
+ "step": 120
101
+ },
102
+ {
103
+ "epoch": 0.8496732026143791,
104
+ "grad_norm": 1.6783676147460938,
105
+ "learning_rate": 4.813776154295767e-06,
106
+ "loss": 0.7874,
107
+ "step": 130
108
+ },
109
+ {
110
+ "epoch": 0.9150326797385621,
111
+ "grad_norm": 1.4907172918319702,
112
+ "learning_rate": 4.755950648257789e-06,
113
+ "loss": 0.7858,
114
+ "step": 140
115
+ },
116
+ {
117
+ "epoch": 0.9803921568627451,
118
+ "grad_norm": 1.4448139667510986,
119
+ "learning_rate": 4.690766700109659e-06,
120
+ "loss": 0.7849,
121
+ "step": 150
122
+ },
123
+ {
124
+ "epoch": 1.0457516339869282,
125
+ "grad_norm": 1.9426017999649048,
126
+ "learning_rate": 4.618436926341607e-06,
127
+ "loss": 0.6916,
128
+ "step": 160
129
+ },
130
+ {
131
+ "epoch": 1.1111111111111112,
132
+ "grad_norm": 1.858111023902893,
133
+ "learning_rate": 4.5391972516417545e-06,
134
+ "loss": 0.6377,
135
+ "step": 170
136
+ },
137
+ {
138
+ "epoch": 1.1764705882352942,
139
+ "grad_norm": 1.7554138898849487,
140
+ "learning_rate": 4.453306139358828e-06,
141
+ "loss": 0.6431,
142
+ "step": 180
143
+ },
144
+ {
145
+ "epoch": 1.2418300653594772,
146
+ "grad_norm": 1.6084789037704468,
147
+ "learning_rate": 4.36104374844843e-06,
148
+ "loss": 0.6474,
149
+ "step": 190
150
+ },
151
+ {
152
+ "epoch": 1.3071895424836601,
153
+ "grad_norm": 1.7224164009094238,
154
+ "learning_rate": 4.262711019652764e-06,
155
+ "loss": 0.6372,
156
+ "step": 200
157
+ },
158
+ {
159
+ "epoch": 1.3725490196078431,
160
+ "grad_norm": 1.5711984634399414,
161
+ "learning_rate": 4.15862869389448e-06,
162
+ "loss": 0.6379,
163
+ "step": 210
164
+ },
165
+ {
166
+ "epoch": 1.4379084967320261,
167
+ "grad_norm": 1.7631185054779053,
168
+ "learning_rate": 4.049136266086453e-06,
169
+ "loss": 0.6302,
170
+ "step": 220
171
+ },
172
+ {
173
+ "epoch": 1.5032679738562091,
174
+ "grad_norm": 1.8376095294952393,
175
+ "learning_rate": 3.934590877769944e-06,
176
+ "loss": 0.6378,
177
+ "step": 230
178
+ },
179
+ {
180
+ "epoch": 1.5686274509803921,
181
+ "grad_norm": 2.0489087104797363,
182
+ "learning_rate": 3.815366152193122e-06,
183
+ "loss": 0.6164,
184
+ "step": 240
185
+ },
186
+ {
187
+ "epoch": 1.6339869281045751,
188
+ "grad_norm": 1.8818341493606567,
189
+ "learning_rate": 3.6918509756296876e-06,
190
+ "loss": 0.6284,
191
+ "step": 250
192
+ },
193
+ {
194
+ "epoch": 1.6993464052287581,
195
+ "grad_norm": 1.636940598487854,
196
+ "learning_rate": 3.564448228912682e-06,
197
+ "loss": 0.6223,
198
+ "step": 260
199
+ },
200
+ {
201
+ "epoch": 1.7647058823529411,
202
+ "grad_norm": 1.699742078781128,
203
+ "learning_rate": 3.4335734733209457e-06,
204
+ "loss": 0.6212,
205
+ "step": 270
206
+ },
207
+ {
208
+ "epoch": 1.8300653594771243,
209
+ "grad_norm": 1.6848982572555542,
210
+ "learning_rate": 3.299653595104603e-06,
211
+ "loss": 0.6241,
212
+ "step": 280
213
+ },
214
+ {
215
+ "epoch": 1.8954248366013071,
216
+ "grad_norm": 1.8798364400863647,
217
+ "learning_rate": 3.1631254130708446e-06,
218
+ "loss": 0.6149,
219
+ "step": 290
220
+ },
221
+ {
222
+ "epoch": 1.9607843137254903,
223
+ "grad_norm": 2.14373517036438,
224
+ "learning_rate": 3.0244342537717735e-06,
225
+ "loss": 0.6124,
226
+ "step": 300
227
+ },
228
+ {
229
+ "epoch": 2.026143790849673,
230
+ "grad_norm": 2.7039153575897217,
231
+ "learning_rate": 2.8840324989417488e-06,
232
+ "loss": 0.5466,
233
+ "step": 310
234
+ },
235
+ {
236
+ "epoch": 2.0915032679738563,
237
+ "grad_norm": 2.615293025970459,
238
+ "learning_rate": 2.742378109922204e-06,
239
+ "loss": 0.4731,
240
+ "step": 320
241
+ },
242
+ {
243
+ "epoch": 2.156862745098039,
244
+ "grad_norm": 2.0649566650390625,
245
+ "learning_rate": 2.599933133886934e-06,
246
+ "loss": 0.4673,
247
+ "step": 330
248
+ },
249
+ {
250
+ "epoch": 2.2222222222222223,
251
+ "grad_norm": 1.7854645252227783,
252
+ "learning_rate": 2.457162196740252e-06,
253
+ "loss": 0.4639,
254
+ "step": 340
255
+ },
256
+ {
257
+ "epoch": 2.287581699346405,
258
+ "grad_norm": 1.954106330871582,
259
+ "learning_rate": 2.31453098760387e-06,
260
+ "loss": 0.4732,
261
+ "step": 350
262
+ },
263
+ {
264
+ "epoch": 2.3529411764705883,
265
+ "grad_norm": 1.7365140914916992,
266
+ "learning_rate": 2.1725047398357677e-06,
267
+ "loss": 0.468,
268
+ "step": 360
269
+ },
270
+ {
271
+ "epoch": 2.418300653594771,
272
+ "grad_norm": 1.9597340822219849,
273
+ "learning_rate": 2.031546713535688e-06,
274
+ "loss": 0.4646,
275
+ "step": 370
276
+ },
277
+ {
278
+ "epoch": 2.4836601307189543,
279
+ "grad_norm": 1.8259657621383667,
280
+ "learning_rate": 1.8921166844869762e-06,
281
+ "loss": 0.4584,
282
+ "step": 380
283
+ },
284
+ {
285
+ "epoch": 2.549019607843137,
286
+ "grad_norm": 1.9516103267669678,
287
+ "learning_rate": 1.7546694444635394e-06,
288
+ "loss": 0.4644,
289
+ "step": 390
290
+ },
291
+ {
292
+ "epoch": 2.6143790849673203,
293
+ "grad_norm": 1.826661229133606,
294
+ "learning_rate": 1.6196533177936132e-06,
295
+ "loss": 0.4674,
296
+ "step": 400
297
+ },
298
+ {
299
+ "epoch": 2.6797385620915035,
300
+ "grad_norm": 1.6825226545333862,
301
+ "learning_rate": 1.487508699018987e-06,
302
+ "loss": 0.4614,
303
+ "step": 410
304
+ },
305
+ {
306
+ "epoch": 2.7450980392156863,
307
+ "grad_norm": 1.7974435091018677,
308
+ "learning_rate": 1.358666616419544e-06,
309
+ "loss": 0.4676,
310
+ "step": 420
311
+ },
312
+ {
313
+ "epoch": 2.810457516339869,
314
+ "grad_norm": 1.6989048719406128,
315
+ "learning_rate": 1.2335473260886046e-06,
316
+ "loss": 0.4496,
317
+ "step": 430
318
+ },
319
+ {
320
+ "epoch": 2.8758169934640523,
321
+ "grad_norm": 1.7996526956558228,
322
+ "learning_rate": 1.1125589411448996e-06,
323
+ "loss": 0.4597,
324
+ "step": 440
325
+ },
326
+ {
327
+ "epoch": 2.9411764705882355,
328
+ "grad_norm": 1.746968388557434,
329
+ "learning_rate": 9.960961005524033e-07,
330
+ "loss": 0.4532,
331
+ "step": 450
332
+ },
333
+ {
334
+ "epoch": 3.0065359477124183,
335
+ "grad_norm": 6.076014995574951,
336
+ "learning_rate": 8.845386818900647e-07,
337
+ "loss": 0.4454,
338
+ "step": 460
339
+ },
340
+ {
341
+ "epoch": 3.0718954248366015,
342
+ "grad_norm": 2.6995885372161865,
343
+ "learning_rate": 7.782505622700964e-07,
344
+ "loss": 0.3719,
345
+ "step": 470
346
+ },
347
+ {
348
+ "epoch": 3.1372549019607843,
349
+ "grad_norm": 2.025956869125366,
350
+ "learning_rate": 6.775784314464717e-07,
351
+ "loss": 0.3699,
352
+ "step": 480
353
+ },
354
+ {
355
+ "epoch": 3.2026143790849675,
356
+ "grad_norm": 1.8959600925445557,
357
+ "learning_rate": 5.828506609850054e-07,
358
+ "loss": 0.3585,
359
+ "step": 490
360
+ },
361
+ {
362
+ "epoch": 3.2679738562091503,
363
+ "grad_norm": 1.9729666709899902,
364
+ "learning_rate": 4.943762331835622e-07,
365
+ "loss": 0.3579,
366
+ "step": 500
367
+ },
368
+ {
369
+ "epoch": 3.3333333333333335,
370
+ "grad_norm": 1.8463507890701294,
371
+ "learning_rate": 4.1244373323601874e-07,
372
+ "loss": 0.3572,
373
+ "step": 510
374
+ },
375
+ {
376
+ "epoch": 3.3986928104575163,
377
+ "grad_norm": 1.870890498161316,
378
+ "learning_rate": 3.3732040792734734e-07,
379
+ "loss": 0.3609,
380
+ "step": 520
381
+ },
382
+ {
383
+ "epoch": 3.4640522875816995,
384
+ "grad_norm": 1.8788135051727295,
385
+ "learning_rate": 2.6925129393015196e-07,
386
+ "loss": 0.3621,
387
+ "step": 530
388
+ },
389
+ {
390
+ "epoch": 3.5294117647058822,
391
+ "grad_norm": 1.8110865354537964,
392
+ "learning_rate": 2.0845841854597092e-07,
393
+ "loss": 0.3544,
394
+ "step": 540
395
+ },
396
+ {
397
+ "epoch": 3.5947712418300655,
398
+ "grad_norm": 1.8861949443817139,
399
+ "learning_rate": 1.5514007549836979e-07,
400
+ "loss": 0.3617,
401
+ "step": 550
402
+ },
403
+ {
404
+ "epoch": 3.6601307189542482,
405
+ "grad_norm": 1.814979910850525,
406
+ "learning_rate": 1.0947017814003258e-07,
407
+ "loss": 0.3664,
408
+ "step": 560
409
+ },
410
+ {
411
+ "epoch": 3.7254901960784315,
412
+ "grad_norm": 1.8255079984664917,
413
+ "learning_rate": 7.159769218354873e-08,
414
+ "loss": 0.3603,
415
+ "step": 570
416
+ },
417
+ {
418
+ "epoch": 3.7908496732026142,
419
+ "grad_norm": 1.795508623123169,
420
+ "learning_rate": 4.164614980622678e-08,
421
+ "loss": 0.3604,
422
+ "step": 580
423
+ },
424
+ {
425
+ "epoch": 3.8562091503267975,
426
+ "grad_norm": 1.8044642210006714,
427
+ "learning_rate": 1.9713246713805588e-08,
428
+ "loss": 0.3551,
429
+ "step": 590
430
+ },
431
+ {
432
+ "epoch": 3.9215686274509802,
433
+ "grad_norm": 1.8935906887054443,
434
+ "learning_rate": 5.87052347736844e-09,
435
+ "loss": 0.3599,
436
+ "step": 600
437
+ },
438
+ {
439
+ "epoch": 3.9869281045751634,
440
+ "grad_norm": 1.862278938293457,
441
+ "learning_rate": 1.6313218287128396e-10,
442
+ "loss": 0.3593,
443
+ "step": 610
444
+ },
445
+ {
446
+ "epoch": 4.0,
447
+ "step": 612,
448
+ "total_flos": 1.3695396597968404e+19,
449
+ "train_loss": 0.5748976978406407,
450
+ "train_runtime": 13335.1785,
451
+ "train_samples_per_second": 11.743,
452
+ "train_steps_per_second": 0.046
453
+ }
454
+ ],
455
+ "logging_steps": 10,
456
+ "max_steps": 612,
457
+ "num_input_tokens_seen": 0,
458
+ "num_train_epochs": 4,
459
+ "save_steps": 500,
460
+ "stateful_callbacks": {
461
+ "TrainerControl": {
462
+ "args": {
463
+ "should_epoch_stop": false,
464
+ "should_evaluate": false,
465
+ "should_log": false,
466
+ "should_save": false,
467
+ "should_training_stop": false
468
+ },
469
+ "attributes": {}
470
+ }
471
+ },
472
+ "total_flos": 1.3695396597968404e+19,
473
+ "train_batch_size": 4,
474
+ "trial_name": null,
475
+ "trial_params": null
476
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a5fe7baf29be67bee9a0d9eada6f642788ef15ccbeca7c40f2bec28435f28b5
3
+ size 6651