bluesky333 commited on
Commit
b0088e5
·
verified ·
1 Parent(s): 393add9

Upload folder using huggingface_hub

Browse files
added_tokens.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "\t\t": 50294,
3
+ "\t\t\t": 50293,
4
+ "\t\t\t\t": 50292,
5
+ "\t\t\t\t\t": 50291,
6
+ "\t\t\t\t\t\t": 50290,
7
+ "\t\t\t\t\t\t\t": 50289,
8
+ "\t\t\t\t\t\t\t\t": 50288,
9
+ "\t\t\t\t\t\t\t\t\t": 50287,
10
+ " ": 50286,
11
+ " ": 50285,
12
+ " ": 50284,
13
+ " ": 50283,
14
+ " ": 50282,
15
+ " ": 50281,
16
+ " ": 50280,
17
+ " ": 50279,
18
+ " ": 50278,
19
+ " ": 50277,
20
+ " ": 50276,
21
+ " ": 50275,
22
+ " ": 50274,
23
+ " ": 50273,
24
+ " ": 50272,
25
+ " ": 50271,
26
+ " ": 50270,
27
+ " ": 50269,
28
+ " ": 50268,
29
+ " ": 50267,
30
+ " ": 50266,
31
+ " ": 50265,
32
+ " ": 50264,
33
+ " ": 50263,
34
+ " ": 50262,
35
+ " ": 50261,
36
+ " ": 50260,
37
+ " ": 50259,
38
+ " ": 50258,
39
+ " ": 50257
40
+ }
config.json ADDED
@@ -0,0 +1,191 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./model/LLaVA-Med-Phi-finetune",
3
+ "architectures": [
4
+ "LlavaPhiForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "auto_map": {
8
+ "AutoConfig": "configuration_phi.PhiConfig",
9
+ "AutoModelForCausalLM": "modeling_phi.PhiForCausalLM"
10
+ },
11
+ "bos_token_id": null,
12
+ "embd_pdrop": 0.0,
13
+ "eos_token_id": null,
14
+ "freeze_vision_tower": false,
15
+ "hidden_act": "gelu_new",
16
+ "hidden_size": 2560,
17
+ "image_aspect_ratio": "pad",
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 10240,
20
+ "layer_norm_eps": 1e-05,
21
+ "max_position_embeddings": 2048,
22
+ "mm_projector_lr": null,
23
+ "mm_use_im_patch_token": false,
24
+ "mm_use_im_start_end": false,
25
+ "model_type": "llava_phi",
26
+ "num_attention_heads": 32,
27
+ "num_hidden_layers": 32,
28
+ "num_key_value_heads": 32,
29
+ "partial_rotary_factor": 0.4,
30
+ "qk_layernorm": false,
31
+ "resid_pdrop": 0.1,
32
+ "rope_scaling": null,
33
+ "rope_theta": 10000.0,
34
+ "tie_word_embeddings": false,
35
+ "tokenizer_model_max_length": 2048,
36
+ "tokenizer_padding_side": "right",
37
+ "torch_dtype": "bfloat16",
38
+ "transformers_version": "4.36.2",
39
+ "tune_mm_mlp_adapter": true,
40
+ "use_cache": true,
41
+ "vision_config": {
42
+ "mm_projector": {
43
+ "_name_or_path": "",
44
+ "add_cross_attention": false,
45
+ "architectures": null,
46
+ "bad_words_ids": null,
47
+ "begin_suppress_tokens": null,
48
+ "bos_token_id": null,
49
+ "chunk_size_feed_forward": 0,
50
+ "cross_attention_hidden_size": null,
51
+ "decoder_start_token_id": null,
52
+ "diversity_penalty": 0.0,
53
+ "do_sample": false,
54
+ "early_stopping": false,
55
+ "encoder_no_repeat_ngram_size": 0,
56
+ "eos_token_id": null,
57
+ "exponential_decay_length_penalty": null,
58
+ "finetuning_task": null,
59
+ "forced_bos_token_id": null,
60
+ "forced_eos_token_id": null,
61
+ "hidden_size": 2560,
62
+ "id2label": {
63
+ "0": "LABEL_0",
64
+ "1": "LABEL_1"
65
+ },
66
+ "is_decoder": false,
67
+ "is_encoder_decoder": false,
68
+ "label2id": {
69
+ "LABEL_0": 0,
70
+ "LABEL_1": 1
71
+ },
72
+ "length_penalty": 1.0,
73
+ "max_length": 20,
74
+ "min_length": 0,
75
+ "mm_hidden_size": 1024,
76
+ "mm_projector_type": "mlp2x_gelu",
77
+ "model_type": "llava_phi_projector",
78
+ "no_repeat_ngram_size": 0,
79
+ "num_beam_groups": 1,
80
+ "num_beams": 1,
81
+ "num_return_sequences": 1,
82
+ "output_attentions": false,
83
+ "output_hidden_states": false,
84
+ "output_scores": false,
85
+ "pad_token_id": null,
86
+ "prefix": null,
87
+ "problem_type": null,
88
+ "pruned_heads": {},
89
+ "remove_invalid_values": false,
90
+ "repetition_penalty": 1.0,
91
+ "return_dict": true,
92
+ "return_dict_in_generate": false,
93
+ "sep_token_id": null,
94
+ "suppress_tokens": null,
95
+ "task_specific_params": null,
96
+ "temperature": 1.0,
97
+ "tf_legacy_loss": false,
98
+ "tie_encoder_decoder": false,
99
+ "tie_word_embeddings": true,
100
+ "tokenizer_class": null,
101
+ "top_k": 50,
102
+ "top_p": 1.0,
103
+ "torch_dtype": null,
104
+ "torchscript": false,
105
+ "transformers_version": "4.36.2",
106
+ "typical_p": 1.0,
107
+ "use_bfloat16": false
108
+ },
109
+ "vision_tower": {
110
+ "_name_or_path": "",
111
+ "add_cross_attention": false,
112
+ "architectures": null,
113
+ "attention_dropout": 0.0,
114
+ "bad_words_ids": null,
115
+ "begin_suppress_tokens": null,
116
+ "bos_token_id": null,
117
+ "chunk_size_feed_forward": 0,
118
+ "cross_attention_hidden_size": null,
119
+ "decoder_start_token_id": null,
120
+ "diversity_penalty": 0.0,
121
+ "do_sample": false,
122
+ "dropout": 0.0,
123
+ "early_stopping": false,
124
+ "encoder_no_repeat_ngram_size": 0,
125
+ "eos_token_id": null,
126
+ "exponential_decay_length_penalty": null,
127
+ "finetuning_task": null,
128
+ "forced_bos_token_id": null,
129
+ "forced_eos_token_id": null,
130
+ "hidden_act": "quick_gelu",
131
+ "hidden_size": 1024,
132
+ "id2label": {
133
+ "0": "LABEL_0",
134
+ "1": "LABEL_1"
135
+ },
136
+ "image_size": 336,
137
+ "initializer_factor": 1.0,
138
+ "initializer_range": 0.02,
139
+ "intermediate_size": 4096,
140
+ "is_decoder": false,
141
+ "is_encoder_decoder": false,
142
+ "label2id": {
143
+ "LABEL_0": 0,
144
+ "LABEL_1": 1
145
+ },
146
+ "layer_norm_eps": 1e-05,
147
+ "length_penalty": 1.0,
148
+ "max_length": 20,
149
+ "min_length": 0,
150
+ "mm_vision_select_feature": "patch",
151
+ "mm_vision_select_layer": -2,
152
+ "model_type": "llava_phi_clip_vision_model",
153
+ "no_repeat_ngram_size": 0,
154
+ "num_attention_heads": 16,
155
+ "num_beam_groups": 1,
156
+ "num_beams": 1,
157
+ "num_channels": 3,
158
+ "num_hidden_layers": 24,
159
+ "num_return_sequences": 1,
160
+ "output_attentions": false,
161
+ "output_hidden_states": false,
162
+ "output_scores": false,
163
+ "pad_token_id": null,
164
+ "patch_size": 14,
165
+ "prefix": null,
166
+ "problem_type": null,
167
+ "projection_dim": 768,
168
+ "pruned_heads": {},
169
+ "remove_invalid_values": false,
170
+ "repetition_penalty": 1.0,
171
+ "return_dict": true,
172
+ "return_dict_in_generate": false,
173
+ "sep_token_id": null,
174
+ "suppress_tokens": null,
175
+ "task_specific_params": null,
176
+ "temperature": 1.0,
177
+ "tf_legacy_loss": false,
178
+ "tie_encoder_decoder": false,
179
+ "tie_word_embeddings": true,
180
+ "tokenizer_class": null,
181
+ "top_k": 50,
182
+ "top_p": 1.0,
183
+ "torch_dtype": null,
184
+ "torchscript": false,
185
+ "transformers_version": "4.36.2",
186
+ "typical_p": 1.0,
187
+ "use_bfloat16": false
188
+ }
189
+ },
190
+ "vocab_size": 51200
191
+ }
generation_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "transformers_version": "4.36.2"
4
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67100e0a88a9c8e658d14509ca15c36c54e4978d2f0ebf4d975edece7dfca518
3
+ size 4982459176
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:600e8b2d6f7e8daa20ce191d73914bc0a63548b2bba8292f7b59bb8f2001e985
3
+ size 1202376104
model.safetensors.index.json ADDED
@@ -0,0 +1,727 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6184742912
4
+ },
5
+ "weight_map": {
6
+ "lm_head.bias": "model-00002-of-00002.safetensors",
7
+ "lm_head.weight": "model-00002-of-00002.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
9
+ "model.final_layernorm.bias": "model-00002-of-00002.safetensors",
10
+ "model.final_layernorm.weight": "model-00002-of-00002.safetensors",
11
+ "model.layers.0.input_layernorm.bias": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.mlp.fc1.bias": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.mlp.fc1.weight": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.mlp.fc2.bias": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.mlp.fc2.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.dense.bias": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.dense.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.0.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.input_layernorm.bias": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.mlp.fc1.bias": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.mlp.fc1.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.mlp.fc2.bias": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.mlp.fc2.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.dense.bias": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.dense.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
30
+ "model.layers.1.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.10.input_layernorm.bias": "model-00001-of-00002.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.mlp.fc1.bias": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.mlp.fc1.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.mlp.fc2.bias": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.mlp.fc2.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.self_attn.dense.bias": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.dense.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.11.input_layernorm.bias": "model-00001-of-00002.safetensors",
42
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.11.mlp.fc1.bias": "model-00001-of-00002.safetensors",
44
+ "model.layers.11.mlp.fc1.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.mlp.fc2.bias": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.mlp.fc2.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.self_attn.dense.bias": "model-00001-of-00002.safetensors",
48
+ "model.layers.11.self_attn.dense.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.11.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
50
+ "model.layers.11.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.12.input_layernorm.bias": "model-00001-of-00002.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.12.mlp.fc1.bias": "model-00001-of-00002.safetensors",
54
+ "model.layers.12.mlp.fc1.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.12.mlp.fc2.bias": "model-00001-of-00002.safetensors",
56
+ "model.layers.12.mlp.fc2.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.12.self_attn.dense.bias": "model-00001-of-00002.safetensors",
58
+ "model.layers.12.self_attn.dense.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.12.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.13.input_layernorm.bias": "model-00001-of-00002.safetensors",
62
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.13.mlp.fc1.bias": "model-00001-of-00002.safetensors",
64
+ "model.layers.13.mlp.fc1.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.13.mlp.fc2.bias": "model-00001-of-00002.safetensors",
66
+ "model.layers.13.mlp.fc2.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.13.self_attn.dense.bias": "model-00001-of-00002.safetensors",
68
+ "model.layers.13.self_attn.dense.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.14.input_layernorm.bias": "model-00001-of-00002.safetensors",
72
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.14.mlp.fc1.bias": "model-00001-of-00002.safetensors",
74
+ "model.layers.14.mlp.fc1.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.14.mlp.fc2.bias": "model-00001-of-00002.safetensors",
76
+ "model.layers.14.mlp.fc2.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.14.self_attn.dense.bias": "model-00001-of-00002.safetensors",
78
+ "model.layers.14.self_attn.dense.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.14.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
80
+ "model.layers.14.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.15.input_layernorm.bias": "model-00001-of-00002.safetensors",
82
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.15.mlp.fc1.bias": "model-00001-of-00002.safetensors",
84
+ "model.layers.15.mlp.fc1.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.15.mlp.fc2.bias": "model-00001-of-00002.safetensors",
86
+ "model.layers.15.mlp.fc2.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.15.self_attn.dense.bias": "model-00001-of-00002.safetensors",
88
+ "model.layers.15.self_attn.dense.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.15.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
90
+ "model.layers.15.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.16.input_layernorm.bias": "model-00001-of-00002.safetensors",
92
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.16.mlp.fc1.bias": "model-00001-of-00002.safetensors",
94
+ "model.layers.16.mlp.fc1.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.16.mlp.fc2.bias": "model-00001-of-00002.safetensors",
96
+ "model.layers.16.mlp.fc2.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.16.self_attn.dense.bias": "model-00001-of-00002.safetensors",
98
+ "model.layers.16.self_attn.dense.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.16.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
100
+ "model.layers.16.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.17.input_layernorm.bias": "model-00001-of-00002.safetensors",
102
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.17.mlp.fc1.bias": "model-00001-of-00002.safetensors",
104
+ "model.layers.17.mlp.fc1.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.17.mlp.fc2.bias": "model-00001-of-00002.safetensors",
106
+ "model.layers.17.mlp.fc2.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.17.self_attn.dense.bias": "model-00001-of-00002.safetensors",
108
+ "model.layers.17.self_attn.dense.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.17.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
110
+ "model.layers.17.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.18.input_layernorm.bias": "model-00001-of-00002.safetensors",
112
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.18.mlp.fc1.bias": "model-00001-of-00002.safetensors",
114
+ "model.layers.18.mlp.fc1.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.18.mlp.fc2.bias": "model-00001-of-00002.safetensors",
116
+ "model.layers.18.mlp.fc2.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.18.self_attn.dense.bias": "model-00001-of-00002.safetensors",
118
+ "model.layers.18.self_attn.dense.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.18.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
120
+ "model.layers.18.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.19.input_layernorm.bias": "model-00001-of-00002.safetensors",
122
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.19.mlp.fc1.bias": "model-00001-of-00002.safetensors",
124
+ "model.layers.19.mlp.fc1.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.19.mlp.fc2.bias": "model-00001-of-00002.safetensors",
126
+ "model.layers.19.mlp.fc2.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.19.self_attn.dense.bias": "model-00001-of-00002.safetensors",
128
+ "model.layers.19.self_attn.dense.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.19.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
130
+ "model.layers.19.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.2.input_layernorm.bias": "model-00001-of-00002.safetensors",
132
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.2.mlp.fc1.bias": "model-00001-of-00002.safetensors",
134
+ "model.layers.2.mlp.fc1.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.2.mlp.fc2.bias": "model-00001-of-00002.safetensors",
136
+ "model.layers.2.mlp.fc2.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.2.self_attn.dense.bias": "model-00001-of-00002.safetensors",
138
+ "model.layers.2.self_attn.dense.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.2.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
140
+ "model.layers.2.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.20.input_layernorm.bias": "model-00001-of-00002.safetensors",
142
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.20.mlp.fc1.bias": "model-00001-of-00002.safetensors",
144
+ "model.layers.20.mlp.fc1.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.20.mlp.fc2.bias": "model-00001-of-00002.safetensors",
146
+ "model.layers.20.mlp.fc2.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.20.self_attn.dense.bias": "model-00001-of-00002.safetensors",
148
+ "model.layers.20.self_attn.dense.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.20.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
150
+ "model.layers.20.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.21.input_layernorm.bias": "model-00001-of-00002.safetensors",
152
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.21.mlp.fc1.bias": "model-00001-of-00002.safetensors",
154
+ "model.layers.21.mlp.fc1.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.21.mlp.fc2.bias": "model-00001-of-00002.safetensors",
156
+ "model.layers.21.mlp.fc2.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.21.self_attn.dense.bias": "model-00001-of-00002.safetensors",
158
+ "model.layers.21.self_attn.dense.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.21.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
160
+ "model.layers.21.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.22.input_layernorm.bias": "model-00001-of-00002.safetensors",
162
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.22.mlp.fc1.bias": "model-00001-of-00002.safetensors",
164
+ "model.layers.22.mlp.fc1.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.22.mlp.fc2.bias": "model-00001-of-00002.safetensors",
166
+ "model.layers.22.mlp.fc2.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.22.self_attn.dense.bias": "model-00001-of-00002.safetensors",
168
+ "model.layers.22.self_attn.dense.weight": "model-00001-of-00002.safetensors",
169
+ "model.layers.22.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
170
+ "model.layers.22.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
171
+ "model.layers.23.input_layernorm.bias": "model-00001-of-00002.safetensors",
172
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.23.mlp.fc1.bias": "model-00001-of-00002.safetensors",
174
+ "model.layers.23.mlp.fc1.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.23.mlp.fc2.bias": "model-00001-of-00002.safetensors",
176
+ "model.layers.23.mlp.fc2.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.23.self_attn.dense.bias": "model-00001-of-00002.safetensors",
178
+ "model.layers.23.self_attn.dense.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.23.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
180
+ "model.layers.23.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.24.input_layernorm.bias": "model-00001-of-00002.safetensors",
182
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.24.mlp.fc1.bias": "model-00001-of-00002.safetensors",
184
+ "model.layers.24.mlp.fc1.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.24.mlp.fc2.bias": "model-00001-of-00002.safetensors",
186
+ "model.layers.24.mlp.fc2.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.24.self_attn.dense.bias": "model-00001-of-00002.safetensors",
188
+ "model.layers.24.self_attn.dense.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.24.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
190
+ "model.layers.24.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.25.input_layernorm.bias": "model-00001-of-00002.safetensors",
192
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.25.mlp.fc1.bias": "model-00001-of-00002.safetensors",
194
+ "model.layers.25.mlp.fc1.weight": "model-00001-of-00002.safetensors",
195
+ "model.layers.25.mlp.fc2.bias": "model-00001-of-00002.safetensors",
196
+ "model.layers.25.mlp.fc2.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.25.self_attn.dense.bias": "model-00001-of-00002.safetensors",
198
+ "model.layers.25.self_attn.dense.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.25.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
200
+ "model.layers.25.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.26.input_layernorm.bias": "model-00001-of-00002.safetensors",
202
+ "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.26.mlp.fc1.bias": "model-00001-of-00002.safetensors",
204
+ "model.layers.26.mlp.fc1.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.26.mlp.fc2.bias": "model-00001-of-00002.safetensors",
206
+ "model.layers.26.mlp.fc2.weight": "model-00001-of-00002.safetensors",
207
+ "model.layers.26.self_attn.dense.bias": "model-00001-of-00002.safetensors",
208
+ "model.layers.26.self_attn.dense.weight": "model-00001-of-00002.safetensors",
209
+ "model.layers.26.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
210
+ "model.layers.26.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
211
+ "model.layers.27.input_layernorm.bias": "model-00001-of-00002.safetensors",
212
+ "model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.27.mlp.fc1.bias": "model-00001-of-00002.safetensors",
214
+ "model.layers.27.mlp.fc1.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.27.mlp.fc2.bias": "model-00001-of-00002.safetensors",
216
+ "model.layers.27.mlp.fc2.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.27.self_attn.dense.bias": "model-00001-of-00002.safetensors",
218
+ "model.layers.27.self_attn.dense.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.27.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
220
+ "model.layers.27.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.28.input_layernorm.bias": "model-00001-of-00002.safetensors",
222
+ "model.layers.28.input_layernorm.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.28.mlp.fc1.bias": "model-00001-of-00002.safetensors",
224
+ "model.layers.28.mlp.fc1.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.28.mlp.fc2.bias": "model-00001-of-00002.safetensors",
226
+ "model.layers.28.mlp.fc2.weight": "model-00001-of-00002.safetensors",
227
+ "model.layers.28.self_attn.dense.bias": "model-00001-of-00002.safetensors",
228
+ "model.layers.28.self_attn.dense.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.28.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
230
+ "model.layers.28.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
231
+ "model.layers.29.input_layernorm.bias": "model-00001-of-00002.safetensors",
232
+ "model.layers.29.input_layernorm.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.29.mlp.fc1.bias": "model-00001-of-00002.safetensors",
234
+ "model.layers.29.mlp.fc1.weight": "model-00001-of-00002.safetensors",
235
+ "model.layers.29.mlp.fc2.bias": "model-00001-of-00002.safetensors",
236
+ "model.layers.29.mlp.fc2.weight": "model-00001-of-00002.safetensors",
237
+ "model.layers.29.self_attn.dense.bias": "model-00001-of-00002.safetensors",
238
+ "model.layers.29.self_attn.dense.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.29.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
240
+ "model.layers.29.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
241
+ "model.layers.3.input_layernorm.bias": "model-00001-of-00002.safetensors",
242
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
243
+ "model.layers.3.mlp.fc1.bias": "model-00001-of-00002.safetensors",
244
+ "model.layers.3.mlp.fc1.weight": "model-00001-of-00002.safetensors",
245
+ "model.layers.3.mlp.fc2.bias": "model-00001-of-00002.safetensors",
246
+ "model.layers.3.mlp.fc2.weight": "model-00001-of-00002.safetensors",
247
+ "model.layers.3.self_attn.dense.bias": "model-00001-of-00002.safetensors",
248
+ "model.layers.3.self_attn.dense.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.3.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
250
+ "model.layers.3.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.30.input_layernorm.bias": "model-00002-of-00002.safetensors",
252
+ "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
253
+ "model.layers.30.mlp.fc1.bias": "model-00002-of-00002.safetensors",
254
+ "model.layers.30.mlp.fc1.weight": "model-00002-of-00002.safetensors",
255
+ "model.layers.30.mlp.fc2.bias": "model-00002-of-00002.safetensors",
256
+ "model.layers.30.mlp.fc2.weight": "model-00002-of-00002.safetensors",
257
+ "model.layers.30.self_attn.dense.bias": "model-00002-of-00002.safetensors",
258
+ "model.layers.30.self_attn.dense.weight": "model-00002-of-00002.safetensors",
259
+ "model.layers.30.self_attn.query_key_value.bias": "model-00002-of-00002.safetensors",
260
+ "model.layers.30.self_attn.query_key_value.weight": "model-00002-of-00002.safetensors",
261
+ "model.layers.31.input_layernorm.bias": "model-00002-of-00002.safetensors",
262
+ "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
263
+ "model.layers.31.mlp.fc1.bias": "model-00002-of-00002.safetensors",
264
+ "model.layers.31.mlp.fc1.weight": "model-00002-of-00002.safetensors",
265
+ "model.layers.31.mlp.fc2.bias": "model-00002-of-00002.safetensors",
266
+ "model.layers.31.mlp.fc2.weight": "model-00002-of-00002.safetensors",
267
+ "model.layers.31.self_attn.dense.bias": "model-00002-of-00002.safetensors",
268
+ "model.layers.31.self_attn.dense.weight": "model-00002-of-00002.safetensors",
269
+ "model.layers.31.self_attn.query_key_value.bias": "model-00002-of-00002.safetensors",
270
+ "model.layers.31.self_attn.query_key_value.weight": "model-00002-of-00002.safetensors",
271
+ "model.layers.4.input_layernorm.bias": "model-00001-of-00002.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.4.mlp.fc1.bias": "model-00001-of-00002.safetensors",
274
+ "model.layers.4.mlp.fc1.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.4.mlp.fc2.bias": "model-00001-of-00002.safetensors",
276
+ "model.layers.4.mlp.fc2.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.4.self_attn.dense.bias": "model-00001-of-00002.safetensors",
278
+ "model.layers.4.self_attn.dense.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.4.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
280
+ "model.layers.4.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.5.input_layernorm.bias": "model-00001-of-00002.safetensors",
282
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.5.mlp.fc1.bias": "model-00001-of-00002.safetensors",
284
+ "model.layers.5.mlp.fc1.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.5.mlp.fc2.bias": "model-00001-of-00002.safetensors",
286
+ "model.layers.5.mlp.fc2.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.5.self_attn.dense.bias": "model-00001-of-00002.safetensors",
288
+ "model.layers.5.self_attn.dense.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.5.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
290
+ "model.layers.5.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
291
+ "model.layers.6.input_layernorm.bias": "model-00001-of-00002.safetensors",
292
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
293
+ "model.layers.6.mlp.fc1.bias": "model-00001-of-00002.safetensors",
294
+ "model.layers.6.mlp.fc1.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.6.mlp.fc2.bias": "model-00001-of-00002.safetensors",
296
+ "model.layers.6.mlp.fc2.weight": "model-00001-of-00002.safetensors",
297
+ "model.layers.6.self_attn.dense.bias": "model-00001-of-00002.safetensors",
298
+ "model.layers.6.self_attn.dense.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.6.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
300
+ "model.layers.6.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
301
+ "model.layers.7.input_layernorm.bias": "model-00001-of-00002.safetensors",
302
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
303
+ "model.layers.7.mlp.fc1.bias": "model-00001-of-00002.safetensors",
304
+ "model.layers.7.mlp.fc1.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.7.mlp.fc2.bias": "model-00001-of-00002.safetensors",
306
+ "model.layers.7.mlp.fc2.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.7.self_attn.dense.bias": "model-00001-of-00002.safetensors",
308
+ "model.layers.7.self_attn.dense.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.7.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
310
+ "model.layers.7.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.8.input_layernorm.bias": "model-00001-of-00002.safetensors",
312
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.8.mlp.fc1.bias": "model-00001-of-00002.safetensors",
314
+ "model.layers.8.mlp.fc1.weight": "model-00001-of-00002.safetensors",
315
+ "model.layers.8.mlp.fc2.bias": "model-00001-of-00002.safetensors",
316
+ "model.layers.8.mlp.fc2.weight": "model-00001-of-00002.safetensors",
317
+ "model.layers.8.self_attn.dense.bias": "model-00001-of-00002.safetensors",
318
+ "model.layers.8.self_attn.dense.weight": "model-00001-of-00002.safetensors",
319
+ "model.layers.8.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
320
+ "model.layers.8.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.9.input_layernorm.bias": "model-00001-of-00002.safetensors",
322
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
323
+ "model.layers.9.mlp.fc1.bias": "model-00001-of-00002.safetensors",
324
+ "model.layers.9.mlp.fc1.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.9.mlp.fc2.bias": "model-00001-of-00002.safetensors",
326
+ "model.layers.9.mlp.fc2.weight": "model-00001-of-00002.safetensors",
327
+ "model.layers.9.self_attn.dense.bias": "model-00001-of-00002.safetensors",
328
+ "model.layers.9.self_attn.dense.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.9.self_attn.query_key_value.bias": "model-00001-of-00002.safetensors",
330
+ "model.layers.9.self_attn.query_key_value.weight": "model-00001-of-00002.safetensors",
331
+ "model.mm_projector.0.bias": "model-00002-of-00002.safetensors",
332
+ "model.mm_projector.0.weight": "model-00002-of-00002.safetensors",
333
+ "model.mm_projector.2.bias": "model-00002-of-00002.safetensors",
334
+ "model.mm_projector.2.weight": "model-00002-of-00002.safetensors",
335
+ "model.vision_tower.vision_model.embeddings.class_embedding": "model-00002-of-00002.safetensors",
336
+ "model.vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00002-of-00002.safetensors",
337
+ "model.vision_tower.vision_model.embeddings.position_embedding.weight": "model-00002-of-00002.safetensors",
338
+ "model.vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00002-of-00002.safetensors",
339
+ "model.vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00002-of-00002.safetensors",
340
+ "model.vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00002-of-00002.safetensors",
341
+ "model.vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00002-of-00002.safetensors",
342
+ "model.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00002-of-00002.safetensors",
343
+ "model.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00002-of-00002.safetensors",
344
+ "model.vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00002-of-00002.safetensors",
345
+ "model.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00002-of-00002.safetensors",
346
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
347
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
348
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
349
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
350
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
351
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
352
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
353
+ "model.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
354
+ "model.vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00002-of-00002.safetensors",
355
+ "model.vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00002-of-00002.safetensors",
356
+ "model.vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00002-of-00002.safetensors",
357
+ "model.vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00002-of-00002.safetensors",
358
+ "model.vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00002-of-00002.safetensors",
359
+ "model.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00002-of-00002.safetensors",
360
+ "model.vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00002-of-00002.safetensors",
361
+ "model.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00002-of-00002.safetensors",
362
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
363
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
364
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
365
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
366
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
367
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
368
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
369
+ "model.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
370
+ "model.vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00002-of-00002.safetensors",
371
+ "model.vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00002-of-00002.safetensors",
372
+ "model.vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00002-of-00002.safetensors",
373
+ "model.vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00002-of-00002.safetensors",
374
+ "model.vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00002-of-00002.safetensors",
375
+ "model.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00002-of-00002.safetensors",
376
+ "model.vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00002-of-00002.safetensors",
377
+ "model.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00002-of-00002.safetensors",
378
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
379
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
380
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
381
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
382
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
383
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
384
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
385
+ "model.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
386
+ "model.vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00002-of-00002.safetensors",
387
+ "model.vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00002-of-00002.safetensors",
388
+ "model.vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00002-of-00002.safetensors",
389
+ "model.vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00002-of-00002.safetensors",
390
+ "model.vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00002-of-00002.safetensors",
391
+ "model.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00002-of-00002.safetensors",
392
+ "model.vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00002-of-00002.safetensors",
393
+ "model.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00002-of-00002.safetensors",
394
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
395
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
396
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
397
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
398
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
399
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
400
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
401
+ "model.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
402
+ "model.vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00002-of-00002.safetensors",
403
+ "model.vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00002-of-00002.safetensors",
404
+ "model.vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00002-of-00002.safetensors",
405
+ "model.vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00002-of-00002.safetensors",
406
+ "model.vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00002-of-00002.safetensors",
407
+ "model.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00002-of-00002.safetensors",
408
+ "model.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00002-of-00002.safetensors",
409
+ "model.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00002-of-00002.safetensors",
410
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
411
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
412
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
413
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
414
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
415
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
416
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
417
+ "model.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
418
+ "model.vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00002-of-00002.safetensors",
419
+ "model.vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00002-of-00002.safetensors",
420
+ "model.vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00002-of-00002.safetensors",
421
+ "model.vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00002-of-00002.safetensors",
422
+ "model.vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00002-of-00002.safetensors",
423
+ "model.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00002-of-00002.safetensors",
424
+ "model.vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00002-of-00002.safetensors",
425
+ "model.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00002-of-00002.safetensors",
426
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
427
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
428
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
429
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
430
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
431
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
432
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
433
+ "model.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
434
+ "model.vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00002-of-00002.safetensors",
435
+ "model.vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00002-of-00002.safetensors",
436
+ "model.vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00002-of-00002.safetensors",
437
+ "model.vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00002-of-00002.safetensors",
438
+ "model.vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00002-of-00002.safetensors",
439
+ "model.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00002-of-00002.safetensors",
440
+ "model.vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00002-of-00002.safetensors",
441
+ "model.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00002-of-00002.safetensors",
442
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
443
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
444
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
445
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
446
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
447
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
448
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
449
+ "model.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
450
+ "model.vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00002-of-00002.safetensors",
451
+ "model.vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00002-of-00002.safetensors",
452
+ "model.vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00002-of-00002.safetensors",
453
+ "model.vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00002-of-00002.safetensors",
454
+ "model.vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00002-of-00002.safetensors",
455
+ "model.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00002-of-00002.safetensors",
456
+ "model.vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00002-of-00002.safetensors",
457
+ "model.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00002-of-00002.safetensors",
458
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
459
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
460
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
461
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
462
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
463
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
464
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
465
+ "model.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
466
+ "model.vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00002-of-00002.safetensors",
467
+ "model.vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00002-of-00002.safetensors",
468
+ "model.vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00002-of-00002.safetensors",
469
+ "model.vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00002-of-00002.safetensors",
470
+ "model.vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00002-of-00002.safetensors",
471
+ "model.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00002-of-00002.safetensors",
472
+ "model.vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00002-of-00002.safetensors",
473
+ "model.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00002-of-00002.safetensors",
474
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
475
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
476
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
477
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
478
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
479
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
480
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
481
+ "model.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
482
+ "model.vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00002-of-00002.safetensors",
483
+ "model.vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00002-of-00002.safetensors",
484
+ "model.vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00002-of-00002.safetensors",
485
+ "model.vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00002-of-00002.safetensors",
486
+ "model.vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00002-of-00002.safetensors",
487
+ "model.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00002-of-00002.safetensors",
488
+ "model.vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00002-of-00002.safetensors",
489
+ "model.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00002-of-00002.safetensors",
490
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
491
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
492
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
493
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
494
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
495
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
496
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
497
+ "model.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
498
+ "model.vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00002-of-00002.safetensors",
499
+ "model.vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00002-of-00002.safetensors",
500
+ "model.vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00002-of-00002.safetensors",
501
+ "model.vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00002-of-00002.safetensors",
502
+ "model.vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00002-of-00002.safetensors",
503
+ "model.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00002-of-00002.safetensors",
504
+ "model.vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00002-of-00002.safetensors",
505
+ "model.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00002-of-00002.safetensors",
506
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
507
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
508
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
509
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
510
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
511
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
512
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
513
+ "model.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
514
+ "model.vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00002-of-00002.safetensors",
515
+ "model.vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00002-of-00002.safetensors",
516
+ "model.vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00002-of-00002.safetensors",
517
+ "model.vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00002-of-00002.safetensors",
518
+ "model.vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00002-of-00002.safetensors",
519
+ "model.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00002-of-00002.safetensors",
520
+ "model.vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00002-of-00002.safetensors",
521
+ "model.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00002-of-00002.safetensors",
522
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
523
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
524
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
525
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
526
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
527
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
528
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
529
+ "model.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
530
+ "model.vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00002-of-00002.safetensors",
531
+ "model.vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00002-of-00002.safetensors",
532
+ "model.vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00002-of-00002.safetensors",
533
+ "model.vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00002-of-00002.safetensors",
534
+ "model.vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00002-of-00002.safetensors",
535
+ "model.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00002-of-00002.safetensors",
536
+ "model.vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00002-of-00002.safetensors",
537
+ "model.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00002-of-00002.safetensors",
538
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
539
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
540
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
541
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
542
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
543
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
544
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
545
+ "model.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
546
+ "model.vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00002-of-00002.safetensors",
547
+ "model.vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00002-of-00002.safetensors",
548
+ "model.vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00002-of-00002.safetensors",
549
+ "model.vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00002-of-00002.safetensors",
550
+ "model.vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00002-of-00002.safetensors",
551
+ "model.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00002-of-00002.safetensors",
552
+ "model.vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00002-of-00002.safetensors",
553
+ "model.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00002-of-00002.safetensors",
554
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
555
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
556
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
557
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
558
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
559
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
560
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
561
+ "model.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
562
+ "model.vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00002-of-00002.safetensors",
563
+ "model.vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00002-of-00002.safetensors",
564
+ "model.vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00002-of-00002.safetensors",
565
+ "model.vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00002-of-00002.safetensors",
566
+ "model.vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00002-of-00002.safetensors",
567
+ "model.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00002-of-00002.safetensors",
568
+ "model.vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00002-of-00002.safetensors",
569
+ "model.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00002-of-00002.safetensors",
570
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
571
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
572
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
573
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
574
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
575
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
576
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
577
+ "model.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
578
+ "model.vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00002-of-00002.safetensors",
579
+ "model.vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00002-of-00002.safetensors",
580
+ "model.vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00002-of-00002.safetensors",
581
+ "model.vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00002-of-00002.safetensors",
582
+ "model.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00002-of-00002.safetensors",
583
+ "model.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00002-of-00002.safetensors",
584
+ "model.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00002-of-00002.safetensors",
585
+ "model.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00002-of-00002.safetensors",
586
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
587
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
588
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
589
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
590
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
591
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
592
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
593
+ "model.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
594
+ "model.vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00002-of-00002.safetensors",
595
+ "model.vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00002-of-00002.safetensors",
596
+ "model.vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00002-of-00002.safetensors",
597
+ "model.vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00002-of-00002.safetensors",
598
+ "model.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00002-of-00002.safetensors",
599
+ "model.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00002-of-00002.safetensors",
600
+ "model.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00002-of-00002.safetensors",
601
+ "model.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00002-of-00002.safetensors",
602
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
603
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
604
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
605
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
606
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
607
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
608
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
609
+ "model.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
610
+ "model.vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00002-of-00002.safetensors",
611
+ "model.vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00002-of-00002.safetensors",
612
+ "model.vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00002-of-00002.safetensors",
613
+ "model.vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00002-of-00002.safetensors",
614
+ "model.vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00002-of-00002.safetensors",
615
+ "model.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00002-of-00002.safetensors",
616
+ "model.vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00002-of-00002.safetensors",
617
+ "model.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00002-of-00002.safetensors",
618
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
619
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
620
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
621
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
622
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
623
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
624
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
625
+ "model.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
626
+ "model.vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00002-of-00002.safetensors",
627
+ "model.vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00002-of-00002.safetensors",
628
+ "model.vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00002-of-00002.safetensors",
629
+ "model.vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00002-of-00002.safetensors",
630
+ "model.vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00002-of-00002.safetensors",
631
+ "model.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00002-of-00002.safetensors",
632
+ "model.vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00002-of-00002.safetensors",
633
+ "model.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00002-of-00002.safetensors",
634
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
635
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
636
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
637
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
638
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
639
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
640
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
641
+ "model.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
642
+ "model.vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00002-of-00002.safetensors",
643
+ "model.vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00002-of-00002.safetensors",
644
+ "model.vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00002-of-00002.safetensors",
645
+ "model.vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00002-of-00002.safetensors",
646
+ "model.vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00002-of-00002.safetensors",
647
+ "model.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00002-of-00002.safetensors",
648
+ "model.vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00002-of-00002.safetensors",
649
+ "model.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00002-of-00002.safetensors",
650
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
651
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
652
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
653
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
654
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
655
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
656
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
657
+ "model.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
658
+ "model.vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00002-of-00002.safetensors",
659
+ "model.vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00002-of-00002.safetensors",
660
+ "model.vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00002-of-00002.safetensors",
661
+ "model.vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00002-of-00002.safetensors",
662
+ "model.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00002-of-00002.safetensors",
663
+ "model.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00002-of-00002.safetensors",
664
+ "model.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00002-of-00002.safetensors",
665
+ "model.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00002-of-00002.safetensors",
666
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
667
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
668
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
669
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
670
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
671
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
672
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
673
+ "model.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
674
+ "model.vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00002-of-00002.safetensors",
675
+ "model.vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00002-of-00002.safetensors",
676
+ "model.vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00002-of-00002.safetensors",
677
+ "model.vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00002-of-00002.safetensors",
678
+ "model.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00002-of-00002.safetensors",
679
+ "model.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00002-of-00002.safetensors",
680
+ "model.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00002-of-00002.safetensors",
681
+ "model.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00002-of-00002.safetensors",
682
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
683
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
684
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
685
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
686
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
687
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
688
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
689
+ "model.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
690
+ "model.vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00002-of-00002.safetensors",
691
+ "model.vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00002-of-00002.safetensors",
692
+ "model.vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00002-of-00002.safetensors",
693
+ "model.vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00002-of-00002.safetensors",
694
+ "model.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00002-of-00002.safetensors",
695
+ "model.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00002-of-00002.safetensors",
696
+ "model.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00002-of-00002.safetensors",
697
+ "model.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00002-of-00002.safetensors",
698
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
699
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
700
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
701
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
702
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
703
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
704
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
705
+ "model.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
706
+ "model.vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00002-of-00002.safetensors",
707
+ "model.vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00002-of-00002.safetensors",
708
+ "model.vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00002-of-00002.safetensors",
709
+ "model.vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00002-of-00002.safetensors",
710
+ "model.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00002-of-00002.safetensors",
711
+ "model.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00002-of-00002.safetensors",
712
+ "model.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00002-of-00002.safetensors",
713
+ "model.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00002-of-00002.safetensors",
714
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
715
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
716
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
717
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
718
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
719
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
720
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
721
+ "model.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
722
+ "model.vision_tower.vision_model.post_layernorm.bias": "model-00002-of-00002.safetensors",
723
+ "model.vision_tower.vision_model.post_layernorm.weight": "model-00002-of-00002.safetensors",
724
+ "model.vision_tower.vision_model.pre_layrnorm.bias": "model-00002-of-00002.safetensors",
725
+ "model.vision_tower.vision_model.pre_layrnorm.weight": "model-00002-of-00002.safetensors"
726
+ }
727
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": 336,
3
+ "do_center_crop": true,
4
+ "do_normalize": true,
5
+ "do_resize": true,
6
+ "feature_extractor_type": "CLIPFeatureExtractor",
7
+ "image_mean": [
8
+ 0.48145466,
9
+ 0.4578275,
10
+ 0.40821073
11
+ ],
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "resample": 3,
18
+ "size": 336
19
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,327 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "50256": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "50257": {
14
+ "content": " ",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": false
20
+ },
21
+ "50258": {
22
+ "content": " ",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": false
28
+ },
29
+ "50259": {
30
+ "content": " ",
31
+ "lstrip": false,
32
+ "normalized": true,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": false
36
+ },
37
+ "50260": {
38
+ "content": " ",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "50261": {
46
+ "content": " ",
47
+ "lstrip": false,
48
+ "normalized": true,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "50262": {
54
+ "content": " ",
55
+ "lstrip": false,
56
+ "normalized": true,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "50263": {
62
+ "content": " ",
63
+ "lstrip": false,
64
+ "normalized": true,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "50264": {
70
+ "content": " ",
71
+ "lstrip": false,
72
+ "normalized": true,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "50265": {
78
+ "content": " ",
79
+ "lstrip": false,
80
+ "normalized": true,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "50266": {
86
+ "content": " ",
87
+ "lstrip": false,
88
+ "normalized": true,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "50267": {
94
+ "content": " ",
95
+ "lstrip": false,
96
+ "normalized": true,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "50268": {
102
+ "content": " ",
103
+ "lstrip": false,
104
+ "normalized": true,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "50269": {
110
+ "content": " ",
111
+ "lstrip": false,
112
+ "normalized": true,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": false
116
+ },
117
+ "50270": {
118
+ "content": " ",
119
+ "lstrip": false,
120
+ "normalized": true,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "50271": {
126
+ "content": " ",
127
+ "lstrip": false,
128
+ "normalized": true,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "50272": {
134
+ "content": " ",
135
+ "lstrip": false,
136
+ "normalized": true,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "50273": {
142
+ "content": " ",
143
+ "lstrip": false,
144
+ "normalized": true,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "50274": {
150
+ "content": " ",
151
+ "lstrip": false,
152
+ "normalized": true,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "50275": {
158
+ "content": " ",
159
+ "lstrip": false,
160
+ "normalized": true,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "50276": {
166
+ "content": " ",
167
+ "lstrip": false,
168
+ "normalized": true,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "50277": {
174
+ "content": " ",
175
+ "lstrip": false,
176
+ "normalized": true,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "50278": {
182
+ "content": " ",
183
+ "lstrip": false,
184
+ "normalized": true,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "50279": {
190
+ "content": " ",
191
+ "lstrip": false,
192
+ "normalized": true,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "50280": {
198
+ "content": " ",
199
+ "lstrip": false,
200
+ "normalized": true,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "50281": {
206
+ "content": " ",
207
+ "lstrip": false,
208
+ "normalized": true,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "50282": {
214
+ "content": " ",
215
+ "lstrip": false,
216
+ "normalized": true,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "50283": {
222
+ "content": " ",
223
+ "lstrip": false,
224
+ "normalized": true,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "50284": {
230
+ "content": " ",
231
+ "lstrip": false,
232
+ "normalized": true,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "50285": {
238
+ "content": " ",
239
+ "lstrip": false,
240
+ "normalized": true,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "50286": {
246
+ "content": " ",
247
+ "lstrip": false,
248
+ "normalized": true,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "50287": {
254
+ "content": "\t\t\t\t\t\t\t\t\t",
255
+ "lstrip": false,
256
+ "normalized": true,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "50288": {
262
+ "content": "\t\t\t\t\t\t\t\t",
263
+ "lstrip": false,
264
+ "normalized": true,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "50289": {
270
+ "content": "\t\t\t\t\t\t\t",
271
+ "lstrip": false,
272
+ "normalized": true,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "50290": {
278
+ "content": "\t\t\t\t\t\t",
279
+ "lstrip": false,
280
+ "normalized": true,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "50291": {
286
+ "content": "\t\t\t\t\t",
287
+ "lstrip": false,
288
+ "normalized": true,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "50292": {
294
+ "content": "\t\t\t\t",
295
+ "lstrip": false,
296
+ "normalized": true,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "50293": {
302
+ "content": "\t\t\t",
303
+ "lstrip": false,
304
+ "normalized": true,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "50294": {
310
+ "content": "\t\t",
311
+ "lstrip": false,
312
+ "normalized": true,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ }
317
+ },
318
+ "bos_token": "<|endoftext|>",
319
+ "clean_up_tokenization_spaces": true,
320
+ "eos_token": "<|endoftext|>",
321
+ "errors": "replace",
322
+ "model_max_length": 2048,
323
+ "pad_token": "<|endoftext|>",
324
+ "padding_side": "right",
325
+ "tokenizer_class": "CodeGenTokenizer",
326
+ "unk_token": "<|endoftext|>"
327
+ }
trainer_state.json ADDED
@@ -0,0 +1,1920 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 315,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 2.0000000000000003e-06,
14
+ "loss": 3.1016,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.02,
19
+ "learning_rate": 4.000000000000001e-06,
20
+ "loss": 3.1211,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.03,
25
+ "learning_rate": 6e-06,
26
+ "loss": 3.2852,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.04,
31
+ "learning_rate": 8.000000000000001e-06,
32
+ "loss": 3.0801,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.05,
37
+ "learning_rate": 1e-05,
38
+ "loss": 2.9102,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.06,
43
+ "learning_rate": 1.2e-05,
44
+ "loss": 2.7852,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.07,
49
+ "learning_rate": 1.4e-05,
50
+ "loss": 2.7852,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.08,
55
+ "learning_rate": 1.6000000000000003e-05,
56
+ "loss": 2.9199,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.09,
61
+ "learning_rate": 1.8e-05,
62
+ "loss": 2.7734,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.1,
67
+ "learning_rate": 2e-05,
68
+ "loss": 2.8418,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.1,
73
+ "learning_rate": 1.9999469523400122e-05,
74
+ "loss": 2.7402,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.11,
79
+ "learning_rate": 1.9997878149881576e-05,
80
+ "loss": 2.834,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.12,
85
+ "learning_rate": 1.999522604828164e-05,
86
+ "loss": 2.7441,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.13,
91
+ "learning_rate": 1.9991513499975883e-05,
92
+ "loss": 2.8438,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.14,
97
+ "learning_rate": 1.9986740898848306e-05,
98
+ "loss": 2.7539,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.15,
103
+ "learning_rate": 1.9980908751249556e-05,
104
+ "loss": 2.582,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.16,
109
+ "learning_rate": 1.997401767594319e-05,
110
+ "loss": 2.6973,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.17,
115
+ "learning_rate": 1.996606840404006e-05,
116
+ "loss": 2.7734,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.18,
121
+ "learning_rate": 1.9957061778920703e-05,
122
+ "loss": 2.7227,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.19,
127
+ "learning_rate": 1.9946998756145894e-05,
128
+ "loss": 2.6445,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.2,
133
+ "learning_rate": 1.9935880403355255e-05,
134
+ "loss": 2.4629,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.21,
139
+ "learning_rate": 1.9923707900153984e-05,
140
+ "loss": 2.6074,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.22,
145
+ "learning_rate": 1.9910482537987704e-05,
146
+ "loss": 2.6328,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.23,
151
+ "learning_rate": 1.989620572000544e-05,
152
+ "loss": 2.6055,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.24,
157
+ "learning_rate": 1.9880878960910772e-05,
158
+ "loss": 2.7031,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.25,
163
+ "learning_rate": 1.9864503886801108e-05,
164
+ "loss": 2.6191,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.26,
169
+ "learning_rate": 1.9847082234995172e-05,
170
+ "loss": 2.5859,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.27,
175
+ "learning_rate": 1.982861585384869e-05,
176
+ "loss": 2.5078,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.28,
181
+ "learning_rate": 1.9809106702558277e-05,
182
+ "loss": 2.4648,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.29,
187
+ "learning_rate": 1.978855685095358e-05,
188
+ "loss": 2.5371,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.3,
193
+ "learning_rate": 1.9766968479277684e-05,
194
+ "loss": 2.6172,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 0.3,
199
+ "learning_rate": 1.974434387795579e-05,
200
+ "loss": 2.5449,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 0.31,
205
+ "learning_rate": 1.972068544735221e-05,
206
+ "loss": 2.3799,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 0.32,
211
+ "learning_rate": 1.969599569751571e-05,
212
+ "loss": 2.2725,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 0.33,
217
+ "learning_rate": 1.9670277247913205e-05,
218
+ "loss": 2.4512,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 0.34,
223
+ "learning_rate": 1.964353282715183e-05,
224
+ "loss": 2.4785,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 0.35,
229
+ "learning_rate": 1.961576527268946e-05,
230
+ "loss": 2.3672,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 0.36,
235
+ "learning_rate": 1.9586977530533677e-05,
236
+ "loss": 2.375,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 0.37,
241
+ "learning_rate": 1.95571726549292e-05,
242
+ "loss": 2.3008,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 0.38,
247
+ "learning_rate": 1.9526353808033827e-05,
248
+ "loss": 2.4326,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 0.39,
253
+ "learning_rate": 1.9494524259582994e-05,
254
+ "loss": 2.4062,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 0.4,
259
+ "learning_rate": 1.9461687386542826e-05,
260
+ "loss": 2.4414,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 0.41,
265
+ "learning_rate": 1.9427846672751873e-05,
266
+ "loss": 2.3223,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 0.42,
271
+ "learning_rate": 1.93930057085515e-05,
272
+ "loss": 2.2812,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 0.43,
277
+ "learning_rate": 1.9357168190404937e-05,
278
+ "loss": 2.167,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 0.44,
283
+ "learning_rate": 1.932033792050515e-05,
284
+ "loss": 2.4902,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 0.45,
289
+ "learning_rate": 1.928251880637141e-05,
290
+ "loss": 2.4883,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 0.46,
295
+ "learning_rate": 1.924371486043473e-05,
296
+ "loss": 2.3662,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 0.47,
301
+ "learning_rate": 1.920393019961217e-05,
302
+ "loss": 2.3066,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 0.48,
307
+ "learning_rate": 1.916316904487005e-05,
308
+ "loss": 2.2275,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 0.49,
313
+ "learning_rate": 1.9121435720776122e-05,
314
+ "loss": 2.2197,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 0.5,
319
+ "learning_rate": 1.9078734655040763e-05,
320
+ "loss": 2.3467,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 0.5,
325
+ "learning_rate": 1.9035070378047204e-05,
326
+ "loss": 2.1914,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 0.51,
331
+ "learning_rate": 1.8990447522370886e-05,
332
+ "loss": 2.3965,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 0.52,
337
+ "learning_rate": 1.8944870822287957e-05,
338
+ "loss": 2.4883,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 0.53,
343
+ "learning_rate": 1.8898345113273e-05,
344
+ "loss": 2.3955,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 0.54,
349
+ "learning_rate": 1.8850875331485996e-05,
350
+ "loss": 2.5859,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 0.55,
355
+ "learning_rate": 1.8802466513248635e-05,
356
+ "loss": 2.2754,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 0.56,
361
+ "learning_rate": 1.8753123794509974e-05,
362
+ "loss": 2.2451,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 0.57,
367
+ "learning_rate": 1.8702852410301556e-05,
368
+ "loss": 2.3584,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 0.58,
373
+ "learning_rate": 1.865165769418196e-05,
374
+ "loss": 2.3281,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 0.59,
379
+ "learning_rate": 1.8599545077670983e-05,
380
+ "loss": 2.2256,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 0.6,
385
+ "learning_rate": 1.854652008967335e-05,
386
+ "loss": 2.3828,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 0.61,
391
+ "learning_rate": 1.8492588355892125e-05,
392
+ "loss": 2.126,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 0.62,
397
+ "learning_rate": 1.8437755598231857e-05,
398
+ "loss": 2.3516,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 0.63,
403
+ "learning_rate": 1.8382027634191523e-05,
404
+ "loss": 2.1816,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 0.64,
409
+ "learning_rate": 1.8325410376247295e-05,
410
+ "loss": 2.29,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 0.65,
415
+ "learning_rate": 1.826790983122527e-05,
416
+ "loss": 2.2529,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 0.66,
421
+ "learning_rate": 1.8209532099664177e-05,
422
+ "loss": 1.96,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 0.67,
427
+ "learning_rate": 1.8150283375168112e-05,
428
+ "loss": 2.0742,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 0.68,
433
+ "learning_rate": 1.8090169943749477e-05,
434
+ "loss": 2.2773,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 0.69,
439
+ "learning_rate": 1.8029198183162e-05,
440
+ "loss": 2.3135,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 0.7,
445
+ "learning_rate": 1.796737456222413e-05,
446
+ "loss": 2.4082,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 0.7,
451
+ "learning_rate": 1.7904705640132717e-05,
452
+ "loss": 2.3262,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 0.71,
457
+ "learning_rate": 1.7841198065767107e-05,
458
+ "loss": 2.1162,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 0.72,
463
+ "learning_rate": 1.7776858576983713e-05,
464
+ "loss": 2.2832,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 0.73,
469
+ "learning_rate": 1.771169399990119e-05,
470
+ "loss": 2.125,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 0.74,
475
+ "learning_rate": 1.7645711248176198e-05,
476
+ "loss": 2.1611,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 0.75,
481
+ "learning_rate": 1.7578917322269885e-05,
482
+ "loss": 2.1689,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 0.76,
487
+ "learning_rate": 1.7511319308705198e-05,
488
+ "loss": 2.1641,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 0.77,
493
+ "learning_rate": 1.744292437931502e-05,
494
+ "loss": 2.2217,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 0.78,
499
+ "learning_rate": 1.7373739790481263e-05,
500
+ "loss": 2.2656,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 0.79,
505
+ "learning_rate": 1.7303772882365018e-05,
506
+ "loss": 2.0977,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 0.8,
511
+ "learning_rate": 1.723303107812779e-05,
512
+ "loss": 2.1602,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 0.81,
517
+ "learning_rate": 1.7161521883143936e-05,
518
+ "loss": 2.1045,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 0.82,
523
+ "learning_rate": 1.7089252884204376e-05,
524
+ "loss": 2.2949,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 0.83,
529
+ "learning_rate": 1.701623174871168e-05,
530
+ "loss": 2.124,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 0.84,
535
+ "learning_rate": 1.6942466223866582e-05,
536
+ "loss": 2.2051,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 0.85,
541
+ "learning_rate": 1.6867964135846043e-05,
542
+ "loss": 2.0146,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 0.86,
547
+ "learning_rate": 1.679273338897293e-05,
548
+ "loss": 2.1816,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 0.87,
553
+ "learning_rate": 1.6716781964877413e-05,
554
+ "loss": 2.2002,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 0.88,
559
+ "learning_rate": 1.664011792165012e-05,
560
+ "loss": 2.0781,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 0.89,
565
+ "learning_rate": 1.6562749392987255e-05,
566
+ "loss": 2.2031,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 0.9,
571
+ "learning_rate": 1.648468458732762e-05,
572
+ "loss": 2.1719,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 0.9,
577
+ "learning_rate": 1.6405931786981753e-05,
578
+ "loss": 2.2246,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 0.91,
583
+ "learning_rate": 1.6326499347253206e-05,
584
+ "loss": 2.2852,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 0.92,
589
+ "learning_rate": 1.6246395695552086e-05,
590
+ "loss": 2.1357,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 0.93,
595
+ "learning_rate": 1.6165629330500952e-05,
596
+ "loss": 2.2148,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 0.94,
601
+ "learning_rate": 1.6084208821033152e-05,
602
+ "loss": 2.0781,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 0.95,
607
+ "learning_rate": 1.6002142805483686e-05,
608
+ "loss": 2.2197,
609
+ "step": 100
610
+ },
611
+ {
612
+ "epoch": 0.96,
613
+ "learning_rate": 1.591943999067273e-05,
614
+ "loss": 2.0957,
615
+ "step": 101
616
+ },
617
+ {
618
+ "epoch": 0.97,
619
+ "learning_rate": 1.5836109150981885e-05,
620
+ "loss": 2.0645,
621
+ "step": 102
622
+ },
623
+ {
624
+ "epoch": 0.98,
625
+ "learning_rate": 1.5752159127423262e-05,
626
+ "loss": 2.4609,
627
+ "step": 103
628
+ },
629
+ {
630
+ "epoch": 0.99,
631
+ "learning_rate": 1.5667598826701463e-05,
632
+ "loss": 2.3008,
633
+ "step": 104
634
+ },
635
+ {
636
+ "epoch": 1.0,
637
+ "learning_rate": 1.5582437220268648e-05,
638
+ "loss": 2.0254,
639
+ "step": 105
640
+ },
641
+ {
642
+ "epoch": 1.01,
643
+ "learning_rate": 1.549668334337271e-05,
644
+ "loss": 2.0322,
645
+ "step": 106
646
+ },
647
+ {
648
+ "epoch": 1.02,
649
+ "learning_rate": 1.541034629409865e-05,
650
+ "loss": 1.9941,
651
+ "step": 107
652
+ },
653
+ {
654
+ "epoch": 1.03,
655
+ "learning_rate": 1.532343523240334e-05,
656
+ "loss": 1.9033,
657
+ "step": 108
658
+ },
659
+ {
660
+ "epoch": 1.04,
661
+ "learning_rate": 1.523595937914368e-05,
662
+ "loss": 1.8633,
663
+ "step": 109
664
+ },
665
+ {
666
+ "epoch": 1.05,
667
+ "learning_rate": 1.5147928015098309e-05,
668
+ "loss": 2.043,
669
+ "step": 110
670
+ },
671
+ {
672
+ "epoch": 1.06,
673
+ "learning_rate": 1.5059350479982966e-05,
674
+ "loss": 2.0029,
675
+ "step": 111
676
+ },
677
+ {
678
+ "epoch": 1.07,
679
+ "learning_rate": 1.497023617145958e-05,
680
+ "loss": 1.9092,
681
+ "step": 112
682
+ },
683
+ {
684
+ "epoch": 1.08,
685
+ "learning_rate": 1.488059454413923e-05,
686
+ "loss": 1.8877,
687
+ "step": 113
688
+ },
689
+ {
690
+ "epoch": 1.09,
691
+ "learning_rate": 1.4790435108579048e-05,
692
+ "loss": 2.0322,
693
+ "step": 114
694
+ },
695
+ {
696
+ "epoch": 1.1,
697
+ "learning_rate": 1.4699767430273202e-05,
698
+ "loss": 1.9189,
699
+ "step": 115
700
+ },
701
+ {
702
+ "epoch": 1.1,
703
+ "learning_rate": 1.4608601128638027e-05,
704
+ "loss": 1.8535,
705
+ "step": 116
706
+ },
707
+ {
708
+ "epoch": 1.11,
709
+ "learning_rate": 1.4516945875991472e-05,
710
+ "loss": 1.8447,
711
+ "step": 117
712
+ },
713
+ {
714
+ "epoch": 1.12,
715
+ "learning_rate": 1.4424811396526892e-05,
716
+ "loss": 1.916,
717
+ "step": 118
718
+ },
719
+ {
720
+ "epoch": 1.13,
721
+ "learning_rate": 1.4332207465281365e-05,
722
+ "loss": 1.8838,
723
+ "step": 119
724
+ },
725
+ {
726
+ "epoch": 1.14,
727
+ "learning_rate": 1.423914390709861e-05,
728
+ "loss": 2.0352,
729
+ "step": 120
730
+ },
731
+ {
732
+ "epoch": 1.15,
733
+ "learning_rate": 1.4145630595586607e-05,
734
+ "loss": 1.9609,
735
+ "step": 121
736
+ },
737
+ {
738
+ "epoch": 1.16,
739
+ "learning_rate": 1.4051677452070064e-05,
740
+ "loss": 2.0049,
741
+ "step": 122
742
+ },
743
+ {
744
+ "epoch": 1.17,
745
+ "learning_rate": 1.3957294444537808e-05,
746
+ "loss": 1.8584,
747
+ "step": 123
748
+ },
749
+ {
750
+ "epoch": 1.18,
751
+ "learning_rate": 1.386249158658522e-05,
752
+ "loss": 1.7842,
753
+ "step": 124
754
+ },
755
+ {
756
+ "epoch": 1.19,
757
+ "learning_rate": 1.3767278936351853e-05,
758
+ "loss": 1.9111,
759
+ "step": 125
760
+ },
761
+ {
762
+ "epoch": 1.2,
763
+ "learning_rate": 1.3671666595454296e-05,
764
+ "loss": 1.8887,
765
+ "step": 126
766
+ },
767
+ {
768
+ "epoch": 1.21,
769
+ "learning_rate": 1.357566470791445e-05,
770
+ "loss": 1.917,
771
+ "step": 127
772
+ },
773
+ {
774
+ "epoch": 1.22,
775
+ "learning_rate": 1.347928345908329e-05,
776
+ "loss": 1.959,
777
+ "step": 128
778
+ },
779
+ {
780
+ "epoch": 1.23,
781
+ "learning_rate": 1.3382533074560256e-05,
782
+ "loss": 1.8545,
783
+ "step": 129
784
+ },
785
+ {
786
+ "epoch": 1.24,
787
+ "learning_rate": 1.3285423819108349e-05,
788
+ "loss": 2.0332,
789
+ "step": 130
790
+ },
791
+ {
792
+ "epoch": 1.25,
793
+ "learning_rate": 1.3187965995565098e-05,
794
+ "loss": 2.0068,
795
+ "step": 131
796
+ },
797
+ {
798
+ "epoch": 1.26,
799
+ "learning_rate": 1.3090169943749475e-05,
800
+ "loss": 2.0713,
801
+ "step": 132
802
+ },
803
+ {
804
+ "epoch": 1.27,
805
+ "learning_rate": 1.2992046039364893e-05,
806
+ "loss": 1.8516,
807
+ "step": 133
808
+ },
809
+ {
810
+ "epoch": 1.28,
811
+ "learning_rate": 1.2893604692898381e-05,
812
+ "loss": 1.8965,
813
+ "step": 134
814
+ },
815
+ {
816
+ "epoch": 1.29,
817
+ "learning_rate": 1.2794856348516095e-05,
818
+ "loss": 1.9531,
819
+ "step": 135
820
+ },
821
+ {
822
+ "epoch": 1.3,
823
+ "learning_rate": 1.2695811482955227e-05,
824
+ "loss": 1.8584,
825
+ "step": 136
826
+ },
827
+ {
828
+ "epoch": 1.3,
829
+ "learning_rate": 1.2596480604412485e-05,
830
+ "loss": 1.873,
831
+ "step": 137
832
+ },
833
+ {
834
+ "epoch": 1.31,
835
+ "learning_rate": 1.24968742514292e-05,
836
+ "loss": 2.0059,
837
+ "step": 138
838
+ },
839
+ {
840
+ "epoch": 1.32,
841
+ "learning_rate": 1.2397002991773277e-05,
842
+ "loss": 1.9492,
843
+ "step": 139
844
+ },
845
+ {
846
+ "epoch": 1.33,
847
+ "learning_rate": 1.2296877421317958e-05,
848
+ "loss": 2.0479,
849
+ "step": 140
850
+ },
851
+ {
852
+ "epoch": 1.34,
853
+ "learning_rate": 1.2196508162917678e-05,
854
+ "loss": 1.8369,
855
+ "step": 141
856
+ },
857
+ {
858
+ "epoch": 1.35,
859
+ "learning_rate": 1.2095905865281026e-05,
860
+ "loss": 2.0,
861
+ "step": 142
862
+ },
863
+ {
864
+ "epoch": 1.36,
865
+ "learning_rate": 1.1995081201840958e-05,
866
+ "loss": 1.8086,
867
+ "step": 143
868
+ },
869
+ {
870
+ "epoch": 1.37,
871
+ "learning_rate": 1.1894044869622403e-05,
872
+ "loss": 1.9092,
873
+ "step": 144
874
+ },
875
+ {
876
+ "epoch": 1.38,
877
+ "learning_rate": 1.1792807588107358e-05,
878
+ "loss": 1.8643,
879
+ "step": 145
880
+ },
881
+ {
882
+ "epoch": 1.39,
883
+ "learning_rate": 1.1691380098097598e-05,
884
+ "loss": 1.9043,
885
+ "step": 146
886
+ },
887
+ {
888
+ "epoch": 1.4,
889
+ "learning_rate": 1.158977316057513e-05,
890
+ "loss": 1.8506,
891
+ "step": 147
892
+ },
893
+ {
894
+ "epoch": 1.41,
895
+ "learning_rate": 1.1487997555560503e-05,
896
+ "loss": 1.7197,
897
+ "step": 148
898
+ },
899
+ {
900
+ "epoch": 1.42,
901
+ "learning_rate": 1.1386064080969095e-05,
902
+ "loss": 1.9434,
903
+ "step": 149
904
+ },
905
+ {
906
+ "epoch": 1.43,
907
+ "learning_rate": 1.1283983551465512e-05,
908
+ "loss": 1.9307,
909
+ "step": 150
910
+ },
911
+ {
912
+ "epoch": 1.44,
913
+ "learning_rate": 1.118176679731619e-05,
914
+ "loss": 1.915,
915
+ "step": 151
916
+ },
917
+ {
918
+ "epoch": 1.45,
919
+ "learning_rate": 1.1079424663240372e-05,
920
+ "loss": 1.8701,
921
+ "step": 152
922
+ },
923
+ {
924
+ "epoch": 1.46,
925
+ "learning_rate": 1.0976968007259519e-05,
926
+ "loss": 1.9004,
927
+ "step": 153
928
+ },
929
+ {
930
+ "epoch": 1.47,
931
+ "learning_rate": 1.0874407699545329e-05,
932
+ "loss": 1.9346,
933
+ "step": 154
934
+ },
935
+ {
936
+ "epoch": 1.48,
937
+ "learning_rate": 1.0771754621266466e-05,
938
+ "loss": 1.9727,
939
+ "step": 155
940
+ },
941
+ {
942
+ "epoch": 1.49,
943
+ "learning_rate": 1.0669019663434117e-05,
944
+ "loss": 2.0176,
945
+ "step": 156
946
+ },
947
+ {
948
+ "epoch": 1.5,
949
+ "learning_rate": 1.0566213725746506e-05,
950
+ "loss": 1.9346,
951
+ "step": 157
952
+ },
953
+ {
954
+ "epoch": 1.5,
955
+ "learning_rate": 1.0463347715432488e-05,
956
+ "loss": 1.8779,
957
+ "step": 158
958
+ },
959
+ {
960
+ "epoch": 1.51,
961
+ "learning_rate": 1.0360432546094341e-05,
962
+ "loss": 1.8389,
963
+ "step": 159
964
+ },
965
+ {
966
+ "epoch": 1.52,
967
+ "learning_rate": 1.0257479136549889e-05,
968
+ "loss": 2.0264,
969
+ "step": 160
970
+ },
971
+ {
972
+ "epoch": 1.53,
973
+ "learning_rate": 1.0154498409674051e-05,
974
+ "loss": 1.9092,
975
+ "step": 161
976
+ },
977
+ {
978
+ "epoch": 1.54,
979
+ "learning_rate": 1.0051501291240008e-05,
980
+ "loss": 1.9785,
981
+ "step": 162
982
+ },
983
+ {
984
+ "epoch": 1.55,
985
+ "learning_rate": 9.948498708759993e-06,
986
+ "loss": 1.8594,
987
+ "step": 163
988
+ },
989
+ {
990
+ "epoch": 1.56,
991
+ "learning_rate": 9.845501590325949e-06,
992
+ "loss": 1.9746,
993
+ "step": 164
994
+ },
995
+ {
996
+ "epoch": 1.57,
997
+ "learning_rate": 9.742520863450116e-06,
998
+ "loss": 1.9082,
999
+ "step": 165
1000
+ },
1001
+ {
1002
+ "epoch": 1.58,
1003
+ "learning_rate": 9.639567453905662e-06,
1004
+ "loss": 1.9717,
1005
+ "step": 166
1006
+ },
1007
+ {
1008
+ "epoch": 1.59,
1009
+ "learning_rate": 9.536652284567514e-06,
1010
+ "loss": 1.8242,
1011
+ "step": 167
1012
+ },
1013
+ {
1014
+ "epoch": 1.6,
1015
+ "learning_rate": 9.433786274253496e-06,
1016
+ "loss": 1.8867,
1017
+ "step": 168
1018
+ },
1019
+ {
1020
+ "epoch": 1.61,
1021
+ "learning_rate": 9.330980336565887e-06,
1022
+ "loss": 1.9629,
1023
+ "step": 169
1024
+ },
1025
+ {
1026
+ "epoch": 1.62,
1027
+ "learning_rate": 9.228245378733537e-06,
1028
+ "loss": 1.8652,
1029
+ "step": 170
1030
+ },
1031
+ {
1032
+ "epoch": 1.63,
1033
+ "learning_rate": 9.125592300454675e-06,
1034
+ "loss": 1.7227,
1035
+ "step": 171
1036
+ },
1037
+ {
1038
+ "epoch": 1.64,
1039
+ "learning_rate": 9.023031992740488e-06,
1040
+ "loss": 1.8809,
1041
+ "step": 172
1042
+ },
1043
+ {
1044
+ "epoch": 1.65,
1045
+ "learning_rate": 8.92057533675963e-06,
1046
+ "loss": 2.0039,
1047
+ "step": 173
1048
+ },
1049
+ {
1050
+ "epoch": 1.66,
1051
+ "learning_rate": 8.818233202683815e-06,
1052
+ "loss": 1.9102,
1053
+ "step": 174
1054
+ },
1055
+ {
1056
+ "epoch": 1.67,
1057
+ "learning_rate": 8.71601644853449e-06,
1058
+ "loss": 2.0049,
1059
+ "step": 175
1060
+ },
1061
+ {
1062
+ "epoch": 1.68,
1063
+ "learning_rate": 8.613935919030908e-06,
1064
+ "loss": 1.9795,
1065
+ "step": 176
1066
+ },
1067
+ {
1068
+ "epoch": 1.69,
1069
+ "learning_rate": 8.512002444439502e-06,
1070
+ "loss": 1.8223,
1071
+ "step": 177
1072
+ },
1073
+ {
1074
+ "epoch": 1.7,
1075
+ "learning_rate": 8.410226839424871e-06,
1076
+ "loss": 1.9092,
1077
+ "step": 178
1078
+ },
1079
+ {
1080
+ "epoch": 1.7,
1081
+ "learning_rate": 8.308619901902406e-06,
1082
+ "loss": 1.8193,
1083
+ "step": 179
1084
+ },
1085
+ {
1086
+ "epoch": 1.71,
1087
+ "learning_rate": 8.207192411892645e-06,
1088
+ "loss": 1.7246,
1089
+ "step": 180
1090
+ },
1091
+ {
1092
+ "epoch": 1.72,
1093
+ "learning_rate": 8.1059551303776e-06,
1094
+ "loss": 1.7344,
1095
+ "step": 181
1096
+ },
1097
+ {
1098
+ "epoch": 1.73,
1099
+ "learning_rate": 8.004918798159046e-06,
1100
+ "loss": 1.957,
1101
+ "step": 182
1102
+ },
1103
+ {
1104
+ "epoch": 1.74,
1105
+ "learning_rate": 7.904094134718975e-06,
1106
+ "loss": 1.8555,
1107
+ "step": 183
1108
+ },
1109
+ {
1110
+ "epoch": 1.75,
1111
+ "learning_rate": 7.803491837082324e-06,
1112
+ "loss": 1.8994,
1113
+ "step": 184
1114
+ },
1115
+ {
1116
+ "epoch": 1.76,
1117
+ "learning_rate": 7.703122578682047e-06,
1118
+ "loss": 1.9053,
1119
+ "step": 185
1120
+ },
1121
+ {
1122
+ "epoch": 1.77,
1123
+ "learning_rate": 7.602997008226725e-06,
1124
+ "loss": 1.8857,
1125
+ "step": 186
1126
+ },
1127
+ {
1128
+ "epoch": 1.78,
1129
+ "learning_rate": 7.503125748570801e-06,
1130
+ "loss": 1.8555,
1131
+ "step": 187
1132
+ },
1133
+ {
1134
+ "epoch": 1.79,
1135
+ "learning_rate": 7.403519395587522e-06,
1136
+ "loss": 1.8174,
1137
+ "step": 188
1138
+ },
1139
+ {
1140
+ "epoch": 1.8,
1141
+ "learning_rate": 7.304188517044774e-06,
1142
+ "loss": 1.8281,
1143
+ "step": 189
1144
+ },
1145
+ {
1146
+ "epoch": 1.81,
1147
+ "learning_rate": 7.2051436514839064e-06,
1148
+ "loss": 1.7969,
1149
+ "step": 190
1150
+ },
1151
+ {
1152
+ "epoch": 1.82,
1153
+ "learning_rate": 7.106395307101621e-06,
1154
+ "loss": 2.0137,
1155
+ "step": 191
1156
+ },
1157
+ {
1158
+ "epoch": 1.83,
1159
+ "learning_rate": 7.007953960635109e-06,
1160
+ "loss": 1.8184,
1161
+ "step": 192
1162
+ },
1163
+ {
1164
+ "epoch": 1.84,
1165
+ "learning_rate": 6.909830056250527e-06,
1166
+ "loss": 2.0029,
1167
+ "step": 193
1168
+ },
1169
+ {
1170
+ "epoch": 1.85,
1171
+ "learning_rate": 6.812034004434904e-06,
1172
+ "loss": 1.8242,
1173
+ "step": 194
1174
+ },
1175
+ {
1176
+ "epoch": 1.86,
1177
+ "learning_rate": 6.714576180891653e-06,
1178
+ "loss": 1.9043,
1179
+ "step": 195
1180
+ },
1181
+ {
1182
+ "epoch": 1.87,
1183
+ "learning_rate": 6.617466925439746e-06,
1184
+ "loss": 1.9297,
1185
+ "step": 196
1186
+ },
1187
+ {
1188
+ "epoch": 1.88,
1189
+ "learning_rate": 6.520716540916709e-06,
1190
+ "loss": 1.8525,
1191
+ "step": 197
1192
+ },
1193
+ {
1194
+ "epoch": 1.89,
1195
+ "learning_rate": 6.424335292085553e-06,
1196
+ "loss": 1.8643,
1197
+ "step": 198
1198
+ },
1199
+ {
1200
+ "epoch": 1.9,
1201
+ "learning_rate": 6.32833340454571e-06,
1202
+ "loss": 1.915,
1203
+ "step": 199
1204
+ },
1205
+ {
1206
+ "epoch": 1.9,
1207
+ "learning_rate": 6.232721063648148e-06,
1208
+ "loss": 1.8682,
1209
+ "step": 200
1210
+ },
1211
+ {
1212
+ "epoch": 1.91,
1213
+ "learning_rate": 6.137508413414784e-06,
1214
+ "loss": 1.7812,
1215
+ "step": 201
1216
+ },
1217
+ {
1218
+ "epoch": 1.92,
1219
+ "learning_rate": 6.042705555462192e-06,
1220
+ "loss": 1.8555,
1221
+ "step": 202
1222
+ },
1223
+ {
1224
+ "epoch": 1.93,
1225
+ "learning_rate": 5.948322547929939e-06,
1226
+ "loss": 1.8301,
1227
+ "step": 203
1228
+ },
1229
+ {
1230
+ "epoch": 1.94,
1231
+ "learning_rate": 5.8543694044133984e-06,
1232
+ "loss": 1.8125,
1233
+ "step": 204
1234
+ },
1235
+ {
1236
+ "epoch": 1.95,
1237
+ "learning_rate": 5.760856092901394e-06,
1238
+ "loss": 1.8857,
1239
+ "step": 205
1240
+ },
1241
+ {
1242
+ "epoch": 1.96,
1243
+ "learning_rate": 5.667792534718639e-06,
1244
+ "loss": 1.7637,
1245
+ "step": 206
1246
+ },
1247
+ {
1248
+ "epoch": 1.97,
1249
+ "learning_rate": 5.575188603473112e-06,
1250
+ "loss": 1.8281,
1251
+ "step": 207
1252
+ },
1253
+ {
1254
+ "epoch": 1.98,
1255
+ "learning_rate": 5.483054124008528e-06,
1256
+ "loss": 1.7715,
1257
+ "step": 208
1258
+ },
1259
+ {
1260
+ "epoch": 1.99,
1261
+ "learning_rate": 5.391398871361972e-06,
1262
+ "loss": 1.8154,
1263
+ "step": 209
1264
+ },
1265
+ {
1266
+ "epoch": 2.0,
1267
+ "learning_rate": 5.300232569726805e-06,
1268
+ "loss": 1.8232,
1269
+ "step": 210
1270
+ },
1271
+ {
1272
+ "epoch": 2.01,
1273
+ "learning_rate": 5.209564891420953e-06,
1274
+ "loss": 1.5811,
1275
+ "step": 211
1276
+ },
1277
+ {
1278
+ "epoch": 2.02,
1279
+ "learning_rate": 5.119405455860772e-06,
1280
+ "loss": 1.7432,
1281
+ "step": 212
1282
+ },
1283
+ {
1284
+ "epoch": 2.03,
1285
+ "learning_rate": 5.029763828540419e-06,
1286
+ "loss": 1.7061,
1287
+ "step": 213
1288
+ },
1289
+ {
1290
+ "epoch": 2.04,
1291
+ "learning_rate": 4.9406495200170345e-06,
1292
+ "loss": 1.6689,
1293
+ "step": 214
1294
+ },
1295
+ {
1296
+ "epoch": 2.05,
1297
+ "learning_rate": 4.852071984901696e-06,
1298
+ "loss": 1.8164,
1299
+ "step": 215
1300
+ },
1301
+ {
1302
+ "epoch": 2.06,
1303
+ "learning_rate": 4.764040620856323e-06,
1304
+ "loss": 1.6289,
1305
+ "step": 216
1306
+ },
1307
+ {
1308
+ "epoch": 2.07,
1309
+ "learning_rate": 4.676564767596663e-06,
1310
+ "loss": 1.7148,
1311
+ "step": 217
1312
+ },
1313
+ {
1314
+ "epoch": 2.08,
1315
+ "learning_rate": 4.5896537059013536e-06,
1316
+ "loss": 1.79,
1317
+ "step": 218
1318
+ },
1319
+ {
1320
+ "epoch": 2.09,
1321
+ "learning_rate": 4.503316656627295e-06,
1322
+ "loss": 1.6221,
1323
+ "step": 219
1324
+ },
1325
+ {
1326
+ "epoch": 2.1,
1327
+ "learning_rate": 4.417562779731355e-06,
1328
+ "loss": 1.71,
1329
+ "step": 220
1330
+ },
1331
+ {
1332
+ "epoch": 2.1,
1333
+ "learning_rate": 4.332401173298544e-06,
1334
+ "loss": 1.5859,
1335
+ "step": 221
1336
+ },
1337
+ {
1338
+ "epoch": 2.11,
1339
+ "learning_rate": 4.24784087257674e-06,
1340
+ "loss": 1.6191,
1341
+ "step": 222
1342
+ },
1343
+ {
1344
+ "epoch": 2.12,
1345
+ "learning_rate": 4.163890849018114e-06,
1346
+ "loss": 1.7393,
1347
+ "step": 223
1348
+ },
1349
+ {
1350
+ "epoch": 2.13,
1351
+ "learning_rate": 4.080560009327274e-06,
1352
+ "loss": 1.7051,
1353
+ "step": 224
1354
+ },
1355
+ {
1356
+ "epoch": 2.14,
1357
+ "learning_rate": 3.997857194516319e-06,
1358
+ "loss": 1.6621,
1359
+ "step": 225
1360
+ },
1361
+ {
1362
+ "epoch": 2.15,
1363
+ "learning_rate": 3.915791178966852e-06,
1364
+ "loss": 1.6973,
1365
+ "step": 226
1366
+ },
1367
+ {
1368
+ "epoch": 2.16,
1369
+ "learning_rate": 3.834370669499047e-06,
1370
+ "loss": 1.7031,
1371
+ "step": 227
1372
+ },
1373
+ {
1374
+ "epoch": 2.17,
1375
+ "learning_rate": 3.753604304447915e-06,
1376
+ "loss": 1.7021,
1377
+ "step": 228
1378
+ },
1379
+ {
1380
+ "epoch": 2.18,
1381
+ "learning_rate": 3.6735006527467967e-06,
1382
+ "loss": 1.7051,
1383
+ "step": 229
1384
+ },
1385
+ {
1386
+ "epoch": 2.19,
1387
+ "learning_rate": 3.594068213018249e-06,
1388
+ "loss": 1.7451,
1389
+ "step": 230
1390
+ },
1391
+ {
1392
+ "epoch": 2.2,
1393
+ "learning_rate": 3.515315412672384e-06,
1394
+ "loss": 1.7207,
1395
+ "step": 231
1396
+ },
1397
+ {
1398
+ "epoch": 2.21,
1399
+ "learning_rate": 3.4372506070127476e-06,
1400
+ "loss": 1.6436,
1401
+ "step": 232
1402
+ },
1403
+ {
1404
+ "epoch": 2.22,
1405
+ "learning_rate": 3.3598820783498833e-06,
1406
+ "loss": 1.667,
1407
+ "step": 233
1408
+ },
1409
+ {
1410
+ "epoch": 2.23,
1411
+ "learning_rate": 3.2832180351225916e-06,
1412
+ "loss": 1.7021,
1413
+ "step": 234
1414
+ },
1415
+ {
1416
+ "epoch": 2.24,
1417
+ "learning_rate": 3.207266611027069e-06,
1418
+ "loss": 1.7061,
1419
+ "step": 235
1420
+ },
1421
+ {
1422
+ "epoch": 2.25,
1423
+ "learning_rate": 3.1320358641539583e-06,
1424
+ "loss": 1.6035,
1425
+ "step": 236
1426
+ },
1427
+ {
1428
+ "epoch": 2.26,
1429
+ "learning_rate": 3.0575337761334213e-06,
1430
+ "loss": 1.6094,
1431
+ "step": 237
1432
+ },
1433
+ {
1434
+ "epoch": 2.27,
1435
+ "learning_rate": 2.9837682512883205e-06,
1436
+ "loss": 1.707,
1437
+ "step": 238
1438
+ },
1439
+ {
1440
+ "epoch": 2.28,
1441
+ "learning_rate": 2.910747115795628e-06,
1442
+ "loss": 1.6982,
1443
+ "step": 239
1444
+ },
1445
+ {
1446
+ "epoch": 2.29,
1447
+ "learning_rate": 2.8384781168560693e-06,
1448
+ "loss": 1.5889,
1449
+ "step": 240
1450
+ },
1451
+ {
1452
+ "epoch": 2.3,
1453
+ "learning_rate": 2.766968921872213e-06,
1454
+ "loss": 1.7129,
1455
+ "step": 241
1456
+ },
1457
+ {
1458
+ "epoch": 2.3,
1459
+ "learning_rate": 2.696227117634985e-06,
1460
+ "loss": 1.6025,
1461
+ "step": 242
1462
+ },
1463
+ {
1464
+ "epoch": 2.31,
1465
+ "learning_rate": 2.626260209518737e-06,
1466
+ "loss": 1.7686,
1467
+ "step": 243
1468
+ },
1469
+ {
1470
+ "epoch": 2.32,
1471
+ "learning_rate": 2.5570756206849834e-06,
1472
+ "loss": 1.6543,
1473
+ "step": 244
1474
+ },
1475
+ {
1476
+ "epoch": 2.33,
1477
+ "learning_rate": 2.4886806912948034e-06,
1478
+ "loss": 1.627,
1479
+ "step": 245
1480
+ },
1481
+ {
1482
+ "epoch": 2.34,
1483
+ "learning_rate": 2.4210826777301154e-06,
1484
+ "loss": 1.7227,
1485
+ "step": 246
1486
+ },
1487
+ {
1488
+ "epoch": 2.35,
1489
+ "learning_rate": 2.3542887518238056e-06,
1490
+ "loss": 1.7588,
1491
+ "step": 247
1492
+ },
1493
+ {
1494
+ "epoch": 2.36,
1495
+ "learning_rate": 2.288306000098811e-06,
1496
+ "loss": 1.7256,
1497
+ "step": 248
1498
+ },
1499
+ {
1500
+ "epoch": 2.37,
1501
+ "learning_rate": 2.2231414230162897e-06,
1502
+ "loss": 1.5625,
1503
+ "step": 249
1504
+ },
1505
+ {
1506
+ "epoch": 2.38,
1507
+ "learning_rate": 2.158801934232897e-06,
1508
+ "loss": 1.7207,
1509
+ "step": 250
1510
+ },
1511
+ {
1512
+ "epoch": 2.39,
1513
+ "learning_rate": 2.0952943598672847e-06,
1514
+ "loss": 1.8096,
1515
+ "step": 251
1516
+ },
1517
+ {
1518
+ "epoch": 2.4,
1519
+ "learning_rate": 2.0326254377758704e-06,
1520
+ "loss": 1.6533,
1521
+ "step": 252
1522
+ },
1523
+ {
1524
+ "epoch": 2.41,
1525
+ "learning_rate": 1.970801816838004e-06,
1526
+ "loss": 1.7139,
1527
+ "step": 253
1528
+ },
1529
+ {
1530
+ "epoch": 2.42,
1531
+ "learning_rate": 1.9098300562505266e-06,
1532
+ "loss": 1.6504,
1533
+ "step": 254
1534
+ },
1535
+ {
1536
+ "epoch": 2.43,
1537
+ "learning_rate": 1.8497166248318876e-06,
1538
+ "loss": 1.585,
1539
+ "step": 255
1540
+ },
1541
+ {
1542
+ "epoch": 2.44,
1543
+ "learning_rate": 1.7904679003358283e-06,
1544
+ "loss": 1.6641,
1545
+ "step": 256
1546
+ },
1547
+ {
1548
+ "epoch": 2.45,
1549
+ "learning_rate": 1.7320901687747294e-06,
1550
+ "loss": 1.7246,
1551
+ "step": 257
1552
+ },
1553
+ {
1554
+ "epoch": 2.46,
1555
+ "learning_rate": 1.6745896237527071e-06,
1556
+ "loss": 1.6484,
1557
+ "step": 258
1558
+ },
1559
+ {
1560
+ "epoch": 2.47,
1561
+ "learning_rate": 1.6179723658084811e-06,
1562
+ "loss": 1.8076,
1563
+ "step": 259
1564
+ },
1565
+ {
1566
+ "epoch": 2.48,
1567
+ "learning_rate": 1.5622444017681438e-06,
1568
+ "loss": 1.748,
1569
+ "step": 260
1570
+ },
1571
+ {
1572
+ "epoch": 2.49,
1573
+ "learning_rate": 1.507411644107879e-06,
1574
+ "loss": 1.5947,
1575
+ "step": 261
1576
+ },
1577
+ {
1578
+ "epoch": 2.5,
1579
+ "learning_rate": 1.4534799103266505e-06,
1580
+ "loss": 1.667,
1581
+ "step": 262
1582
+ },
1583
+ {
1584
+ "epoch": 2.5,
1585
+ "learning_rate": 1.4004549223290165e-06,
1586
+ "loss": 1.6357,
1587
+ "step": 263
1588
+ },
1589
+ {
1590
+ "epoch": 2.51,
1591
+ "learning_rate": 1.3483423058180423e-06,
1592
+ "loss": 1.5732,
1593
+ "step": 264
1594
+ },
1595
+ {
1596
+ "epoch": 2.52,
1597
+ "learning_rate": 1.2971475896984475e-06,
1598
+ "loss": 1.6221,
1599
+ "step": 265
1600
+ },
1601
+ {
1602
+ "epoch": 2.53,
1603
+ "learning_rate": 1.2468762054900264e-06,
1604
+ "loss": 1.7861,
1605
+ "step": 266
1606
+ },
1607
+ {
1608
+ "epoch": 2.54,
1609
+ "learning_rate": 1.1975334867513687e-06,
1610
+ "loss": 1.6611,
1611
+ "step": 267
1612
+ },
1613
+ {
1614
+ "epoch": 2.55,
1615
+ "learning_rate": 1.1491246685140078e-06,
1616
+ "loss": 1.4912,
1617
+ "step": 268
1618
+ },
1619
+ {
1620
+ "epoch": 2.56,
1621
+ "learning_rate": 1.1016548867270037e-06,
1622
+ "loss": 1.6748,
1623
+ "step": 269
1624
+ },
1625
+ {
1626
+ "epoch": 2.57,
1627
+ "learning_rate": 1.0551291777120465e-06,
1628
+ "loss": 1.8672,
1629
+ "step": 270
1630
+ },
1631
+ {
1632
+ "epoch": 2.58,
1633
+ "learning_rate": 1.0095524776291165e-06,
1634
+ "loss": 1.7246,
1635
+ "step": 271
1636
+ },
1637
+ {
1638
+ "epoch": 2.59,
1639
+ "learning_rate": 9.649296219527982e-07,
1640
+ "loss": 1.6426,
1641
+ "step": 272
1642
+ },
1643
+ {
1644
+ "epoch": 2.6,
1645
+ "learning_rate": 9.21265344959239e-07,
1646
+ "loss": 1.6289,
1647
+ "step": 273
1648
+ },
1649
+ {
1650
+ "epoch": 2.61,
1651
+ "learning_rate": 8.785642792238814e-07,
1652
+ "loss": 1.6562,
1653
+ "step": 274
1654
+ },
1655
+ {
1656
+ "epoch": 2.62,
1657
+ "learning_rate": 8.368309551299536e-07,
1658
+ "loss": 1.7344,
1659
+ "step": 275
1660
+ },
1661
+ {
1662
+ "epoch": 2.63,
1663
+ "learning_rate": 7.960698003878309e-07,
1664
+ "loss": 1.7451,
1665
+ "step": 276
1666
+ },
1667
+ {
1668
+ "epoch": 2.64,
1669
+ "learning_rate": 7.562851395652693e-07,
1670
+ "loss": 1.6445,
1671
+ "step": 277
1672
+ },
1673
+ {
1674
+ "epoch": 2.65,
1675
+ "learning_rate": 7.174811936285886e-07,
1676
+ "loss": 1.792,
1677
+ "step": 278
1678
+ },
1679
+ {
1680
+ "epoch": 2.66,
1681
+ "learning_rate": 6.796620794948483e-07,
1682
+ "loss": 1.6738,
1683
+ "step": 279
1684
+ },
1685
+ {
1686
+ "epoch": 2.67,
1687
+ "learning_rate": 6.428318095950648e-07,
1688
+ "loss": 1.5811,
1689
+ "step": 280
1690
+ },
1691
+ {
1692
+ "epoch": 2.68,
1693
+ "learning_rate": 6.06994291448505e-07,
1694
+ "loss": 1.7129,
1695
+ "step": 281
1696
+ },
1697
+ {
1698
+ "epoch": 2.69,
1699
+ "learning_rate": 5.721533272481272e-07,
1700
+ "loss": 1.5957,
1701
+ "step": 282
1702
+ },
1703
+ {
1704
+ "epoch": 2.7,
1705
+ "learning_rate": 5.383126134571748e-07,
1706
+ "loss": 1.7637,
1707
+ "step": 283
1708
+ },
1709
+ {
1710
+ "epoch": 2.7,
1711
+ "learning_rate": 5.054757404170074e-07,
1712
+ "loss": 1.7734,
1713
+ "step": 284
1714
+ },
1715
+ {
1716
+ "epoch": 2.71,
1717
+ "learning_rate": 4.73646191966175e-07,
1718
+ "loss": 1.5537,
1719
+ "step": 285
1720
+ },
1721
+ {
1722
+ "epoch": 2.72,
1723
+ "learning_rate": 4.428273450708065e-07,
1724
+ "loss": 1.666,
1725
+ "step": 286
1726
+ },
1727
+ {
1728
+ "epoch": 2.73,
1729
+ "learning_rate": 4.1302246946632206e-07,
1730
+ "loss": 1.6973,
1731
+ "step": 287
1732
+ },
1733
+ {
1734
+ "epoch": 2.74,
1735
+ "learning_rate": 3.842347273105396e-07,
1736
+ "loss": 1.7041,
1737
+ "step": 288
1738
+ },
1739
+ {
1740
+ "epoch": 2.75,
1741
+ "learning_rate": 3.564671728481739e-07,
1742
+ "loss": 1.7529,
1743
+ "step": 289
1744
+ },
1745
+ {
1746
+ "epoch": 2.76,
1747
+ "learning_rate": 3.2972275208679625e-07,
1748
+ "loss": 1.667,
1749
+ "step": 290
1750
+ },
1751
+ {
1752
+ "epoch": 2.77,
1753
+ "learning_rate": 3.0400430248428983e-07,
1754
+ "loss": 1.7051,
1755
+ "step": 291
1756
+ },
1757
+ {
1758
+ "epoch": 2.78,
1759
+ "learning_rate": 2.793145526477914e-07,
1760
+ "loss": 1.7529,
1761
+ "step": 292
1762
+ },
1763
+ {
1764
+ "epoch": 2.79,
1765
+ "learning_rate": 2.556561220442144e-07,
1766
+ "loss": 1.5752,
1767
+ "step": 293
1768
+ },
1769
+ {
1770
+ "epoch": 2.8,
1771
+ "learning_rate": 2.3303152072231883e-07,
1772
+ "loss": 1.7285,
1773
+ "step": 294
1774
+ },
1775
+ {
1776
+ "epoch": 2.81,
1777
+ "learning_rate": 2.1144314904642194e-07,
1778
+ "loss": 1.7803,
1779
+ "step": 295
1780
+ },
1781
+ {
1782
+ "epoch": 2.82,
1783
+ "learning_rate": 1.9089329744172658e-07,
1784
+ "loss": 1.6621,
1785
+ "step": 296
1786
+ },
1787
+ {
1788
+ "epoch": 2.83,
1789
+ "learning_rate": 1.7138414615131327e-07,
1790
+ "loss": 1.6738,
1791
+ "step": 297
1792
+ },
1793
+ {
1794
+ "epoch": 2.84,
1795
+ "learning_rate": 1.529177650048297e-07,
1796
+ "loss": 1.6641,
1797
+ "step": 298
1798
+ },
1799
+ {
1800
+ "epoch": 2.85,
1801
+ "learning_rate": 1.3549611319889522e-07,
1802
+ "loss": 1.6367,
1803
+ "step": 299
1804
+ },
1805
+ {
1806
+ "epoch": 2.86,
1807
+ "learning_rate": 1.1912103908922945e-07,
1808
+ "loss": 1.6582,
1809
+ "step": 300
1810
+ },
1811
+ {
1812
+ "epoch": 2.87,
1813
+ "learning_rate": 1.0379427999456015e-07,
1814
+ "loss": 1.6406,
1815
+ "step": 301
1816
+ },
1817
+ {
1818
+ "epoch": 2.88,
1819
+ "learning_rate": 8.951746201229961e-08,
1820
+ "loss": 1.709,
1821
+ "step": 302
1822
+ },
1823
+ {
1824
+ "epoch": 2.89,
1825
+ "learning_rate": 7.629209984601816e-08,
1826
+ "loss": 1.6416,
1827
+ "step": 303
1828
+ },
1829
+ {
1830
+ "epoch": 2.9,
1831
+ "learning_rate": 6.411959664474832e-08,
1832
+ "loss": 1.7266,
1833
+ "step": 304
1834
+ },
1835
+ {
1836
+ "epoch": 2.9,
1837
+ "learning_rate": 5.300124385410943e-08,
1838
+ "loss": 1.6006,
1839
+ "step": 305
1840
+ },
1841
+ {
1842
+ "epoch": 2.91,
1843
+ "learning_rate": 4.2938221079300566e-08,
1844
+ "loss": 1.707,
1845
+ "step": 306
1846
+ },
1847
+ {
1848
+ "epoch": 2.92,
1849
+ "learning_rate": 3.3931595959942885e-08,
1850
+ "loss": 1.6123,
1851
+ "step": 307
1852
+ },
1853
+ {
1854
+ "epoch": 2.93,
1855
+ "learning_rate": 2.5982324056810227e-08,
1856
+ "loss": 1.6455,
1857
+ "step": 308
1858
+ },
1859
+ {
1860
+ "epoch": 2.94,
1861
+ "learning_rate": 1.9091248750446877e-08,
1862
+ "loss": 1.7812,
1863
+ "step": 309
1864
+ },
1865
+ {
1866
+ "epoch": 2.95,
1867
+ "learning_rate": 1.325910115169471e-08,
1868
+ "loss": 1.6172,
1869
+ "step": 310
1870
+ },
1871
+ {
1872
+ "epoch": 2.96,
1873
+ "learning_rate": 8.48650002411855e-09,
1874
+ "loss": 1.6328,
1875
+ "step": 311
1876
+ },
1877
+ {
1878
+ "epoch": 2.97,
1879
+ "learning_rate": 4.773951718362035e-09,
1880
+ "loss": 1.6768,
1881
+ "step": 312
1882
+ },
1883
+ {
1884
+ "epoch": 2.98,
1885
+ "learning_rate": 2.1218501184261385e-09,
1886
+ "loss": 1.6006,
1887
+ "step": 313
1888
+ },
1889
+ {
1890
+ "epoch": 2.99,
1891
+ "learning_rate": 5.304765998781491e-10,
1892
+ "loss": 1.5791,
1893
+ "step": 314
1894
+ },
1895
+ {
1896
+ "epoch": 3.0,
1897
+ "learning_rate": 0.0,
1898
+ "loss": 1.4365,
1899
+ "step": 315
1900
+ },
1901
+ {
1902
+ "epoch": 3.0,
1903
+ "step": 315,
1904
+ "total_flos": 19095171661824.0,
1905
+ "train_loss": 1.9948753720238095,
1906
+ "train_runtime": 5108.9216,
1907
+ "train_samples_per_second": 1.957,
1908
+ "train_steps_per_second": 0.062
1909
+ }
1910
+ ],
1911
+ "logging_steps": 1.0,
1912
+ "max_steps": 315,
1913
+ "num_input_tokens_seen": 0,
1914
+ "num_train_epochs": 3,
1915
+ "save_steps": 158,
1916
+ "total_flos": 19095171661824.0,
1917
+ "train_batch_size": 4,
1918
+ "trial_name": null,
1919
+ "trial_params": null
1920
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:109b42a783f5a28deaec95c0529e41e62fc80aadbf4833beaf1f1be64fe52daf
3
+ size 6203
vocab.json ADDED
The diff for this file is too large to render. See raw diff