Commit
·
24c6376
1
Parent(s):
7d4a9c4
Delete layout_planner_m1
Browse files- layout_planner_m1/config.json +0 -26
- layout_planner_m1/generation_config.json +0 -9
- layout_planner_m1/pytorch_model-00001-of-00003.bin +0 -3
- layout_planner_m1/pytorch_model-00002-of-00003.bin +0 -3
- layout_planner_m1/pytorch_model-00003-of-00003.bin +0 -3
- layout_planner_m1/pytorch_model.bin.index.json +0 -330
- layout_planner_m1/special_tokens_map.json +0 -24
- layout_planner_m1/tokenizer.model +0 -3
- layout_planner_m1/tokenizer_config.json +0 -35
- layout_planner_m1/trainer_state.json +0 -2797
- layout_planner_m1/training_args.bin +0 -3
layout_planner_m1/config.json
DELETED
|
@@ -1,26 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_name_or_path": "lmsys/vicuna-7b-v1.5",
|
| 3 |
-
"architectures": [
|
| 4 |
-
"LlamaForCausalLM"
|
| 5 |
-
],
|
| 6 |
-
"bos_token_id": 1,
|
| 7 |
-
"eos_token_id": 2,
|
| 8 |
-
"hidden_act": "silu",
|
| 9 |
-
"hidden_size": 4096,
|
| 10 |
-
"initializer_range": 0.02,
|
| 11 |
-
"intermediate_size": 11008,
|
| 12 |
-
"max_position_embeddings": 4096,
|
| 13 |
-
"model_type": "llama",
|
| 14 |
-
"num_attention_heads": 32,
|
| 15 |
-
"num_hidden_layers": 32,
|
| 16 |
-
"num_key_value_heads": 32,
|
| 17 |
-
"pad_token_id": 0,
|
| 18 |
-
"pretraining_tp": 1,
|
| 19 |
-
"rms_norm_eps": 1e-05,
|
| 20 |
-
"rope_scaling": null,
|
| 21 |
-
"tie_word_embeddings": false,
|
| 22 |
-
"torch_dtype": "float32",
|
| 23 |
-
"transformers_version": "4.28.1",
|
| 24 |
-
"use_cache": true,
|
| 25 |
-
"vocab_size": 32000
|
| 26 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/generation_config.json
DELETED
|
@@ -1,9 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token_id": 1,
|
| 3 |
-
"eos_token_id": 2,
|
| 4 |
-
"max_length": 4096,
|
| 5 |
-
"pad_token_id": 0,
|
| 6 |
-
"temperature": 0.9,
|
| 7 |
-
"top_p": 0.6,
|
| 8 |
-
"transformers_version": "4.28.1"
|
| 9 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/pytorch_model-00001-of-00003.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:5bdf47d029f2dac9dace788703e64302bbc35da51ac174836b331a6fc32b446e
|
| 3 |
-
size 9877989586
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/pytorch_model-00002-of-00003.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:899f2dffbb3988d1d5018fabb7d4f811d507ba53a49f963cb563ab0b0a85d4b3
|
| 3 |
-
size 9894801014
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/pytorch_model-00003-of-00003.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:621323abc17186718c18e1a61f70ae649002e6a2c1d71498dfb3638c777aca64
|
| 3 |
-
size 7180990649
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/pytorch_model.bin.index.json
DELETED
|
@@ -1,330 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"metadata": {
|
| 3 |
-
"total_size": 26953670656
|
| 4 |
-
},
|
| 5 |
-
"weight_map": {
|
| 6 |
-
"lm_head.weight": "pytorch_model-00003-of-00003.bin",
|
| 7 |
-
"model.embed_tokens.weight": "pytorch_model-00001-of-00003.bin",
|
| 8 |
-
"model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 9 |
-
"model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 10 |
-
"model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 11 |
-
"model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 12 |
-
"model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 13 |
-
"model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 14 |
-
"model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 15 |
-
"model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 16 |
-
"model.layers.0.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 17 |
-
"model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 18 |
-
"model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 19 |
-
"model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 20 |
-
"model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 21 |
-
"model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 22 |
-
"model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 23 |
-
"model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 24 |
-
"model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 25 |
-
"model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 26 |
-
"model.layers.1.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 27 |
-
"model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 28 |
-
"model.layers.10.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 29 |
-
"model.layers.10.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 30 |
-
"model.layers.10.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 31 |
-
"model.layers.10.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 32 |
-
"model.layers.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 33 |
-
"model.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 34 |
-
"model.layers.10.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 35 |
-
"model.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 36 |
-
"model.layers.10.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 37 |
-
"model.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 38 |
-
"model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 39 |
-
"model.layers.11.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 40 |
-
"model.layers.11.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 41 |
-
"model.layers.11.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 42 |
-
"model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 43 |
-
"model.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 44 |
-
"model.layers.11.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 45 |
-
"model.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 46 |
-
"model.layers.11.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 47 |
-
"model.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 48 |
-
"model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 49 |
-
"model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 50 |
-
"model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 51 |
-
"model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 52 |
-
"model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 53 |
-
"model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 54 |
-
"model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 55 |
-
"model.layers.12.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 56 |
-
"model.layers.12.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 57 |
-
"model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 58 |
-
"model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 59 |
-
"model.layers.13.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 60 |
-
"model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 61 |
-
"model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 62 |
-
"model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 63 |
-
"model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 64 |
-
"model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 65 |
-
"model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 66 |
-
"model.layers.13.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 67 |
-
"model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 68 |
-
"model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 69 |
-
"model.layers.14.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 70 |
-
"model.layers.14.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 71 |
-
"model.layers.14.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 72 |
-
"model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 73 |
-
"model.layers.14.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 74 |
-
"model.layers.14.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 75 |
-
"model.layers.14.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 76 |
-
"model.layers.14.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 77 |
-
"model.layers.14.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 78 |
-
"model.layers.15.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 79 |
-
"model.layers.15.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 80 |
-
"model.layers.15.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 81 |
-
"model.layers.15.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 82 |
-
"model.layers.15.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 83 |
-
"model.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 84 |
-
"model.layers.15.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 85 |
-
"model.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 86 |
-
"model.layers.15.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 87 |
-
"model.layers.15.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 88 |
-
"model.layers.16.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 89 |
-
"model.layers.16.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 90 |
-
"model.layers.16.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 91 |
-
"model.layers.16.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 92 |
-
"model.layers.16.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 93 |
-
"model.layers.16.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 94 |
-
"model.layers.16.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 95 |
-
"model.layers.16.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 96 |
-
"model.layers.16.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 97 |
-
"model.layers.16.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 98 |
-
"model.layers.17.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 99 |
-
"model.layers.17.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 100 |
-
"model.layers.17.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 101 |
-
"model.layers.17.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 102 |
-
"model.layers.17.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 103 |
-
"model.layers.17.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 104 |
-
"model.layers.17.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 105 |
-
"model.layers.17.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 106 |
-
"model.layers.17.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 107 |
-
"model.layers.17.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 108 |
-
"model.layers.18.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 109 |
-
"model.layers.18.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 110 |
-
"model.layers.18.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 111 |
-
"model.layers.18.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 112 |
-
"model.layers.18.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 113 |
-
"model.layers.18.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 114 |
-
"model.layers.18.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 115 |
-
"model.layers.18.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 116 |
-
"model.layers.18.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 117 |
-
"model.layers.18.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 118 |
-
"model.layers.19.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 119 |
-
"model.layers.19.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 120 |
-
"model.layers.19.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 121 |
-
"model.layers.19.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 122 |
-
"model.layers.19.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 123 |
-
"model.layers.19.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 124 |
-
"model.layers.19.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 125 |
-
"model.layers.19.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 126 |
-
"model.layers.19.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 127 |
-
"model.layers.19.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 128 |
-
"model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 129 |
-
"model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 130 |
-
"model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 131 |
-
"model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 132 |
-
"model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 133 |
-
"model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 134 |
-
"model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 135 |
-
"model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 136 |
-
"model.layers.2.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 137 |
-
"model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 138 |
-
"model.layers.20.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 139 |
-
"model.layers.20.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 140 |
-
"model.layers.20.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 141 |
-
"model.layers.20.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 142 |
-
"model.layers.20.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 143 |
-
"model.layers.20.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 144 |
-
"model.layers.20.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 145 |
-
"model.layers.20.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 146 |
-
"model.layers.20.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 147 |
-
"model.layers.20.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 148 |
-
"model.layers.21.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 149 |
-
"model.layers.21.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 150 |
-
"model.layers.21.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 151 |
-
"model.layers.21.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 152 |
-
"model.layers.21.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 153 |
-
"model.layers.21.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 154 |
-
"model.layers.21.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 155 |
-
"model.layers.21.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 156 |
-
"model.layers.21.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 157 |
-
"model.layers.21.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 158 |
-
"model.layers.22.input_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 159 |
-
"model.layers.22.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 160 |
-
"model.layers.22.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 161 |
-
"model.layers.22.mlp.up_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 162 |
-
"model.layers.22.post_attention_layernorm.weight": "pytorch_model-00002-of-00003.bin",
|
| 163 |
-
"model.layers.22.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 164 |
-
"model.layers.22.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 165 |
-
"model.layers.22.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 166 |
-
"model.layers.22.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 167 |
-
"model.layers.22.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 168 |
-
"model.layers.23.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 169 |
-
"model.layers.23.mlp.down_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 170 |
-
"model.layers.23.mlp.gate_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 171 |
-
"model.layers.23.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 172 |
-
"model.layers.23.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 173 |
-
"model.layers.23.self_attn.k_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 174 |
-
"model.layers.23.self_attn.o_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 175 |
-
"model.layers.23.self_attn.q_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 176 |
-
"model.layers.23.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00003.bin",
|
| 177 |
-
"model.layers.23.self_attn.v_proj.weight": "pytorch_model-00002-of-00003.bin",
|
| 178 |
-
"model.layers.24.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 179 |
-
"model.layers.24.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 180 |
-
"model.layers.24.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 181 |
-
"model.layers.24.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 182 |
-
"model.layers.24.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 183 |
-
"model.layers.24.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 184 |
-
"model.layers.24.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 185 |
-
"model.layers.24.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 186 |
-
"model.layers.24.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 187 |
-
"model.layers.24.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 188 |
-
"model.layers.25.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 189 |
-
"model.layers.25.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 190 |
-
"model.layers.25.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 191 |
-
"model.layers.25.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 192 |
-
"model.layers.25.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 193 |
-
"model.layers.25.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 194 |
-
"model.layers.25.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 195 |
-
"model.layers.25.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 196 |
-
"model.layers.25.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 197 |
-
"model.layers.25.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 198 |
-
"model.layers.26.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 199 |
-
"model.layers.26.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 200 |
-
"model.layers.26.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 201 |
-
"model.layers.26.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 202 |
-
"model.layers.26.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 203 |
-
"model.layers.26.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 204 |
-
"model.layers.26.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 205 |
-
"model.layers.26.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 206 |
-
"model.layers.26.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 207 |
-
"model.layers.26.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 208 |
-
"model.layers.27.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 209 |
-
"model.layers.27.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 210 |
-
"model.layers.27.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 211 |
-
"model.layers.27.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 212 |
-
"model.layers.27.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 213 |
-
"model.layers.27.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 214 |
-
"model.layers.27.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 215 |
-
"model.layers.27.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 216 |
-
"model.layers.27.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 217 |
-
"model.layers.27.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 218 |
-
"model.layers.28.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 219 |
-
"model.layers.28.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 220 |
-
"model.layers.28.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 221 |
-
"model.layers.28.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 222 |
-
"model.layers.28.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 223 |
-
"model.layers.28.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 224 |
-
"model.layers.28.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 225 |
-
"model.layers.28.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 226 |
-
"model.layers.28.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 227 |
-
"model.layers.28.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 228 |
-
"model.layers.29.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 229 |
-
"model.layers.29.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 230 |
-
"model.layers.29.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 231 |
-
"model.layers.29.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 232 |
-
"model.layers.29.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 233 |
-
"model.layers.29.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 234 |
-
"model.layers.29.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 235 |
-
"model.layers.29.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 236 |
-
"model.layers.29.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 237 |
-
"model.layers.29.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 238 |
-
"model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 239 |
-
"model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 240 |
-
"model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 241 |
-
"model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 242 |
-
"model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 243 |
-
"model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 244 |
-
"model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 245 |
-
"model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 246 |
-
"model.layers.3.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 247 |
-
"model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 248 |
-
"model.layers.30.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 249 |
-
"model.layers.30.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 250 |
-
"model.layers.30.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 251 |
-
"model.layers.30.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 252 |
-
"model.layers.30.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 253 |
-
"model.layers.30.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 254 |
-
"model.layers.30.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 255 |
-
"model.layers.30.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 256 |
-
"model.layers.30.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 257 |
-
"model.layers.30.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 258 |
-
"model.layers.31.input_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 259 |
-
"model.layers.31.mlp.down_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 260 |
-
"model.layers.31.mlp.gate_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 261 |
-
"model.layers.31.mlp.up_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 262 |
-
"model.layers.31.post_attention_layernorm.weight": "pytorch_model-00003-of-00003.bin",
|
| 263 |
-
"model.layers.31.self_attn.k_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 264 |
-
"model.layers.31.self_attn.o_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 265 |
-
"model.layers.31.self_attn.q_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 266 |
-
"model.layers.31.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00003.bin",
|
| 267 |
-
"model.layers.31.self_attn.v_proj.weight": "pytorch_model-00003-of-00003.bin",
|
| 268 |
-
"model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 269 |
-
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 270 |
-
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 271 |
-
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 272 |
-
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 273 |
-
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 274 |
-
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 275 |
-
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 276 |
-
"model.layers.4.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 277 |
-
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 278 |
-
"model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 279 |
-
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 280 |
-
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 281 |
-
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 282 |
-
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 283 |
-
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 284 |
-
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 285 |
-
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 286 |
-
"model.layers.5.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 287 |
-
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 288 |
-
"model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 289 |
-
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 290 |
-
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 291 |
-
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 292 |
-
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 293 |
-
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 294 |
-
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 295 |
-
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 296 |
-
"model.layers.6.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 297 |
-
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 298 |
-
"model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 299 |
-
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 300 |
-
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 301 |
-
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 302 |
-
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 303 |
-
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 304 |
-
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 305 |
-
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 306 |
-
"model.layers.7.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 307 |
-
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 308 |
-
"model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 309 |
-
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 310 |
-
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 311 |
-
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 312 |
-
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 313 |
-
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 314 |
-
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 315 |
-
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 316 |
-
"model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 317 |
-
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 318 |
-
"model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 319 |
-
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 320 |
-
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 321 |
-
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 322 |
-
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
|
| 323 |
-
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 324 |
-
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 325 |
-
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 326 |
-
"model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
|
| 327 |
-
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00003.bin",
|
| 328 |
-
"model.norm.weight": "pytorch_model-00003-of-00003.bin"
|
| 329 |
-
}
|
| 330 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/special_tokens_map.json
DELETED
|
@@ -1,24 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": {
|
| 3 |
-
"content": "<s>",
|
| 4 |
-
"lstrip": false,
|
| 5 |
-
"normalized": false,
|
| 6 |
-
"rstrip": false,
|
| 7 |
-
"single_word": false
|
| 8 |
-
},
|
| 9 |
-
"eos_token": {
|
| 10 |
-
"content": "</s>",
|
| 11 |
-
"lstrip": false,
|
| 12 |
-
"normalized": false,
|
| 13 |
-
"rstrip": false,
|
| 14 |
-
"single_word": false
|
| 15 |
-
},
|
| 16 |
-
"pad_token": "<unk>",
|
| 17 |
-
"unk_token": {
|
| 18 |
-
"content": "<unk>",
|
| 19 |
-
"lstrip": false,
|
| 20 |
-
"normalized": false,
|
| 21 |
-
"rstrip": false,
|
| 22 |
-
"single_word": false
|
| 23 |
-
}
|
| 24 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/tokenizer.model
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
-
size 499723
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/tokenizer_config.json
DELETED
|
@@ -1,35 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_bos_token": true,
|
| 3 |
-
"add_eos_token": false,
|
| 4 |
-
"bos_token": {
|
| 5 |
-
"__type": "AddedToken",
|
| 6 |
-
"content": "<s>",
|
| 7 |
-
"lstrip": false,
|
| 8 |
-
"normalized": false,
|
| 9 |
-
"rstrip": false,
|
| 10 |
-
"single_word": false
|
| 11 |
-
},
|
| 12 |
-
"clean_up_tokenization_spaces": false,
|
| 13 |
-
"eos_token": {
|
| 14 |
-
"__type": "AddedToken",
|
| 15 |
-
"content": "</s>",
|
| 16 |
-
"lstrip": false,
|
| 17 |
-
"normalized": false,
|
| 18 |
-
"rstrip": false,
|
| 19 |
-
"single_word": false
|
| 20 |
-
},
|
| 21 |
-
"legacy": false,
|
| 22 |
-
"model_max_length": 2048,
|
| 23 |
-
"pad_token": null,
|
| 24 |
-
"padding_side": "right",
|
| 25 |
-
"sp_model_kwargs": {},
|
| 26 |
-
"tokenizer_class": "LlamaTokenizer",
|
| 27 |
-
"unk_token": {
|
| 28 |
-
"__type": "AddedToken",
|
| 29 |
-
"content": "<unk>",
|
| 30 |
-
"lstrip": false,
|
| 31 |
-
"normalized": false,
|
| 32 |
-
"rstrip": false,
|
| 33 |
-
"single_word": false
|
| 34 |
-
}
|
| 35 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/trainer_state.json
DELETED
|
@@ -1,2797 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_metric": null,
|
| 3 |
-
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 5.97092084006462,
|
| 5 |
-
"global_step": 462,
|
| 6 |
-
"is_hyper_param_search": false,
|
| 7 |
-
"is_local_process_zero": true,
|
| 8 |
-
"is_world_process_zero": true,
|
| 9 |
-
"log_history": [
|
| 10 |
-
{
|
| 11 |
-
"epoch": 0.01,
|
| 12 |
-
"learning_rate": 1.4285714285714286e-06,
|
| 13 |
-
"loss": 2.1703,
|
| 14 |
-
"step": 1
|
| 15 |
-
},
|
| 16 |
-
{
|
| 17 |
-
"epoch": 0.03,
|
| 18 |
-
"learning_rate": 2.8571428571428573e-06,
|
| 19 |
-
"loss": 2.1529,
|
| 20 |
-
"step": 2
|
| 21 |
-
},
|
| 22 |
-
{
|
| 23 |
-
"epoch": 0.04,
|
| 24 |
-
"learning_rate": 4.2857142857142855e-06,
|
| 25 |
-
"loss": 1.4343,
|
| 26 |
-
"step": 3
|
| 27 |
-
},
|
| 28 |
-
{
|
| 29 |
-
"epoch": 0.05,
|
| 30 |
-
"learning_rate": 5.7142857142857145e-06,
|
| 31 |
-
"loss": 1.3822,
|
| 32 |
-
"step": 4
|
| 33 |
-
},
|
| 34 |
-
{
|
| 35 |
-
"epoch": 0.06,
|
| 36 |
-
"learning_rate": 7.1428571428571436e-06,
|
| 37 |
-
"loss": 1.259,
|
| 38 |
-
"step": 5
|
| 39 |
-
},
|
| 40 |
-
{
|
| 41 |
-
"epoch": 0.08,
|
| 42 |
-
"learning_rate": 8.571428571428571e-06,
|
| 43 |
-
"loss": 1.231,
|
| 44 |
-
"step": 6
|
| 45 |
-
},
|
| 46 |
-
{
|
| 47 |
-
"epoch": 0.09,
|
| 48 |
-
"learning_rate": 1e-05,
|
| 49 |
-
"loss": 1.1535,
|
| 50 |
-
"step": 7
|
| 51 |
-
},
|
| 52 |
-
{
|
| 53 |
-
"epoch": 0.1,
|
| 54 |
-
"learning_rate": 1.1428571428571429e-05,
|
| 55 |
-
"loss": 1.1701,
|
| 56 |
-
"step": 8
|
| 57 |
-
},
|
| 58 |
-
{
|
| 59 |
-
"epoch": 0.12,
|
| 60 |
-
"learning_rate": 1.2857142857142859e-05,
|
| 61 |
-
"loss": 1.1408,
|
| 62 |
-
"step": 9
|
| 63 |
-
},
|
| 64 |
-
{
|
| 65 |
-
"epoch": 0.13,
|
| 66 |
-
"learning_rate": 1.4285714285714287e-05,
|
| 67 |
-
"loss": 1.1468,
|
| 68 |
-
"step": 10
|
| 69 |
-
},
|
| 70 |
-
{
|
| 71 |
-
"epoch": 0.14,
|
| 72 |
-
"learning_rate": 1.5714285714285715e-05,
|
| 73 |
-
"loss": 1.1389,
|
| 74 |
-
"step": 11
|
| 75 |
-
},
|
| 76 |
-
{
|
| 77 |
-
"epoch": 0.16,
|
| 78 |
-
"learning_rate": 1.7142857142857142e-05,
|
| 79 |
-
"loss": 1.0866,
|
| 80 |
-
"step": 12
|
| 81 |
-
},
|
| 82 |
-
{
|
| 83 |
-
"epoch": 0.17,
|
| 84 |
-
"learning_rate": 1.8571428571428575e-05,
|
| 85 |
-
"loss": 1.0794,
|
| 86 |
-
"step": 13
|
| 87 |
-
},
|
| 88 |
-
{
|
| 89 |
-
"epoch": 0.18,
|
| 90 |
-
"learning_rate": 2e-05,
|
| 91 |
-
"loss": 1.0941,
|
| 92 |
-
"step": 14
|
| 93 |
-
},
|
| 94 |
-
{
|
| 95 |
-
"epoch": 0.19,
|
| 96 |
-
"learning_rate": 1.9999754126376247e-05,
|
| 97 |
-
"loss": 1.0402,
|
| 98 |
-
"step": 15
|
| 99 |
-
},
|
| 100 |
-
{
|
| 101 |
-
"epoch": 0.21,
|
| 102 |
-
"learning_rate": 1.9999016517595752e-05,
|
| 103 |
-
"loss": 1.0839,
|
| 104 |
-
"step": 16
|
| 105 |
-
},
|
| 106 |
-
{
|
| 107 |
-
"epoch": 0.22,
|
| 108 |
-
"learning_rate": 1.9997787209930222e-05,
|
| 109 |
-
"loss": 1.0533,
|
| 110 |
-
"step": 17
|
| 111 |
-
},
|
| 112 |
-
{
|
| 113 |
-
"epoch": 0.23,
|
| 114 |
-
"learning_rate": 1.9996066263830533e-05,
|
| 115 |
-
"loss": 1.0485,
|
| 116 |
-
"step": 18
|
| 117 |
-
},
|
| 118 |
-
{
|
| 119 |
-
"epoch": 0.25,
|
| 120 |
-
"learning_rate": 1.9993853763923724e-05,
|
| 121 |
-
"loss": 1.0572,
|
| 122 |
-
"step": 19
|
| 123 |
-
},
|
| 124 |
-
{
|
| 125 |
-
"epoch": 0.26,
|
| 126 |
-
"learning_rate": 1.999114981900887e-05,
|
| 127 |
-
"loss": 1.0493,
|
| 128 |
-
"step": 20
|
| 129 |
-
},
|
| 130 |
-
{
|
| 131 |
-
"epoch": 0.27,
|
| 132 |
-
"learning_rate": 1.9987954562051724e-05,
|
| 133 |
-
"loss": 1.077,
|
| 134 |
-
"step": 21
|
| 135 |
-
},
|
| 136 |
-
{
|
| 137 |
-
"epoch": 0.28,
|
| 138 |
-
"learning_rate": 1.998426815017817e-05,
|
| 139 |
-
"loss": 1.0676,
|
| 140 |
-
"step": 22
|
| 141 |
-
},
|
| 142 |
-
{
|
| 143 |
-
"epoch": 0.3,
|
| 144 |
-
"learning_rate": 1.9980090764666486e-05,
|
| 145 |
-
"loss": 1.0695,
|
| 146 |
-
"step": 23
|
| 147 |
-
},
|
| 148 |
-
{
|
| 149 |
-
"epoch": 0.31,
|
| 150 |
-
"learning_rate": 1.9975422610938463e-05,
|
| 151 |
-
"loss": 1.0383,
|
| 152 |
-
"step": 24
|
| 153 |
-
},
|
| 154 |
-
{
|
| 155 |
-
"epoch": 0.32,
|
| 156 |
-
"learning_rate": 1.9970263918549274e-05,
|
| 157 |
-
"loss": 1.0036,
|
| 158 |
-
"step": 25
|
| 159 |
-
},
|
| 160 |
-
{
|
| 161 |
-
"epoch": 0.34,
|
| 162 |
-
"learning_rate": 1.9964614941176194e-05,
|
| 163 |
-
"loss": 1.0124,
|
| 164 |
-
"step": 26
|
| 165 |
-
},
|
| 166 |
-
{
|
| 167 |
-
"epoch": 0.35,
|
| 168 |
-
"learning_rate": 1.9958475956606133e-05,
|
| 169 |
-
"loss": 1.0127,
|
| 170 |
-
"step": 27
|
| 171 |
-
},
|
| 172 |
-
{
|
| 173 |
-
"epoch": 0.36,
|
| 174 |
-
"learning_rate": 1.995184726672197e-05,
|
| 175 |
-
"loss": 0.9904,
|
| 176 |
-
"step": 28
|
| 177 |
-
},
|
| 178 |
-
{
|
| 179 |
-
"epoch": 0.37,
|
| 180 |
-
"learning_rate": 1.9944729197487702e-05,
|
| 181 |
-
"loss": 1.0295,
|
| 182 |
-
"step": 29
|
| 183 |
-
},
|
| 184 |
-
{
|
| 185 |
-
"epoch": 0.39,
|
| 186 |
-
"learning_rate": 1.9937122098932428e-05,
|
| 187 |
-
"loss": 1.0293,
|
| 188 |
-
"step": 30
|
| 189 |
-
},
|
| 190 |
-
{
|
| 191 |
-
"epoch": 0.4,
|
| 192 |
-
"learning_rate": 1.992902634513312e-05,
|
| 193 |
-
"loss": 0.9826,
|
| 194 |
-
"step": 31
|
| 195 |
-
},
|
| 196 |
-
{
|
| 197 |
-
"epoch": 0.41,
|
| 198 |
-
"learning_rate": 1.9920442334196248e-05,
|
| 199 |
-
"loss": 0.9924,
|
| 200 |
-
"step": 32
|
| 201 |
-
},
|
| 202 |
-
{
|
| 203 |
-
"epoch": 0.43,
|
| 204 |
-
"learning_rate": 1.9911370488238185e-05,
|
| 205 |
-
"loss": 0.9813,
|
| 206 |
-
"step": 33
|
| 207 |
-
},
|
| 208 |
-
{
|
| 209 |
-
"epoch": 0.44,
|
| 210 |
-
"learning_rate": 1.9901811253364458e-05,
|
| 211 |
-
"loss": 0.9965,
|
| 212 |
-
"step": 34
|
| 213 |
-
},
|
| 214 |
-
{
|
| 215 |
-
"epoch": 0.45,
|
| 216 |
-
"learning_rate": 1.989176509964781e-05,
|
| 217 |
-
"loss": 1.0157,
|
| 218 |
-
"step": 35
|
| 219 |
-
},
|
| 220 |
-
{
|
| 221 |
-
"epoch": 0.47,
|
| 222 |
-
"learning_rate": 1.988123252110509e-05,
|
| 223 |
-
"loss": 1.0625,
|
| 224 |
-
"step": 36
|
| 225 |
-
},
|
| 226 |
-
{
|
| 227 |
-
"epoch": 0.48,
|
| 228 |
-
"learning_rate": 1.9870214035672945e-05,
|
| 229 |
-
"loss": 1.0077,
|
| 230 |
-
"step": 37
|
| 231 |
-
},
|
| 232 |
-
{
|
| 233 |
-
"epoch": 0.49,
|
| 234 |
-
"learning_rate": 1.985871018518236e-05,
|
| 235 |
-
"loss": 0.9727,
|
| 236 |
-
"step": 38
|
| 237 |
-
},
|
| 238 |
-
{
|
| 239 |
-
"epoch": 0.5,
|
| 240 |
-
"learning_rate": 1.984672153533202e-05,
|
| 241 |
-
"loss": 0.9996,
|
| 242 |
-
"step": 39
|
| 243 |
-
},
|
| 244 |
-
{
|
| 245 |
-
"epoch": 0.52,
|
| 246 |
-
"learning_rate": 1.9834248675660484e-05,
|
| 247 |
-
"loss": 1.0046,
|
| 248 |
-
"step": 40
|
| 249 |
-
},
|
| 250 |
-
{
|
| 251 |
-
"epoch": 0.53,
|
| 252 |
-
"learning_rate": 1.982129221951719e-05,
|
| 253 |
-
"loss": 0.9891,
|
| 254 |
-
"step": 41
|
| 255 |
-
},
|
| 256 |
-
{
|
| 257 |
-
"epoch": 0.54,
|
| 258 |
-
"learning_rate": 1.9807852804032306e-05,
|
| 259 |
-
"loss": 1.1151,
|
| 260 |
-
"step": 42
|
| 261 |
-
},
|
| 262 |
-
{
|
| 263 |
-
"epoch": 0.56,
|
| 264 |
-
"learning_rate": 1.9793931090085385e-05,
|
| 265 |
-
"loss": 0.9895,
|
| 266 |
-
"step": 43
|
| 267 |
-
},
|
| 268 |
-
{
|
| 269 |
-
"epoch": 0.57,
|
| 270 |
-
"learning_rate": 1.9779527762272877e-05,
|
| 271 |
-
"loss": 0.9969,
|
| 272 |
-
"step": 44
|
| 273 |
-
},
|
| 274 |
-
{
|
| 275 |
-
"epoch": 0.58,
|
| 276 |
-
"learning_rate": 1.976464352887447e-05,
|
| 277 |
-
"loss": 0.9717,
|
| 278 |
-
"step": 45
|
| 279 |
-
},
|
| 280 |
-
{
|
| 281 |
-
"epoch": 0.59,
|
| 282 |
-
"learning_rate": 1.9749279121818235e-05,
|
| 283 |
-
"loss": 1.0397,
|
| 284 |
-
"step": 46
|
| 285 |
-
},
|
| 286 |
-
{
|
| 287 |
-
"epoch": 0.61,
|
| 288 |
-
"learning_rate": 1.973343529664467e-05,
|
| 289 |
-
"loss": 0.978,
|
| 290 |
-
"step": 47
|
| 291 |
-
},
|
| 292 |
-
{
|
| 293 |
-
"epoch": 0.62,
|
| 294 |
-
"learning_rate": 1.971711283246951e-05,
|
| 295 |
-
"loss": 0.9927,
|
| 296 |
-
"step": 48
|
| 297 |
-
},
|
| 298 |
-
{
|
| 299 |
-
"epoch": 0.63,
|
| 300 |
-
"learning_rate": 1.9700312531945444e-05,
|
| 301 |
-
"loss": 0.9446,
|
| 302 |
-
"step": 49
|
| 303 |
-
},
|
| 304 |
-
{
|
| 305 |
-
"epoch": 0.65,
|
| 306 |
-
"learning_rate": 1.9683035221222617e-05,
|
| 307 |
-
"loss": 0.9793,
|
| 308 |
-
"step": 50
|
| 309 |
-
},
|
| 310 |
-
{
|
| 311 |
-
"epoch": 0.66,
|
| 312 |
-
"learning_rate": 1.9665281749908034e-05,
|
| 313 |
-
"loss": 0.9999,
|
| 314 |
-
"step": 51
|
| 315 |
-
},
|
| 316 |
-
{
|
| 317 |
-
"epoch": 0.67,
|
| 318 |
-
"learning_rate": 1.964705299102376e-05,
|
| 319 |
-
"loss": 0.9607,
|
| 320 |
-
"step": 52
|
| 321 |
-
},
|
| 322 |
-
{
|
| 323 |
-
"epoch": 0.68,
|
| 324 |
-
"learning_rate": 1.9628349840963997e-05,
|
| 325 |
-
"loss": 0.9746,
|
| 326 |
-
"step": 53
|
| 327 |
-
},
|
| 328 |
-
{
|
| 329 |
-
"epoch": 0.7,
|
| 330 |
-
"learning_rate": 1.9609173219450998e-05,
|
| 331 |
-
"loss": 0.9671,
|
| 332 |
-
"step": 54
|
| 333 |
-
},
|
| 334 |
-
{
|
| 335 |
-
"epoch": 0.71,
|
| 336 |
-
"learning_rate": 1.958952406948985e-05,
|
| 337 |
-
"loss": 0.9879,
|
| 338 |
-
"step": 55
|
| 339 |
-
},
|
| 340 |
-
{
|
| 341 |
-
"epoch": 0.72,
|
| 342 |
-
"learning_rate": 1.956940335732209e-05,
|
| 343 |
-
"loss": 0.982,
|
| 344 |
-
"step": 56
|
| 345 |
-
},
|
| 346 |
-
{
|
| 347 |
-
"epoch": 0.74,
|
| 348 |
-
"learning_rate": 1.9548812072378208e-05,
|
| 349 |
-
"loss": 0.945,
|
| 350 |
-
"step": 57
|
| 351 |
-
},
|
| 352 |
-
{
|
| 353 |
-
"epoch": 0.75,
|
| 354 |
-
"learning_rate": 1.9527751227228964e-05,
|
| 355 |
-
"loss": 0.9689,
|
| 356 |
-
"step": 58
|
| 357 |
-
},
|
| 358 |
-
{
|
| 359 |
-
"epoch": 0.76,
|
| 360 |
-
"learning_rate": 1.950622185753563e-05,
|
| 361 |
-
"loss": 0.9955,
|
| 362 |
-
"step": 59
|
| 363 |
-
},
|
| 364 |
-
{
|
| 365 |
-
"epoch": 0.78,
|
| 366 |
-
"learning_rate": 1.9484225021999032e-05,
|
| 367 |
-
"loss": 0.9633,
|
| 368 |
-
"step": 60
|
| 369 |
-
},
|
| 370 |
-
{
|
| 371 |
-
"epoch": 0.79,
|
| 372 |
-
"learning_rate": 1.9461761802307494e-05,
|
| 373 |
-
"loss": 0.966,
|
| 374 |
-
"step": 61
|
| 375 |
-
},
|
| 376 |
-
{
|
| 377 |
-
"epoch": 0.8,
|
| 378 |
-
"learning_rate": 1.9438833303083677e-05,
|
| 379 |
-
"loss": 0.9962,
|
| 380 |
-
"step": 62
|
| 381 |
-
},
|
| 382 |
-
{
|
| 383 |
-
"epoch": 0.81,
|
| 384 |
-
"learning_rate": 1.941544065183021e-05,
|
| 385 |
-
"loss": 1.0164,
|
| 386 |
-
"step": 63
|
| 387 |
-
},
|
| 388 |
-
{
|
| 389 |
-
"epoch": 0.83,
|
| 390 |
-
"learning_rate": 1.939158499887428e-05,
|
| 391 |
-
"loss": 0.9462,
|
| 392 |
-
"step": 64
|
| 393 |
-
},
|
| 394 |
-
{
|
| 395 |
-
"epoch": 0.84,
|
| 396 |
-
"learning_rate": 1.9367267517311057e-05,
|
| 397 |
-
"loss": 1.0057,
|
| 398 |
-
"step": 65
|
| 399 |
-
},
|
| 400 |
-
{
|
| 401 |
-
"epoch": 0.85,
|
| 402 |
-
"learning_rate": 1.9342489402945997e-05,
|
| 403 |
-
"loss": 0.9601,
|
| 404 |
-
"step": 66
|
| 405 |
-
},
|
| 406 |
-
{
|
| 407 |
-
"epoch": 0.87,
|
| 408 |
-
"learning_rate": 1.9317251874236066e-05,
|
| 409 |
-
"loss": 0.9497,
|
| 410 |
-
"step": 67
|
| 411 |
-
},
|
| 412 |
-
{
|
| 413 |
-
"epoch": 0.88,
|
| 414 |
-
"learning_rate": 1.9291556172229784e-05,
|
| 415 |
-
"loss": 1.0107,
|
| 416 |
-
"step": 68
|
| 417 |
-
},
|
| 418 |
-
{
|
| 419 |
-
"epoch": 0.89,
|
| 420 |
-
"learning_rate": 1.9265403560506223e-05,
|
| 421 |
-
"loss": 0.951,
|
| 422 |
-
"step": 69
|
| 423 |
-
},
|
| 424 |
-
{
|
| 425 |
-
"epoch": 0.9,
|
| 426 |
-
"learning_rate": 1.9238795325112867e-05,
|
| 427 |
-
"loss": 0.9485,
|
| 428 |
-
"step": 70
|
| 429 |
-
},
|
| 430 |
-
{
|
| 431 |
-
"epoch": 0.92,
|
| 432 |
-
"learning_rate": 1.9211732774502372e-05,
|
| 433 |
-
"loss": 0.9925,
|
| 434 |
-
"step": 71
|
| 435 |
-
},
|
| 436 |
-
{
|
| 437 |
-
"epoch": 0.93,
|
| 438 |
-
"learning_rate": 1.9184217239468213e-05,
|
| 439 |
-
"loss": 0.9399,
|
| 440 |
-
"step": 72
|
| 441 |
-
},
|
| 442 |
-
{
|
| 443 |
-
"epoch": 0.94,
|
| 444 |
-
"learning_rate": 1.915625007307925e-05,
|
| 445 |
-
"loss": 0.9579,
|
| 446 |
-
"step": 73
|
| 447 |
-
},
|
| 448 |
-
{
|
| 449 |
-
"epoch": 0.96,
|
| 450 |
-
"learning_rate": 1.912783265061319e-05,
|
| 451 |
-
"loss": 0.9431,
|
| 452 |
-
"step": 74
|
| 453 |
-
},
|
| 454 |
-
{
|
| 455 |
-
"epoch": 0.97,
|
| 456 |
-
"learning_rate": 1.9098966369488967e-05,
|
| 457 |
-
"loss": 0.9758,
|
| 458 |
-
"step": 75
|
| 459 |
-
},
|
| 460 |
-
{
|
| 461 |
-
"epoch": 0.98,
|
| 462 |
-
"learning_rate": 1.9069652649198004e-05,
|
| 463 |
-
"loss": 0.9403,
|
| 464 |
-
"step": 76
|
| 465 |
-
},
|
| 466 |
-
{
|
| 467 |
-
"epoch": 1.0,
|
| 468 |
-
"learning_rate": 1.9039892931234434e-05,
|
| 469 |
-
"loss": 0.9434,
|
| 470 |
-
"step": 77
|
| 471 |
-
},
|
| 472 |
-
{
|
| 473 |
-
"epoch": 1.01,
|
| 474 |
-
"learning_rate": 1.900968867902419e-05,
|
| 475 |
-
"loss": 0.9028,
|
| 476 |
-
"step": 78
|
| 477 |
-
},
|
| 478 |
-
{
|
| 479 |
-
"epoch": 1.02,
|
| 480 |
-
"learning_rate": 1.8979041377853068e-05,
|
| 481 |
-
"loss": 0.8579,
|
| 482 |
-
"step": 79
|
| 483 |
-
},
|
| 484 |
-
{
|
| 485 |
-
"epoch": 1.03,
|
| 486 |
-
"learning_rate": 1.8947952534793663e-05,
|
| 487 |
-
"loss": 0.8575,
|
| 488 |
-
"step": 80
|
| 489 |
-
},
|
| 490 |
-
{
|
| 491 |
-
"epoch": 1.05,
|
| 492 |
-
"learning_rate": 1.891642367863127e-05,
|
| 493 |
-
"loss": 0.8453,
|
| 494 |
-
"step": 81
|
| 495 |
-
},
|
| 496 |
-
{
|
| 497 |
-
"epoch": 1.06,
|
| 498 |
-
"learning_rate": 1.8884456359788725e-05,
|
| 499 |
-
"loss": 0.8504,
|
| 500 |
-
"step": 82
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 1.07,
|
| 504 |
-
"learning_rate": 1.8852052150250123e-05,
|
| 505 |
-
"loss": 0.8479,
|
| 506 |
-
"step": 83
|
| 507 |
-
},
|
| 508 |
-
{
|
| 509 |
-
"epoch": 1.09,
|
| 510 |
-
"learning_rate": 1.881921264348355e-05,
|
| 511 |
-
"loss": 0.8473,
|
| 512 |
-
"step": 84
|
| 513 |
-
},
|
| 514 |
-
{
|
| 515 |
-
"epoch": 1.1,
|
| 516 |
-
"learning_rate": 1.878593945436272e-05,
|
| 517 |
-
"loss": 0.8223,
|
| 518 |
-
"step": 85
|
| 519 |
-
},
|
| 520 |
-
{
|
| 521 |
-
"epoch": 1.11,
|
| 522 |
-
"learning_rate": 1.8752234219087538e-05,
|
| 523 |
-
"loss": 0.8424,
|
| 524 |
-
"step": 86
|
| 525 |
-
},
|
| 526 |
-
{
|
| 527 |
-
"epoch": 1.12,
|
| 528 |
-
"learning_rate": 1.871809859510368e-05,
|
| 529 |
-
"loss": 0.8525,
|
| 530 |
-
"step": 87
|
| 531 |
-
},
|
| 532 |
-
{
|
| 533 |
-
"epoch": 1.14,
|
| 534 |
-
"learning_rate": 1.8683534261021058e-05,
|
| 535 |
-
"loss": 0.8561,
|
| 536 |
-
"step": 88
|
| 537 |
-
},
|
| 538 |
-
{
|
| 539 |
-
"epoch": 1.15,
|
| 540 |
-
"learning_rate": 1.8648542916531283e-05,
|
| 541 |
-
"loss": 0.8301,
|
| 542 |
-
"step": 89
|
| 543 |
-
},
|
| 544 |
-
{
|
| 545 |
-
"epoch": 1.16,
|
| 546 |
-
"learning_rate": 1.8613126282324092e-05,
|
| 547 |
-
"loss": 0.8174,
|
| 548 |
-
"step": 90
|
| 549 |
-
},
|
| 550 |
-
{
|
| 551 |
-
"epoch": 1.18,
|
| 552 |
-
"learning_rate": 1.8577286100002723e-05,
|
| 553 |
-
"loss": 0.8228,
|
| 554 |
-
"step": 91
|
| 555 |
-
},
|
| 556 |
-
{
|
| 557 |
-
"epoch": 1.19,
|
| 558 |
-
"learning_rate": 1.8541024131998277e-05,
|
| 559 |
-
"loss": 0.8189,
|
| 560 |
-
"step": 92
|
| 561 |
-
},
|
| 562 |
-
{
|
| 563 |
-
"epoch": 1.2,
|
| 564 |
-
"learning_rate": 1.850434216148305e-05,
|
| 565 |
-
"loss": 0.804,
|
| 566 |
-
"step": 93
|
| 567 |
-
},
|
| 568 |
-
{
|
| 569 |
-
"epoch": 1.21,
|
| 570 |
-
"learning_rate": 1.8467241992282842e-05,
|
| 571 |
-
"loss": 0.8368,
|
| 572 |
-
"step": 94
|
| 573 |
-
},
|
| 574 |
-
{
|
| 575 |
-
"epoch": 1.23,
|
| 576 |
-
"learning_rate": 1.8429725448788267e-05,
|
| 577 |
-
"loss": 0.8353,
|
| 578 |
-
"step": 95
|
| 579 |
-
},
|
| 580 |
-
{
|
| 581 |
-
"epoch": 1.24,
|
| 582 |
-
"learning_rate": 1.8391794375865025e-05,
|
| 583 |
-
"loss": 0.8153,
|
| 584 |
-
"step": 96
|
| 585 |
-
},
|
| 586 |
-
{
|
| 587 |
-
"epoch": 1.25,
|
| 588 |
-
"learning_rate": 1.8353450638763178e-05,
|
| 589 |
-
"loss": 0.778,
|
| 590 |
-
"step": 97
|
| 591 |
-
},
|
| 592 |
-
{
|
| 593 |
-
"epoch": 1.27,
|
| 594 |
-
"learning_rate": 1.8314696123025456e-05,
|
| 595 |
-
"loss": 0.8143,
|
| 596 |
-
"step": 98
|
| 597 |
-
},
|
| 598 |
-
{
|
| 599 |
-
"epoch": 1.28,
|
| 600 |
-
"learning_rate": 1.827553273439449e-05,
|
| 601 |
-
"loss": 0.8126,
|
| 602 |
-
"step": 99
|
| 603 |
-
},
|
| 604 |
-
{
|
| 605 |
-
"epoch": 1.29,
|
| 606 |
-
"learning_rate": 1.823596239871915e-05,
|
| 607 |
-
"loss": 0.7918,
|
| 608 |
-
"step": 100
|
| 609 |
-
},
|
| 610 |
-
{
|
| 611 |
-
"epoch": 1.31,
|
| 612 |
-
"learning_rate": 1.819598706185979e-05,
|
| 613 |
-
"loss": 0.8084,
|
| 614 |
-
"step": 101
|
| 615 |
-
},
|
| 616 |
-
{
|
| 617 |
-
"epoch": 1.32,
|
| 618 |
-
"learning_rate": 1.8155608689592604e-05,
|
| 619 |
-
"loss": 0.8166,
|
| 620 |
-
"step": 102
|
| 621 |
-
},
|
| 622 |
-
{
|
| 623 |
-
"epoch": 1.33,
|
| 624 |
-
"learning_rate": 1.811482926751293e-05,
|
| 625 |
-
"loss": 0.8211,
|
| 626 |
-
"step": 103
|
| 627 |
-
},
|
| 628 |
-
{
|
| 629 |
-
"epoch": 1.34,
|
| 630 |
-
"learning_rate": 1.8073650800937627e-05,
|
| 631 |
-
"loss": 0.83,
|
| 632 |
-
"step": 104
|
| 633 |
-
},
|
| 634 |
-
{
|
| 635 |
-
"epoch": 1.36,
|
| 636 |
-
"learning_rate": 1.803207531480645e-05,
|
| 637 |
-
"loss": 0.8166,
|
| 638 |
-
"step": 105
|
| 639 |
-
},
|
| 640 |
-
{
|
| 641 |
-
"epoch": 1.37,
|
| 642 |
-
"learning_rate": 1.7990104853582494e-05,
|
| 643 |
-
"loss": 0.8037,
|
| 644 |
-
"step": 106
|
| 645 |
-
},
|
| 646 |
-
{
|
| 647 |
-
"epoch": 1.38,
|
| 648 |
-
"learning_rate": 1.7947741481151628e-05,
|
| 649 |
-
"loss": 0.7819,
|
| 650 |
-
"step": 107
|
| 651 |
-
},
|
| 652 |
-
{
|
| 653 |
-
"epoch": 1.4,
|
| 654 |
-
"learning_rate": 1.7904987280721037e-05,
|
| 655 |
-
"loss": 0.781,
|
| 656 |
-
"step": 108
|
| 657 |
-
},
|
| 658 |
-
{
|
| 659 |
-
"epoch": 1.41,
|
| 660 |
-
"learning_rate": 1.7861844354716757e-05,
|
| 661 |
-
"loss": 0.8338,
|
| 662 |
-
"step": 109
|
| 663 |
-
},
|
| 664 |
-
{
|
| 665 |
-
"epoch": 1.42,
|
| 666 |
-
"learning_rate": 1.78183148246803e-05,
|
| 667 |
-
"loss": 0.8088,
|
| 668 |
-
"step": 110
|
| 669 |
-
},
|
| 670 |
-
{
|
| 671 |
-
"epoch": 1.43,
|
| 672 |
-
"learning_rate": 1.777440083116432e-05,
|
| 673 |
-
"loss": 0.7566,
|
| 674 |
-
"step": 111
|
| 675 |
-
},
|
| 676 |
-
{
|
| 677 |
-
"epoch": 1.45,
|
| 678 |
-
"learning_rate": 1.773010453362737e-05,
|
| 679 |
-
"loss": 0.786,
|
| 680 |
-
"step": 112
|
| 681 |
-
},
|
| 682 |
-
{
|
| 683 |
-
"epoch": 1.46,
|
| 684 |
-
"learning_rate": 1.7685428110327683e-05,
|
| 685 |
-
"loss": 0.787,
|
| 686 |
-
"step": 113
|
| 687 |
-
},
|
| 688 |
-
{
|
| 689 |
-
"epoch": 1.47,
|
| 690 |
-
"learning_rate": 1.7640373758216075e-05,
|
| 691 |
-
"loss": 0.7889,
|
| 692 |
-
"step": 114
|
| 693 |
-
},
|
| 694 |
-
{
|
| 695 |
-
"epoch": 1.49,
|
| 696 |
-
"learning_rate": 1.7594943692827913e-05,
|
| 697 |
-
"loss": 0.7934,
|
| 698 |
-
"step": 115
|
| 699 |
-
},
|
| 700 |
-
{
|
| 701 |
-
"epoch": 1.5,
|
| 702 |
-
"learning_rate": 1.754914014817416e-05,
|
| 703 |
-
"loss": 0.7853,
|
| 704 |
-
"step": 116
|
| 705 |
-
},
|
| 706 |
-
{
|
| 707 |
-
"epoch": 1.51,
|
| 708 |
-
"learning_rate": 1.7502965376631515e-05,
|
| 709 |
-
"loss": 0.807,
|
| 710 |
-
"step": 117
|
| 711 |
-
},
|
| 712 |
-
{
|
| 713 |
-
"epoch": 1.53,
|
| 714 |
-
"learning_rate": 1.7456421648831658e-05,
|
| 715 |
-
"loss": 0.7973,
|
| 716 |
-
"step": 118
|
| 717 |
-
},
|
| 718 |
-
{
|
| 719 |
-
"epoch": 1.54,
|
| 720 |
-
"learning_rate": 1.7409511253549592e-05,
|
| 721 |
-
"loss": 0.8228,
|
| 722 |
-
"step": 119
|
| 723 |
-
},
|
| 724 |
-
{
|
| 725 |
-
"epoch": 1.55,
|
| 726 |
-
"learning_rate": 1.7362236497591097e-05,
|
| 727 |
-
"loss": 0.7885,
|
| 728 |
-
"step": 120
|
| 729 |
-
},
|
| 730 |
-
{
|
| 731 |
-
"epoch": 1.56,
|
| 732 |
-
"learning_rate": 1.731459970567928e-05,
|
| 733 |
-
"loss": 0.7657,
|
| 734 |
-
"step": 121
|
| 735 |
-
},
|
| 736 |
-
{
|
| 737 |
-
"epoch": 1.58,
|
| 738 |
-
"learning_rate": 1.7266603220340273e-05,
|
| 739 |
-
"loss": 0.7701,
|
| 740 |
-
"step": 122
|
| 741 |
-
},
|
| 742 |
-
{
|
| 743 |
-
"epoch": 1.59,
|
| 744 |
-
"learning_rate": 1.7218249401788033e-05,
|
| 745 |
-
"loss": 0.7784,
|
| 746 |
-
"step": 123
|
| 747 |
-
},
|
| 748 |
-
{
|
| 749 |
-
"epoch": 1.6,
|
| 750 |
-
"learning_rate": 1.7169540627808276e-05,
|
| 751 |
-
"loss": 0.8019,
|
| 752 |
-
"step": 124
|
| 753 |
-
},
|
| 754 |
-
{
|
| 755 |
-
"epoch": 1.62,
|
| 756 |
-
"learning_rate": 1.7120479293641558e-05,
|
| 757 |
-
"loss": 0.7428,
|
| 758 |
-
"step": 125
|
| 759 |
-
},
|
| 760 |
-
{
|
| 761 |
-
"epoch": 1.63,
|
| 762 |
-
"learning_rate": 1.7071067811865477e-05,
|
| 763 |
-
"loss": 0.7482,
|
| 764 |
-
"step": 126
|
| 765 |
-
},
|
| 766 |
-
{
|
| 767 |
-
"epoch": 1.64,
|
| 768 |
-
"learning_rate": 1.7021308612276056e-05,
|
| 769 |
-
"loss": 0.7833,
|
| 770 |
-
"step": 127
|
| 771 |
-
},
|
| 772 |
-
{
|
| 773 |
-
"epoch": 1.65,
|
| 774 |
-
"learning_rate": 1.6971204141768235e-05,
|
| 775 |
-
"loss": 0.7865,
|
| 776 |
-
"step": 128
|
| 777 |
-
},
|
| 778 |
-
{
|
| 779 |
-
"epoch": 1.67,
|
| 780 |
-
"learning_rate": 1.6920756864215558e-05,
|
| 781 |
-
"loss": 0.7722,
|
| 782 |
-
"step": 129
|
| 783 |
-
},
|
| 784 |
-
{
|
| 785 |
-
"epoch": 1.68,
|
| 786 |
-
"learning_rate": 1.686996926034902e-05,
|
| 787 |
-
"loss": 0.7703,
|
| 788 |
-
"step": 130
|
| 789 |
-
},
|
| 790 |
-
{
|
| 791 |
-
"epoch": 1.69,
|
| 792 |
-
"learning_rate": 1.6818843827635052e-05,
|
| 793 |
-
"loss": 0.7667,
|
| 794 |
-
"step": 131
|
| 795 |
-
},
|
| 796 |
-
{
|
| 797 |
-
"epoch": 1.71,
|
| 798 |
-
"learning_rate": 1.6767383080152744e-05,
|
| 799 |
-
"loss": 0.7361,
|
| 800 |
-
"step": 132
|
| 801 |
-
},
|
| 802 |
-
{
|
| 803 |
-
"epoch": 1.72,
|
| 804 |
-
"learning_rate": 1.6715589548470187e-05,
|
| 805 |
-
"loss": 0.8037,
|
| 806 |
-
"step": 133
|
| 807 |
-
},
|
| 808 |
-
{
|
| 809 |
-
"epoch": 1.73,
|
| 810 |
-
"learning_rate": 1.6663465779520042e-05,
|
| 811 |
-
"loss": 0.7281,
|
| 812 |
-
"step": 134
|
| 813 |
-
},
|
| 814 |
-
{
|
| 815 |
-
"epoch": 1.74,
|
| 816 |
-
"learning_rate": 1.6611014336474303e-05,
|
| 817 |
-
"loss": 0.7402,
|
| 818 |
-
"step": 135
|
| 819 |
-
},
|
| 820 |
-
{
|
| 821 |
-
"epoch": 1.76,
|
| 822 |
-
"learning_rate": 1.6558237798618243e-05,
|
| 823 |
-
"loss": 0.7343,
|
| 824 |
-
"step": 136
|
| 825 |
-
},
|
| 826 |
-
{
|
| 827 |
-
"epoch": 1.77,
|
| 828 |
-
"learning_rate": 1.6505138761223586e-05,
|
| 829 |
-
"loss": 0.7379,
|
| 830 |
-
"step": 137
|
| 831 |
-
},
|
| 832 |
-
{
|
| 833 |
-
"epoch": 1.78,
|
| 834 |
-
"learning_rate": 1.645171983542088e-05,
|
| 835 |
-
"loss": 0.7296,
|
| 836 |
-
"step": 138
|
| 837 |
-
},
|
| 838 |
-
{
|
| 839 |
-
"epoch": 1.8,
|
| 840 |
-
"learning_rate": 1.6397983648071093e-05,
|
| 841 |
-
"loss": 0.7136,
|
| 842 |
-
"step": 139
|
| 843 |
-
},
|
| 844 |
-
{
|
| 845 |
-
"epoch": 1.81,
|
| 846 |
-
"learning_rate": 1.6343932841636455e-05,
|
| 847 |
-
"loss": 0.7394,
|
| 848 |
-
"step": 140
|
| 849 |
-
},
|
| 850 |
-
{
|
| 851 |
-
"epoch": 1.82,
|
| 852 |
-
"learning_rate": 1.6289570074050492e-05,
|
| 853 |
-
"loss": 0.7298,
|
| 854 |
-
"step": 141
|
| 855 |
-
},
|
| 856 |
-
{
|
| 857 |
-
"epoch": 1.84,
|
| 858 |
-
"learning_rate": 1.6234898018587336e-05,
|
| 859 |
-
"loss": 0.7253,
|
| 860 |
-
"step": 142
|
| 861 |
-
},
|
| 862 |
-
{
|
| 863 |
-
"epoch": 1.85,
|
| 864 |
-
"learning_rate": 1.617991936373027e-05,
|
| 865 |
-
"loss": 0.7967,
|
| 866 |
-
"step": 143
|
| 867 |
-
},
|
| 868 |
-
{
|
| 869 |
-
"epoch": 1.86,
|
| 870 |
-
"learning_rate": 1.6124636813039502e-05,
|
| 871 |
-
"loss": 0.6995,
|
| 872 |
-
"step": 144
|
| 873 |
-
},
|
| 874 |
-
{
|
| 875 |
-
"epoch": 1.87,
|
| 876 |
-
"learning_rate": 1.6069053085019258e-05,
|
| 877 |
-
"loss": 0.7193,
|
| 878 |
-
"step": 145
|
| 879 |
-
},
|
| 880 |
-
{
|
| 881 |
-
"epoch": 1.89,
|
| 882 |
-
"learning_rate": 1.601317091298406e-05,
|
| 883 |
-
"loss": 0.7227,
|
| 884 |
-
"step": 146
|
| 885 |
-
},
|
| 886 |
-
{
|
| 887 |
-
"epoch": 1.9,
|
| 888 |
-
"learning_rate": 1.5956993044924334e-05,
|
| 889 |
-
"loss": 0.7113,
|
| 890 |
-
"step": 147
|
| 891 |
-
},
|
| 892 |
-
{
|
| 893 |
-
"epoch": 1.91,
|
| 894 |
-
"learning_rate": 1.5900522243371283e-05,
|
| 895 |
-
"loss": 0.7434,
|
| 896 |
-
"step": 148
|
| 897 |
-
},
|
| 898 |
-
{
|
| 899 |
-
"epoch": 1.93,
|
| 900 |
-
"learning_rate": 1.5843761285261027e-05,
|
| 901 |
-
"loss": 0.7252,
|
| 902 |
-
"step": 149
|
| 903 |
-
},
|
| 904 |
-
{
|
| 905 |
-
"epoch": 1.94,
|
| 906 |
-
"learning_rate": 1.578671296179806e-05,
|
| 907 |
-
"loss": 0.7414,
|
| 908 |
-
"step": 150
|
| 909 |
-
},
|
| 910 |
-
{
|
| 911 |
-
"epoch": 1.95,
|
| 912 |
-
"learning_rate": 1.5729380078317982e-05,
|
| 913 |
-
"loss": 0.6879,
|
| 914 |
-
"step": 151
|
| 915 |
-
},
|
| 916 |
-
{
|
| 917 |
-
"epoch": 1.96,
|
| 918 |
-
"learning_rate": 1.5671765454149558e-05,
|
| 919 |
-
"loss": 0.7181,
|
| 920 |
-
"step": 152
|
| 921 |
-
},
|
| 922 |
-
{
|
| 923 |
-
"epoch": 1.98,
|
| 924 |
-
"learning_rate": 1.5613871922476082e-05,
|
| 925 |
-
"loss": 0.6852,
|
| 926 |
-
"step": 153
|
| 927 |
-
},
|
| 928 |
-
{
|
| 929 |
-
"epoch": 1.99,
|
| 930 |
-
"learning_rate": 1.5555702330196024e-05,
|
| 931 |
-
"loss": 0.7135,
|
| 932 |
-
"step": 154
|
| 933 |
-
},
|
| 934 |
-
{
|
| 935 |
-
"epoch": 2.0,
|
| 936 |
-
"learning_rate": 1.5497259537783084e-05,
|
| 937 |
-
"loss": 0.682,
|
| 938 |
-
"step": 155
|
| 939 |
-
},
|
| 940 |
-
{
|
| 941 |
-
"epoch": 2.02,
|
| 942 |
-
"learning_rate": 1.543854641914549e-05,
|
| 943 |
-
"loss": 0.4981,
|
| 944 |
-
"step": 156
|
| 945 |
-
},
|
| 946 |
-
{
|
| 947 |
-
"epoch": 2.03,
|
| 948 |
-
"learning_rate": 1.537956586148469e-05,
|
| 949 |
-
"loss": 0.4879,
|
| 950 |
-
"step": 157
|
| 951 |
-
},
|
| 952 |
-
{
|
| 953 |
-
"epoch": 2.04,
|
| 954 |
-
"learning_rate": 1.5320320765153367e-05,
|
| 955 |
-
"loss": 0.4878,
|
| 956 |
-
"step": 158
|
| 957 |
-
},
|
| 958 |
-
{
|
| 959 |
-
"epoch": 2.05,
|
| 960 |
-
"learning_rate": 1.5260814043512838e-05,
|
| 961 |
-
"loss": 0.4754,
|
| 962 |
-
"step": 159
|
| 963 |
-
},
|
| 964 |
-
{
|
| 965 |
-
"epoch": 2.07,
|
| 966 |
-
"learning_rate": 1.5201048622789747e-05,
|
| 967 |
-
"loss": 0.4727,
|
| 968 |
-
"step": 160
|
| 969 |
-
},
|
| 970 |
-
{
|
| 971 |
-
"epoch": 2.08,
|
| 972 |
-
"learning_rate": 1.5141027441932217e-05,
|
| 973 |
-
"loss": 0.4714,
|
| 974 |
-
"step": 161
|
| 975 |
-
},
|
| 976 |
-
{
|
| 977 |
-
"epoch": 2.09,
|
| 978 |
-
"learning_rate": 1.5080753452465296e-05,
|
| 979 |
-
"loss": 0.4644,
|
| 980 |
-
"step": 162
|
| 981 |
-
},
|
| 982 |
-
{
|
| 983 |
-
"epoch": 2.11,
|
| 984 |
-
"learning_rate": 1.502022961834582e-05,
|
| 985 |
-
"loss": 0.4727,
|
| 986 |
-
"step": 163
|
| 987 |
-
},
|
| 988 |
-
{
|
| 989 |
-
"epoch": 2.12,
|
| 990 |
-
"learning_rate": 1.4959458915816681e-05,
|
| 991 |
-
"loss": 0.4385,
|
| 992 |
-
"step": 164
|
| 993 |
-
},
|
| 994 |
-
{
|
| 995 |
-
"epoch": 2.13,
|
| 996 |
-
"learning_rate": 1.4898444333260436e-05,
|
| 997 |
-
"loss": 0.4349,
|
| 998 |
-
"step": 165
|
| 999 |
-
},
|
| 1000 |
-
{
|
| 1001 |
-
"epoch": 2.15,
|
| 1002 |
-
"learning_rate": 1.4837188871052399e-05,
|
| 1003 |
-
"loss": 0.4708,
|
| 1004 |
-
"step": 166
|
| 1005 |
-
},
|
| 1006 |
-
{
|
| 1007 |
-
"epoch": 2.16,
|
| 1008 |
-
"learning_rate": 1.4775695541413063e-05,
|
| 1009 |
-
"loss": 0.435,
|
| 1010 |
-
"step": 167
|
| 1011 |
-
},
|
| 1012 |
-
{
|
| 1013 |
-
"epoch": 2.17,
|
| 1014 |
-
"learning_rate": 1.4713967368259981e-05,
|
| 1015 |
-
"loss": 0.4391,
|
| 1016 |
-
"step": 168
|
| 1017 |
-
},
|
| 1018 |
-
{
|
| 1019 |
-
"epoch": 2.18,
|
| 1020 |
-
"learning_rate": 1.4652007387059077e-05,
|
| 1021 |
-
"loss": 0.4417,
|
| 1022 |
-
"step": 169
|
| 1023 |
-
},
|
| 1024 |
-
{
|
| 1025 |
-
"epoch": 2.2,
|
| 1026 |
-
"learning_rate": 1.4589818644675378e-05,
|
| 1027 |
-
"loss": 0.4331,
|
| 1028 |
-
"step": 170
|
| 1029 |
-
},
|
| 1030 |
-
{
|
| 1031 |
-
"epoch": 2.21,
|
| 1032 |
-
"learning_rate": 1.4527404199223173e-05,
|
| 1033 |
-
"loss": 0.4214,
|
| 1034 |
-
"step": 171
|
| 1035 |
-
},
|
| 1036 |
-
{
|
| 1037 |
-
"epoch": 2.22,
|
| 1038 |
-
"learning_rate": 1.446476711991563e-05,
|
| 1039 |
-
"loss": 0.4067,
|
| 1040 |
-
"step": 172
|
| 1041 |
-
},
|
| 1042 |
-
{
|
| 1043 |
-
"epoch": 2.24,
|
| 1044 |
-
"learning_rate": 1.4401910486913892e-05,
|
| 1045 |
-
"loss": 0.4371,
|
| 1046 |
-
"step": 173
|
| 1047 |
-
},
|
| 1048 |
-
{
|
| 1049 |
-
"epoch": 2.25,
|
| 1050 |
-
"learning_rate": 1.4338837391175582e-05,
|
| 1051 |
-
"loss": 0.4318,
|
| 1052 |
-
"step": 174
|
| 1053 |
-
},
|
| 1054 |
-
{
|
| 1055 |
-
"epoch": 2.26,
|
| 1056 |
-
"learning_rate": 1.4275550934302822e-05,
|
| 1057 |
-
"loss": 0.4215,
|
| 1058 |
-
"step": 175
|
| 1059 |
-
},
|
| 1060 |
-
{
|
| 1061 |
-
"epoch": 2.27,
|
| 1062 |
-
"learning_rate": 1.4212054228389712e-05,
|
| 1063 |
-
"loss": 0.4312,
|
| 1064 |
-
"step": 176
|
| 1065 |
-
},
|
| 1066 |
-
{
|
| 1067 |
-
"epoch": 2.29,
|
| 1068 |
-
"learning_rate": 1.4148350395869279e-05,
|
| 1069 |
-
"loss": 0.4097,
|
| 1070 |
-
"step": 177
|
| 1071 |
-
},
|
| 1072 |
-
{
|
| 1073 |
-
"epoch": 2.3,
|
| 1074 |
-
"learning_rate": 1.4084442569359964e-05,
|
| 1075 |
-
"loss": 0.4094,
|
| 1076 |
-
"step": 178
|
| 1077 |
-
},
|
| 1078 |
-
{
|
| 1079 |
-
"epoch": 2.31,
|
| 1080 |
-
"learning_rate": 1.4020333891511536e-05,
|
| 1081 |
-
"loss": 0.4075,
|
| 1082 |
-
"step": 179
|
| 1083 |
-
},
|
| 1084 |
-
{
|
| 1085 |
-
"epoch": 2.33,
|
| 1086 |
-
"learning_rate": 1.395602751485059e-05,
|
| 1087 |
-
"loss": 0.4258,
|
| 1088 |
-
"step": 180
|
| 1089 |
-
},
|
| 1090 |
-
{
|
| 1091 |
-
"epoch": 2.34,
|
| 1092 |
-
"learning_rate": 1.3891526601625492e-05,
|
| 1093 |
-
"loss": 0.3956,
|
| 1094 |
-
"step": 181
|
| 1095 |
-
},
|
| 1096 |
-
{
|
| 1097 |
-
"epoch": 2.35,
|
| 1098 |
-
"learning_rate": 1.3826834323650899e-05,
|
| 1099 |
-
"loss": 0.3987,
|
| 1100 |
-
"step": 182
|
| 1101 |
-
},
|
| 1102 |
-
{
|
| 1103 |
-
"epoch": 2.37,
|
| 1104 |
-
"learning_rate": 1.3761953862151773e-05,
|
| 1105 |
-
"loss": 0.3987,
|
| 1106 |
-
"step": 183
|
| 1107 |
-
},
|
| 1108 |
-
{
|
| 1109 |
-
"epoch": 2.38,
|
| 1110 |
-
"learning_rate": 1.3696888407606952e-05,
|
| 1111 |
-
"loss": 0.3704,
|
| 1112 |
-
"step": 184
|
| 1113 |
-
},
|
| 1114 |
-
{
|
| 1115 |
-
"epoch": 2.39,
|
| 1116 |
-
"learning_rate": 1.3631641159592253e-05,
|
| 1117 |
-
"loss": 0.4014,
|
| 1118 |
-
"step": 185
|
| 1119 |
-
},
|
| 1120 |
-
{
|
| 1121 |
-
"epoch": 2.4,
|
| 1122 |
-
"learning_rate": 1.3566215326623131e-05,
|
| 1123 |
-
"loss": 0.4135,
|
| 1124 |
-
"step": 186
|
| 1125 |
-
},
|
| 1126 |
-
{
|
| 1127 |
-
"epoch": 2.42,
|
| 1128 |
-
"learning_rate": 1.3500614125996924e-05,
|
| 1129 |
-
"loss": 0.3753,
|
| 1130 |
-
"step": 187
|
| 1131 |
-
},
|
| 1132 |
-
{
|
| 1133 |
-
"epoch": 2.43,
|
| 1134 |
-
"learning_rate": 1.3434840783634611e-05,
|
| 1135 |
-
"loss": 0.3808,
|
| 1136 |
-
"step": 188
|
| 1137 |
-
},
|
| 1138 |
-
{
|
| 1139 |
-
"epoch": 2.44,
|
| 1140 |
-
"learning_rate": 1.3368898533922202e-05,
|
| 1141 |
-
"loss": 0.3618,
|
| 1142 |
-
"step": 189
|
| 1143 |
-
},
|
| 1144 |
-
{
|
| 1145 |
-
"epoch": 2.46,
|
| 1146 |
-
"learning_rate": 1.3302790619551673e-05,
|
| 1147 |
-
"loss": 0.3765,
|
| 1148 |
-
"step": 190
|
| 1149 |
-
},
|
| 1150 |
-
{
|
| 1151 |
-
"epoch": 2.47,
|
| 1152 |
-
"learning_rate": 1.3236520291361516e-05,
|
| 1153 |
-
"loss": 0.3512,
|
| 1154 |
-
"step": 191
|
| 1155 |
-
},
|
| 1156 |
-
{
|
| 1157 |
-
"epoch": 2.48,
|
| 1158 |
-
"learning_rate": 1.3170090808176883e-05,
|
| 1159 |
-
"loss": 0.3367,
|
| 1160 |
-
"step": 192
|
| 1161 |
-
},
|
| 1162 |
-
{
|
| 1163 |
-
"epoch": 2.49,
|
| 1164 |
-
"learning_rate": 1.310350543664932e-05,
|
| 1165 |
-
"loss": 0.3799,
|
| 1166 |
-
"step": 193
|
| 1167 |
-
},
|
| 1168 |
-
{
|
| 1169 |
-
"epoch": 2.51,
|
| 1170 |
-
"learning_rate": 1.3036767451096148e-05,
|
| 1171 |
-
"loss": 0.3589,
|
| 1172 |
-
"step": 194
|
| 1173 |
-
},
|
| 1174 |
-
{
|
| 1175 |
-
"epoch": 2.52,
|
| 1176 |
-
"learning_rate": 1.2969880133339437e-05,
|
| 1177 |
-
"loss": 0.3658,
|
| 1178 |
-
"step": 195
|
| 1179 |
-
},
|
| 1180 |
-
{
|
| 1181 |
-
"epoch": 2.53,
|
| 1182 |
-
"learning_rate": 1.2902846772544625e-05,
|
| 1183 |
-
"loss": 0.3567,
|
| 1184 |
-
"step": 196
|
| 1185 |
-
},
|
| 1186 |
-
{
|
| 1187 |
-
"epoch": 2.55,
|
| 1188 |
-
"learning_rate": 1.2835670665058779e-05,
|
| 1189 |
-
"loss": 0.3312,
|
| 1190 |
-
"step": 197
|
| 1191 |
-
},
|
| 1192 |
-
{
|
| 1193 |
-
"epoch": 2.56,
|
| 1194 |
-
"learning_rate": 1.2768355114248493e-05,
|
| 1195 |
-
"loss": 0.3518,
|
| 1196 |
-
"step": 198
|
| 1197 |
-
},
|
| 1198 |
-
{
|
| 1199 |
-
"epoch": 2.57,
|
| 1200 |
-
"learning_rate": 1.2700903430337456e-05,
|
| 1201 |
-
"loss": 0.3588,
|
| 1202 |
-
"step": 199
|
| 1203 |
-
},
|
| 1204 |
-
{
|
| 1205 |
-
"epoch": 2.58,
|
| 1206 |
-
"learning_rate": 1.2633318930243647e-05,
|
| 1207 |
-
"loss": 0.3709,
|
| 1208 |
-
"step": 200
|
| 1209 |
-
},
|
| 1210 |
-
{
|
| 1211 |
-
"epoch": 2.6,
|
| 1212 |
-
"learning_rate": 1.2565604937416267e-05,
|
| 1213 |
-
"loss": 0.3446,
|
| 1214 |
-
"step": 201
|
| 1215 |
-
},
|
| 1216 |
-
{
|
| 1217 |
-
"epoch": 2.61,
|
| 1218 |
-
"learning_rate": 1.249776478167227e-05,
|
| 1219 |
-
"loss": 0.363,
|
| 1220 |
-
"step": 202
|
| 1221 |
-
},
|
| 1222 |
-
{
|
| 1223 |
-
"epoch": 2.62,
|
| 1224 |
-
"learning_rate": 1.242980179903264e-05,
|
| 1225 |
-
"loss": 0.3603,
|
| 1226 |
-
"step": 203
|
| 1227 |
-
},
|
| 1228 |
-
{
|
| 1229 |
-
"epoch": 2.64,
|
| 1230 |
-
"learning_rate": 1.2361719331558346e-05,
|
| 1231 |
-
"loss": 0.3517,
|
| 1232 |
-
"step": 204
|
| 1233 |
-
},
|
| 1234 |
-
{
|
| 1235 |
-
"epoch": 2.65,
|
| 1236 |
-
"learning_rate": 1.229352072718598e-05,
|
| 1237 |
-
"loss": 0.3329,
|
| 1238 |
-
"step": 205
|
| 1239 |
-
},
|
| 1240 |
-
{
|
| 1241 |
-
"epoch": 2.66,
|
| 1242 |
-
"learning_rate": 1.2225209339563144e-05,
|
| 1243 |
-
"loss": 0.3441,
|
| 1244 |
-
"step": 206
|
| 1245 |
-
},
|
| 1246 |
-
{
|
| 1247 |
-
"epoch": 2.68,
|
| 1248 |
-
"learning_rate": 1.2156788527883524e-05,
|
| 1249 |
-
"loss": 0.335,
|
| 1250 |
-
"step": 207
|
| 1251 |
-
},
|
| 1252 |
-
{
|
| 1253 |
-
"epoch": 2.69,
|
| 1254 |
-
"learning_rate": 1.20882616567217e-05,
|
| 1255 |
-
"loss": 0.3259,
|
| 1256 |
-
"step": 208
|
| 1257 |
-
},
|
| 1258 |
-
{
|
| 1259 |
-
"epoch": 2.7,
|
| 1260 |
-
"learning_rate": 1.2019632095867697e-05,
|
| 1261 |
-
"loss": 0.296,
|
| 1262 |
-
"step": 209
|
| 1263 |
-
},
|
| 1264 |
-
{
|
| 1265 |
-
"epoch": 2.71,
|
| 1266 |
-
"learning_rate": 1.1950903220161286e-05,
|
| 1267 |
-
"loss": 0.321,
|
| 1268 |
-
"step": 210
|
| 1269 |
-
},
|
| 1270 |
-
{
|
| 1271 |
-
"epoch": 2.73,
|
| 1272 |
-
"learning_rate": 1.1882078409326003e-05,
|
| 1273 |
-
"loss": 0.3059,
|
| 1274 |
-
"step": 211
|
| 1275 |
-
},
|
| 1276 |
-
{
|
| 1277 |
-
"epoch": 2.74,
|
| 1278 |
-
"learning_rate": 1.1813161047802986e-05,
|
| 1279 |
-
"loss": 0.2979,
|
| 1280 |
-
"step": 212
|
| 1281 |
-
},
|
| 1282 |
-
{
|
| 1283 |
-
"epoch": 2.75,
|
| 1284 |
-
"learning_rate": 1.174415452458451e-05,
|
| 1285 |
-
"loss": 0.281,
|
| 1286 |
-
"step": 213
|
| 1287 |
-
},
|
| 1288 |
-
{
|
| 1289 |
-
"epoch": 2.77,
|
| 1290 |
-
"learning_rate": 1.1675062233047365e-05,
|
| 1291 |
-
"loss": 0.3029,
|
| 1292 |
-
"step": 214
|
| 1293 |
-
},
|
| 1294 |
-
{
|
| 1295 |
-
"epoch": 2.78,
|
| 1296 |
-
"learning_rate": 1.1605887570785972e-05,
|
| 1297 |
-
"loss": 0.3045,
|
| 1298 |
-
"step": 215
|
| 1299 |
-
},
|
| 1300 |
-
{
|
| 1301 |
-
"epoch": 2.79,
|
| 1302 |
-
"learning_rate": 1.1536633939445302e-05,
|
| 1303 |
-
"loss": 0.2989,
|
| 1304 |
-
"step": 216
|
| 1305 |
-
},
|
| 1306 |
-
{
|
| 1307 |
-
"epoch": 2.8,
|
| 1308 |
-
"learning_rate": 1.1467304744553618e-05,
|
| 1309 |
-
"loss": 0.2804,
|
| 1310 |
-
"step": 217
|
| 1311 |
-
},
|
| 1312 |
-
{
|
| 1313 |
-
"epoch": 2.82,
|
| 1314 |
-
"learning_rate": 1.1397903395354996e-05,
|
| 1315 |
-
"loss": 0.2852,
|
| 1316 |
-
"step": 218
|
| 1317 |
-
},
|
| 1318 |
-
{
|
| 1319 |
-
"epoch": 2.83,
|
| 1320 |
-
"learning_rate": 1.132843330464168e-05,
|
| 1321 |
-
"loss": 0.248,
|
| 1322 |
-
"step": 219
|
| 1323 |
-
},
|
| 1324 |
-
{
|
| 1325 |
-
"epoch": 2.84,
|
| 1326 |
-
"learning_rate": 1.1258897888586256e-05,
|
| 1327 |
-
"loss": 0.2822,
|
| 1328 |
-
"step": 220
|
| 1329 |
-
},
|
| 1330 |
-
{
|
| 1331 |
-
"epoch": 2.86,
|
| 1332 |
-
"learning_rate": 1.118930056657367e-05,
|
| 1333 |
-
"loss": 0.2713,
|
| 1334 |
-
"step": 221
|
| 1335 |
-
},
|
| 1336 |
-
{
|
| 1337 |
-
"epoch": 2.87,
|
| 1338 |
-
"learning_rate": 1.1119644761033079e-05,
|
| 1339 |
-
"loss": 0.2879,
|
| 1340 |
-
"step": 222
|
| 1341 |
-
},
|
| 1342 |
-
{
|
| 1343 |
-
"epoch": 2.88,
|
| 1344 |
-
"learning_rate": 1.1049933897269547e-05,
|
| 1345 |
-
"loss": 0.257,
|
| 1346 |
-
"step": 223
|
| 1347 |
-
},
|
| 1348 |
-
{
|
| 1349 |
-
"epoch": 2.89,
|
| 1350 |
-
"learning_rate": 1.098017140329561e-05,
|
| 1351 |
-
"loss": 0.2643,
|
| 1352 |
-
"step": 224
|
| 1353 |
-
},
|
| 1354 |
-
{
|
| 1355 |
-
"epoch": 2.91,
|
| 1356 |
-
"learning_rate": 1.0910360709662701e-05,
|
| 1357 |
-
"loss": 0.2694,
|
| 1358 |
-
"step": 225
|
| 1359 |
-
},
|
| 1360 |
-
{
|
| 1361 |
-
"epoch": 2.92,
|
| 1362 |
-
"learning_rate": 1.0840505249292477e-05,
|
| 1363 |
-
"loss": 0.2558,
|
| 1364 |
-
"step": 226
|
| 1365 |
-
},
|
| 1366 |
-
{
|
| 1367 |
-
"epoch": 2.93,
|
| 1368 |
-
"learning_rate": 1.0770608457307965e-05,
|
| 1369 |
-
"loss": 0.2547,
|
| 1370 |
-
"step": 227
|
| 1371 |
-
},
|
| 1372 |
-
{
|
| 1373 |
-
"epoch": 2.95,
|
| 1374 |
-
"learning_rate": 1.0700673770864673e-05,
|
| 1375 |
-
"loss": 0.2287,
|
| 1376 |
-
"step": 228
|
| 1377 |
-
},
|
| 1378 |
-
{
|
| 1379 |
-
"epoch": 2.96,
|
| 1380 |
-
"learning_rate": 1.0630704628981561e-05,
|
| 1381 |
-
"loss": 0.2441,
|
| 1382 |
-
"step": 229
|
| 1383 |
-
},
|
| 1384 |
-
{
|
| 1385 |
-
"epoch": 2.97,
|
| 1386 |
-
"learning_rate": 1.0560704472371919e-05,
|
| 1387 |
-
"loss": 0.2165,
|
| 1388 |
-
"step": 230
|
| 1389 |
-
},
|
| 1390 |
-
{
|
| 1391 |
-
"epoch": 2.99,
|
| 1392 |
-
"learning_rate": 1.0490676743274181e-05,
|
| 1393 |
-
"loss": 0.2302,
|
| 1394 |
-
"step": 231
|
| 1395 |
-
},
|
| 1396 |
-
{
|
| 1397 |
-
"epoch": 3.0,
|
| 1398 |
-
"learning_rate": 1.0420624885282653e-05,
|
| 1399 |
-
"loss": 0.2407,
|
| 1400 |
-
"step": 232
|
| 1401 |
-
},
|
| 1402 |
-
{
|
| 1403 |
-
"epoch": 3.01,
|
| 1404 |
-
"learning_rate": 1.0350552343178164e-05,
|
| 1405 |
-
"loss": 0.1206,
|
| 1406 |
-
"step": 233
|
| 1407 |
-
},
|
| 1408 |
-
{
|
| 1409 |
-
"epoch": 3.02,
|
| 1410 |
-
"learning_rate": 1.028046256275869e-05,
|
| 1411 |
-
"loss": 0.0922,
|
| 1412 |
-
"step": 234
|
| 1413 |
-
},
|
| 1414 |
-
{
|
| 1415 |
-
"epoch": 3.04,
|
| 1416 |
-
"learning_rate": 1.0210358990669889e-05,
|
| 1417 |
-
"loss": 0.0915,
|
| 1418 |
-
"step": 235
|
| 1419 |
-
},
|
| 1420 |
-
{
|
| 1421 |
-
"epoch": 3.05,
|
| 1422 |
-
"learning_rate": 1.0140245074235624e-05,
|
| 1423 |
-
"loss": 0.0834,
|
| 1424 |
-
"step": 236
|
| 1425 |
-
},
|
| 1426 |
-
{
|
| 1427 |
-
"epoch": 3.06,
|
| 1428 |
-
"learning_rate": 1.0070124261288437e-05,
|
| 1429 |
-
"loss": 0.0781,
|
| 1430 |
-
"step": 237
|
| 1431 |
-
},
|
| 1432 |
-
{
|
| 1433 |
-
"epoch": 3.08,
|
| 1434 |
-
"learning_rate": 1e-05,
|
| 1435 |
-
"loss": 0.0863,
|
| 1436 |
-
"step": 238
|
| 1437 |
-
},
|
| 1438 |
-
{
|
| 1439 |
-
"epoch": 3.09,
|
| 1440 |
-
"learning_rate": 9.929875738711565e-06,
|
| 1441 |
-
"loss": 0.0917,
|
| 1442 |
-
"step": 239
|
| 1443 |
-
},
|
| 1444 |
-
{
|
| 1445 |
-
"epoch": 3.1,
|
| 1446 |
-
"learning_rate": 9.85975492576438e-06,
|
| 1447 |
-
"loss": 0.0788,
|
| 1448 |
-
"step": 240
|
| 1449 |
-
},
|
| 1450 |
-
{
|
| 1451 |
-
"epoch": 3.11,
|
| 1452 |
-
"learning_rate": 9.789641009330113e-06,
|
| 1453 |
-
"loss": 0.0799,
|
| 1454 |
-
"step": 241
|
| 1455 |
-
},
|
| 1456 |
-
{
|
| 1457 |
-
"epoch": 3.13,
|
| 1458 |
-
"learning_rate": 9.719537437241311e-06,
|
| 1459 |
-
"loss": 0.0847,
|
| 1460 |
-
"step": 242
|
| 1461 |
-
},
|
| 1462 |
-
{
|
| 1463 |
-
"epoch": 3.14,
|
| 1464 |
-
"learning_rate": 9.64944765682184e-06,
|
| 1465 |
-
"loss": 0.0869,
|
| 1466 |
-
"step": 243
|
| 1467 |
-
},
|
| 1468 |
-
{
|
| 1469 |
-
"epoch": 3.15,
|
| 1470 |
-
"learning_rate": 9.579375114717352e-06,
|
| 1471 |
-
"loss": 0.0804,
|
| 1472 |
-
"step": 244
|
| 1473 |
-
},
|
| 1474 |
-
{
|
| 1475 |
-
"epoch": 3.17,
|
| 1476 |
-
"learning_rate": 9.50932325672582e-06,
|
| 1477 |
-
"loss": 0.0854,
|
| 1478 |
-
"step": 245
|
| 1479 |
-
},
|
| 1480 |
-
{
|
| 1481 |
-
"epoch": 3.18,
|
| 1482 |
-
"learning_rate": 9.439295527628083e-06,
|
| 1483 |
-
"loss": 0.0715,
|
| 1484 |
-
"step": 246
|
| 1485 |
-
},
|
| 1486 |
-
{
|
| 1487 |
-
"epoch": 3.19,
|
| 1488 |
-
"learning_rate": 9.369295371018442e-06,
|
| 1489 |
-
"loss": 0.0814,
|
| 1490 |
-
"step": 247
|
| 1491 |
-
},
|
| 1492 |
-
{
|
| 1493 |
-
"epoch": 3.21,
|
| 1494 |
-
"learning_rate": 9.299326229135326e-06,
|
| 1495 |
-
"loss": 0.0745,
|
| 1496 |
-
"step": 248
|
| 1497 |
-
},
|
| 1498 |
-
{
|
| 1499 |
-
"epoch": 3.22,
|
| 1500 |
-
"learning_rate": 9.22939154269204e-06,
|
| 1501 |
-
"loss": 0.0758,
|
| 1502 |
-
"step": 249
|
| 1503 |
-
},
|
| 1504 |
-
{
|
| 1505 |
-
"epoch": 3.23,
|
| 1506 |
-
"learning_rate": 9.159494750707527e-06,
|
| 1507 |
-
"loss": 0.0762,
|
| 1508 |
-
"step": 250
|
| 1509 |
-
},
|
| 1510 |
-
{
|
| 1511 |
-
"epoch": 3.24,
|
| 1512 |
-
"learning_rate": 9.0896392903373e-06,
|
| 1513 |
-
"loss": 0.0713,
|
| 1514 |
-
"step": 251
|
| 1515 |
-
},
|
| 1516 |
-
{
|
| 1517 |
-
"epoch": 3.26,
|
| 1518 |
-
"learning_rate": 9.019828596704394e-06,
|
| 1519 |
-
"loss": 0.0831,
|
| 1520 |
-
"step": 252
|
| 1521 |
-
},
|
| 1522 |
-
{
|
| 1523 |
-
"epoch": 3.27,
|
| 1524 |
-
"learning_rate": 8.950066102730456e-06,
|
| 1525 |
-
"loss": 0.0747,
|
| 1526 |
-
"step": 253
|
| 1527 |
-
},
|
| 1528 |
-
{
|
| 1529 |
-
"epoch": 3.28,
|
| 1530 |
-
"learning_rate": 8.880355238966923e-06,
|
| 1531 |
-
"loss": 0.0968,
|
| 1532 |
-
"step": 254
|
| 1533 |
-
},
|
| 1534 |
-
{
|
| 1535 |
-
"epoch": 3.3,
|
| 1536 |
-
"learning_rate": 8.81069943342633e-06,
|
| 1537 |
-
"loss": 0.0591,
|
| 1538 |
-
"step": 255
|
| 1539 |
-
},
|
| 1540 |
-
{
|
| 1541 |
-
"epoch": 3.31,
|
| 1542 |
-
"learning_rate": 8.741102111413749e-06,
|
| 1543 |
-
"loss": 0.0755,
|
| 1544 |
-
"step": 256
|
| 1545 |
-
},
|
| 1546 |
-
{
|
| 1547 |
-
"epoch": 3.32,
|
| 1548 |
-
"learning_rate": 8.671566695358324e-06,
|
| 1549 |
-
"loss": 0.0697,
|
| 1550 |
-
"step": 257
|
| 1551 |
-
},
|
| 1552 |
-
{
|
| 1553 |
-
"epoch": 3.33,
|
| 1554 |
-
"learning_rate": 8.602096604645009e-06,
|
| 1555 |
-
"loss": 0.0691,
|
| 1556 |
-
"step": 258
|
| 1557 |
-
},
|
| 1558 |
-
{
|
| 1559 |
-
"epoch": 3.35,
|
| 1560 |
-
"learning_rate": 8.532695255446384e-06,
|
| 1561 |
-
"loss": 0.0739,
|
| 1562 |
-
"step": 259
|
| 1563 |
-
},
|
| 1564 |
-
{
|
| 1565 |
-
"epoch": 3.36,
|
| 1566 |
-
"learning_rate": 8.463366060554698e-06,
|
| 1567 |
-
"loss": 0.0676,
|
| 1568 |
-
"step": 260
|
| 1569 |
-
},
|
| 1570 |
-
{
|
| 1571 |
-
"epoch": 3.37,
|
| 1572 |
-
"learning_rate": 8.394112429214032e-06,
|
| 1573 |
-
"loss": 0.0683,
|
| 1574 |
-
"step": 261
|
| 1575 |
-
},
|
| 1576 |
-
{
|
| 1577 |
-
"epoch": 3.39,
|
| 1578 |
-
"learning_rate": 8.324937766952638e-06,
|
| 1579 |
-
"loss": 0.0696,
|
| 1580 |
-
"step": 262
|
| 1581 |
-
},
|
| 1582 |
-
{
|
| 1583 |
-
"epoch": 3.4,
|
| 1584 |
-
"learning_rate": 8.255845475415493e-06,
|
| 1585 |
-
"loss": 0.0665,
|
| 1586 |
-
"step": 263
|
| 1587 |
-
},
|
| 1588 |
-
{
|
| 1589 |
-
"epoch": 3.41,
|
| 1590 |
-
"learning_rate": 8.186838952197019e-06,
|
| 1591 |
-
"loss": 0.0722,
|
| 1592 |
-
"step": 264
|
| 1593 |
-
},
|
| 1594 |
-
{
|
| 1595 |
-
"epoch": 3.42,
|
| 1596 |
-
"learning_rate": 8.117921590674002e-06,
|
| 1597 |
-
"loss": 0.0699,
|
| 1598 |
-
"step": 265
|
| 1599 |
-
},
|
| 1600 |
-
{
|
| 1601 |
-
"epoch": 3.44,
|
| 1602 |
-
"learning_rate": 8.04909677983872e-06,
|
| 1603 |
-
"loss": 0.0661,
|
| 1604 |
-
"step": 266
|
| 1605 |
-
},
|
| 1606 |
-
{
|
| 1607 |
-
"epoch": 3.45,
|
| 1608 |
-
"learning_rate": 7.980367904132303e-06,
|
| 1609 |
-
"loss": 0.0688,
|
| 1610 |
-
"step": 267
|
| 1611 |
-
},
|
| 1612 |
-
{
|
| 1613 |
-
"epoch": 3.46,
|
| 1614 |
-
"learning_rate": 7.911738343278303e-06,
|
| 1615 |
-
"loss": 0.0634,
|
| 1616 |
-
"step": 268
|
| 1617 |
-
},
|
| 1618 |
-
{
|
| 1619 |
-
"epoch": 3.48,
|
| 1620 |
-
"learning_rate": 7.843211472116476e-06,
|
| 1621 |
-
"loss": 0.0631,
|
| 1622 |
-
"step": 269
|
| 1623 |
-
},
|
| 1624 |
-
{
|
| 1625 |
-
"epoch": 3.49,
|
| 1626 |
-
"learning_rate": 7.774790660436857e-06,
|
| 1627 |
-
"loss": 0.068,
|
| 1628 |
-
"step": 270
|
| 1629 |
-
},
|
| 1630 |
-
{
|
| 1631 |
-
"epoch": 3.5,
|
| 1632 |
-
"learning_rate": 7.706479272814024e-06,
|
| 1633 |
-
"loss": 0.0596,
|
| 1634 |
-
"step": 271
|
| 1635 |
-
},
|
| 1636 |
-
{
|
| 1637 |
-
"epoch": 3.52,
|
| 1638 |
-
"learning_rate": 7.63828066844166e-06,
|
| 1639 |
-
"loss": 0.0603,
|
| 1640 |
-
"step": 272
|
| 1641 |
-
},
|
| 1642 |
-
{
|
| 1643 |
-
"epoch": 3.53,
|
| 1644 |
-
"learning_rate": 7.570198200967363e-06,
|
| 1645 |
-
"loss": 0.0631,
|
| 1646 |
-
"step": 273
|
| 1647 |
-
},
|
| 1648 |
-
{
|
| 1649 |
-
"epoch": 3.54,
|
| 1650 |
-
"learning_rate": 7.50223521832773e-06,
|
| 1651 |
-
"loss": 0.0727,
|
| 1652 |
-
"step": 274
|
| 1653 |
-
},
|
| 1654 |
-
{
|
| 1655 |
-
"epoch": 3.55,
|
| 1656 |
-
"learning_rate": 7.434395062583735e-06,
|
| 1657 |
-
"loss": 0.0635,
|
| 1658 |
-
"step": 275
|
| 1659 |
-
},
|
| 1660 |
-
{
|
| 1661 |
-
"epoch": 3.57,
|
| 1662 |
-
"learning_rate": 7.366681069756352e-06,
|
| 1663 |
-
"loss": 0.0575,
|
| 1664 |
-
"step": 276
|
| 1665 |
-
},
|
| 1666 |
-
{
|
| 1667 |
-
"epoch": 3.58,
|
| 1668 |
-
"learning_rate": 7.299096569662549e-06,
|
| 1669 |
-
"loss": 0.0613,
|
| 1670 |
-
"step": 277
|
| 1671 |
-
},
|
| 1672 |
-
{
|
| 1673 |
-
"epoch": 3.59,
|
| 1674 |
-
"learning_rate": 7.2316448857515076e-06,
|
| 1675 |
-
"loss": 0.0593,
|
| 1676 |
-
"step": 278
|
| 1677 |
-
},
|
| 1678 |
-
{
|
| 1679 |
-
"epoch": 3.61,
|
| 1680 |
-
"learning_rate": 7.164329334941225e-06,
|
| 1681 |
-
"loss": 0.0557,
|
| 1682 |
-
"step": 279
|
| 1683 |
-
},
|
| 1684 |
-
{
|
| 1685 |
-
"epoch": 3.62,
|
| 1686 |
-
"learning_rate": 7.097153227455379e-06,
|
| 1687 |
-
"loss": 0.0572,
|
| 1688 |
-
"step": 280
|
| 1689 |
-
},
|
| 1690 |
-
{
|
| 1691 |
-
"epoch": 3.63,
|
| 1692 |
-
"learning_rate": 7.030119866660565e-06,
|
| 1693 |
-
"loss": 0.0551,
|
| 1694 |
-
"step": 281
|
| 1695 |
-
},
|
| 1696 |
-
{
|
| 1697 |
-
"epoch": 3.64,
|
| 1698 |
-
"learning_rate": 6.963232548903853e-06,
|
| 1699 |
-
"loss": 0.0548,
|
| 1700 |
-
"step": 282
|
| 1701 |
-
},
|
| 1702 |
-
{
|
| 1703 |
-
"epoch": 3.66,
|
| 1704 |
-
"learning_rate": 6.896494563350681e-06,
|
| 1705 |
-
"loss": 0.0565,
|
| 1706 |
-
"step": 283
|
| 1707 |
-
},
|
| 1708 |
-
{
|
| 1709 |
-
"epoch": 3.67,
|
| 1710 |
-
"learning_rate": 6.829909191823121e-06,
|
| 1711 |
-
"loss": 0.0519,
|
| 1712 |
-
"step": 284
|
| 1713 |
-
},
|
| 1714 |
-
{
|
| 1715 |
-
"epoch": 3.68,
|
| 1716 |
-
"learning_rate": 6.763479708638485e-06,
|
| 1717 |
-
"loss": 0.0522,
|
| 1718 |
-
"step": 285
|
| 1719 |
-
},
|
| 1720 |
-
{
|
| 1721 |
-
"epoch": 3.7,
|
| 1722 |
-
"learning_rate": 6.697209380448333e-06,
|
| 1723 |
-
"loss": 0.0622,
|
| 1724 |
-
"step": 286
|
| 1725 |
-
},
|
| 1726 |
-
{
|
| 1727 |
-
"epoch": 3.71,
|
| 1728 |
-
"learning_rate": 6.631101466077801e-06,
|
| 1729 |
-
"loss": 0.0516,
|
| 1730 |
-
"step": 287
|
| 1731 |
-
},
|
| 1732 |
-
{
|
| 1733 |
-
"epoch": 3.72,
|
| 1734 |
-
"learning_rate": 6.5651592163653885e-06,
|
| 1735 |
-
"loss": 0.0496,
|
| 1736 |
-
"step": 288
|
| 1737 |
-
},
|
| 1738 |
-
{
|
| 1739 |
-
"epoch": 3.74,
|
| 1740 |
-
"learning_rate": 6.499385874003077e-06,
|
| 1741 |
-
"loss": 0.051,
|
| 1742 |
-
"step": 289
|
| 1743 |
-
},
|
| 1744 |
-
{
|
| 1745 |
-
"epoch": 3.75,
|
| 1746 |
-
"learning_rate": 6.43378467337687e-06,
|
| 1747 |
-
"loss": 0.0483,
|
| 1748 |
-
"step": 290
|
| 1749 |
-
},
|
| 1750 |
-
{
|
| 1751 |
-
"epoch": 3.76,
|
| 1752 |
-
"learning_rate": 6.368358840407754e-06,
|
| 1753 |
-
"loss": 0.0395,
|
| 1754 |
-
"step": 291
|
| 1755 |
-
},
|
| 1756 |
-
{
|
| 1757 |
-
"epoch": 3.77,
|
| 1758 |
-
"learning_rate": 6.303111592393051e-06,
|
| 1759 |
-
"loss": 0.0453,
|
| 1760 |
-
"step": 292
|
| 1761 |
-
},
|
| 1762 |
-
{
|
| 1763 |
-
"epoch": 3.79,
|
| 1764 |
-
"learning_rate": 6.23804613784823e-06,
|
| 1765 |
-
"loss": 0.0423,
|
| 1766 |
-
"step": 293
|
| 1767 |
-
},
|
| 1768 |
-
{
|
| 1769 |
-
"epoch": 3.8,
|
| 1770 |
-
"learning_rate": 6.173165676349103e-06,
|
| 1771 |
-
"loss": 0.0416,
|
| 1772 |
-
"step": 294
|
| 1773 |
-
},
|
| 1774 |
-
{
|
| 1775 |
-
"epoch": 3.81,
|
| 1776 |
-
"learning_rate": 6.108473398374509e-06,
|
| 1777 |
-
"loss": 0.0402,
|
| 1778 |
-
"step": 295
|
| 1779 |
-
},
|
| 1780 |
-
{
|
| 1781 |
-
"epoch": 3.83,
|
| 1782 |
-
"learning_rate": 6.043972485149414e-06,
|
| 1783 |
-
"loss": 0.0418,
|
| 1784 |
-
"step": 296
|
| 1785 |
-
},
|
| 1786 |
-
{
|
| 1787 |
-
"epoch": 3.84,
|
| 1788 |
-
"learning_rate": 5.979666108488464e-06,
|
| 1789 |
-
"loss": 0.0432,
|
| 1790 |
-
"step": 297
|
| 1791 |
-
},
|
| 1792 |
-
{
|
| 1793 |
-
"epoch": 3.85,
|
| 1794 |
-
"learning_rate": 5.91555743064004e-06,
|
| 1795 |
-
"loss": 0.0354,
|
| 1796 |
-
"step": 298
|
| 1797 |
-
},
|
| 1798 |
-
{
|
| 1799 |
-
"epoch": 3.86,
|
| 1800 |
-
"learning_rate": 5.851649604130723e-06,
|
| 1801 |
-
"loss": 0.0353,
|
| 1802 |
-
"step": 299
|
| 1803 |
-
},
|
| 1804 |
-
{
|
| 1805 |
-
"epoch": 3.88,
|
| 1806 |
-
"learning_rate": 5.787945771610296e-06,
|
| 1807 |
-
"loss": 0.033,
|
| 1808 |
-
"step": 300
|
| 1809 |
-
},
|
| 1810 |
-
{
|
| 1811 |
-
"epoch": 3.89,
|
| 1812 |
-
"learning_rate": 5.724449065697182e-06,
|
| 1813 |
-
"loss": 0.0344,
|
| 1814 |
-
"step": 301
|
| 1815 |
-
},
|
| 1816 |
-
{
|
| 1817 |
-
"epoch": 3.9,
|
| 1818 |
-
"learning_rate": 5.66116260882442e-06,
|
| 1819 |
-
"loss": 0.0339,
|
| 1820 |
-
"step": 302
|
| 1821 |
-
},
|
| 1822 |
-
{
|
| 1823 |
-
"epoch": 3.92,
|
| 1824 |
-
"learning_rate": 5.598089513086108e-06,
|
| 1825 |
-
"loss": 0.034,
|
| 1826 |
-
"step": 303
|
| 1827 |
-
},
|
| 1828 |
-
{
|
| 1829 |
-
"epoch": 3.93,
|
| 1830 |
-
"learning_rate": 5.535232880084373e-06,
|
| 1831 |
-
"loss": 0.0348,
|
| 1832 |
-
"step": 304
|
| 1833 |
-
},
|
| 1834 |
-
{
|
| 1835 |
-
"epoch": 3.94,
|
| 1836 |
-
"learning_rate": 5.472595800776831e-06,
|
| 1837 |
-
"loss": 0.0345,
|
| 1838 |
-
"step": 305
|
| 1839 |
-
},
|
| 1840 |
-
{
|
| 1841 |
-
"epoch": 3.95,
|
| 1842 |
-
"learning_rate": 5.410181355324622e-06,
|
| 1843 |
-
"loss": 0.0312,
|
| 1844 |
-
"step": 306
|
| 1845 |
-
},
|
| 1846 |
-
{
|
| 1847 |
-
"epoch": 3.97,
|
| 1848 |
-
"learning_rate": 5.347992612940927e-06,
|
| 1849 |
-
"loss": 0.0336,
|
| 1850 |
-
"step": 307
|
| 1851 |
-
},
|
| 1852 |
-
{
|
| 1853 |
-
"epoch": 3.98,
|
| 1854 |
-
"learning_rate": 5.286032631740023e-06,
|
| 1855 |
-
"loss": 0.0369,
|
| 1856 |
-
"step": 308
|
| 1857 |
-
},
|
| 1858 |
-
{
|
| 1859 |
-
"epoch": 3.99,
|
| 1860 |
-
"learning_rate": 5.22430445858694e-06,
|
| 1861 |
-
"loss": 0.0285,
|
| 1862 |
-
"step": 309
|
| 1863 |
-
},
|
| 1864 |
-
{
|
| 1865 |
-
"epoch": 4.01,
|
| 1866 |
-
"learning_rate": 5.1628111289476025e-06,
|
| 1867 |
-
"loss": 0.0239,
|
| 1868 |
-
"step": 310
|
| 1869 |
-
},
|
| 1870 |
-
{
|
| 1871 |
-
"epoch": 4.02,
|
| 1872 |
-
"learning_rate": 5.101555666739563e-06,
|
| 1873 |
-
"loss": 0.0095,
|
| 1874 |
-
"step": 311
|
| 1875 |
-
},
|
| 1876 |
-
{
|
| 1877 |
-
"epoch": 4.03,
|
| 1878 |
-
"learning_rate": 5.040541084183326e-06,
|
| 1879 |
-
"loss": 0.0114,
|
| 1880 |
-
"step": 312
|
| 1881 |
-
},
|
| 1882 |
-
{
|
| 1883 |
-
"epoch": 4.05,
|
| 1884 |
-
"learning_rate": 4.979770381654181e-06,
|
| 1885 |
-
"loss": 0.0109,
|
| 1886 |
-
"step": 313
|
| 1887 |
-
},
|
| 1888 |
-
{
|
| 1889 |
-
"epoch": 4.06,
|
| 1890 |
-
"learning_rate": 4.919246547534709e-06,
|
| 1891 |
-
"loss": 0.0095,
|
| 1892 |
-
"step": 314
|
| 1893 |
-
},
|
| 1894 |
-
{
|
| 1895 |
-
"epoch": 4.07,
|
| 1896 |
-
"learning_rate": 4.858972558067784e-06,
|
| 1897 |
-
"loss": 0.0103,
|
| 1898 |
-
"step": 315
|
| 1899 |
-
},
|
| 1900 |
-
{
|
| 1901 |
-
"epoch": 4.08,
|
| 1902 |
-
"learning_rate": 4.798951377210253e-06,
|
| 1903 |
-
"loss": 0.0088,
|
| 1904 |
-
"step": 316
|
| 1905 |
-
},
|
| 1906 |
-
{
|
| 1907 |
-
"epoch": 4.1,
|
| 1908 |
-
"learning_rate": 4.739185956487169e-06,
|
| 1909 |
-
"loss": 0.0107,
|
| 1910 |
-
"step": 317
|
| 1911 |
-
},
|
| 1912 |
-
{
|
| 1913 |
-
"epoch": 4.11,
|
| 1914 |
-
"learning_rate": 4.679679234846636e-06,
|
| 1915 |
-
"loss": 0.0108,
|
| 1916 |
-
"step": 318
|
| 1917 |
-
},
|
| 1918 |
-
{
|
| 1919 |
-
"epoch": 4.12,
|
| 1920 |
-
"learning_rate": 4.6204341385153186e-06,
|
| 1921 |
-
"loss": 0.0098,
|
| 1922 |
-
"step": 319
|
| 1923 |
-
},
|
| 1924 |
-
{
|
| 1925 |
-
"epoch": 4.14,
|
| 1926 |
-
"learning_rate": 4.561453580854516e-06,
|
| 1927 |
-
"loss": 0.0121,
|
| 1928 |
-
"step": 320
|
| 1929 |
-
},
|
| 1930 |
-
{
|
| 1931 |
-
"epoch": 4.15,
|
| 1932 |
-
"learning_rate": 4.502740462216919e-06,
|
| 1933 |
-
"loss": 0.0124,
|
| 1934 |
-
"step": 321
|
| 1935 |
-
},
|
| 1936 |
-
{
|
| 1937 |
-
"epoch": 4.16,
|
| 1938 |
-
"learning_rate": 4.444297669803981e-06,
|
| 1939 |
-
"loss": 0.0089,
|
| 1940 |
-
"step": 322
|
| 1941 |
-
},
|
| 1942 |
-
{
|
| 1943 |
-
"epoch": 4.17,
|
| 1944 |
-
"learning_rate": 4.386128077523923e-06,
|
| 1945 |
-
"loss": 0.0119,
|
| 1946 |
-
"step": 323
|
| 1947 |
-
},
|
| 1948 |
-
{
|
| 1949 |
-
"epoch": 4.19,
|
| 1950 |
-
"learning_rate": 4.328234545850441e-06,
|
| 1951 |
-
"loss": 0.0124,
|
| 1952 |
-
"step": 324
|
| 1953 |
-
},
|
| 1954 |
-
{
|
| 1955 |
-
"epoch": 4.2,
|
| 1956 |
-
"learning_rate": 4.270619921682019e-06,
|
| 1957 |
-
"loss": 0.0098,
|
| 1958 |
-
"step": 325
|
| 1959 |
-
},
|
| 1960 |
-
{
|
| 1961 |
-
"epoch": 4.21,
|
| 1962 |
-
"learning_rate": 4.213287038201943e-06,
|
| 1963 |
-
"loss": 0.0106,
|
| 1964 |
-
"step": 326
|
| 1965 |
-
},
|
| 1966 |
-
{
|
| 1967 |
-
"epoch": 4.23,
|
| 1968 |
-
"learning_rate": 4.156238714738974e-06,
|
| 1969 |
-
"loss": 0.012,
|
| 1970 |
-
"step": 327
|
| 1971 |
-
},
|
| 1972 |
-
{
|
| 1973 |
-
"epoch": 4.24,
|
| 1974 |
-
"learning_rate": 4.09947775662872e-06,
|
| 1975 |
-
"loss": 0.0081,
|
| 1976 |
-
"step": 328
|
| 1977 |
-
},
|
| 1978 |
-
{
|
| 1979 |
-
"epoch": 4.25,
|
| 1980 |
-
"learning_rate": 4.043006955075667e-06,
|
| 1981 |
-
"loss": 0.0093,
|
| 1982 |
-
"step": 329
|
| 1983 |
-
},
|
| 1984 |
-
{
|
| 1985 |
-
"epoch": 4.26,
|
| 1986 |
-
"learning_rate": 3.986829087015941e-06,
|
| 1987 |
-
"loss": 0.0079,
|
| 1988 |
-
"step": 330
|
| 1989 |
-
},
|
| 1990 |
-
{
|
| 1991 |
-
"epoch": 4.28,
|
| 1992 |
-
"learning_rate": 3.930946914980744e-06,
|
| 1993 |
-
"loss": 0.0105,
|
| 1994 |
-
"step": 331
|
| 1995 |
-
},
|
| 1996 |
-
{
|
| 1997 |
-
"epoch": 4.29,
|
| 1998 |
-
"learning_rate": 3.875363186960499e-06,
|
| 1999 |
-
"loss": 0.0094,
|
| 2000 |
-
"step": 332
|
| 2001 |
-
},
|
| 2002 |
-
{
|
| 2003 |
-
"epoch": 4.3,
|
| 2004 |
-
"learning_rate": 3.820080636269737e-06,
|
| 2005 |
-
"loss": 0.0095,
|
| 2006 |
-
"step": 333
|
| 2007 |
-
},
|
| 2008 |
-
{
|
| 2009 |
-
"epoch": 4.32,
|
| 2010 |
-
"learning_rate": 3.7651019814126656e-06,
|
| 2011 |
-
"loss": 0.0105,
|
| 2012 |
-
"step": 334
|
| 2013 |
-
},
|
| 2014 |
-
{
|
| 2015 |
-
"epoch": 4.33,
|
| 2016 |
-
"learning_rate": 3.7104299259495113e-06,
|
| 2017 |
-
"loss": 0.0058,
|
| 2018 |
-
"step": 335
|
| 2019 |
-
},
|
| 2020 |
-
{
|
| 2021 |
-
"epoch": 4.34,
|
| 2022 |
-
"learning_rate": 3.6560671583635467e-06,
|
| 2023 |
-
"loss": 0.0071,
|
| 2024 |
-
"step": 336
|
| 2025 |
-
},
|
| 2026 |
-
{
|
| 2027 |
-
"epoch": 4.36,
|
| 2028 |
-
"learning_rate": 3.6020163519289077e-06,
|
| 2029 |
-
"loss": 0.009,
|
| 2030 |
-
"step": 337
|
| 2031 |
-
},
|
| 2032 |
-
{
|
| 2033 |
-
"epoch": 4.37,
|
| 2034 |
-
"learning_rate": 3.5482801645791266e-06,
|
| 2035 |
-
"loss": 0.0086,
|
| 2036 |
-
"step": 338
|
| 2037 |
-
},
|
| 2038 |
-
{
|
| 2039 |
-
"epoch": 4.38,
|
| 2040 |
-
"learning_rate": 3.494861238776418e-06,
|
| 2041 |
-
"loss": 0.0073,
|
| 2042 |
-
"step": 339
|
| 2043 |
-
},
|
| 2044 |
-
{
|
| 2045 |
-
"epoch": 4.39,
|
| 2046 |
-
"learning_rate": 3.4417622013817597e-06,
|
| 2047 |
-
"loss": 0.0073,
|
| 2048 |
-
"step": 340
|
| 2049 |
-
},
|
| 2050 |
-
{
|
| 2051 |
-
"epoch": 4.41,
|
| 2052 |
-
"learning_rate": 3.3889856635257024e-06,
|
| 2053 |
-
"loss": 0.0054,
|
| 2054 |
-
"step": 341
|
| 2055 |
-
},
|
| 2056 |
-
{
|
| 2057 |
-
"epoch": 4.42,
|
| 2058 |
-
"learning_rate": 3.3365342204799613e-06,
|
| 2059 |
-
"loss": 0.0061,
|
| 2060 |
-
"step": 342
|
| 2061 |
-
},
|
| 2062 |
-
{
|
| 2063 |
-
"epoch": 4.43,
|
| 2064 |
-
"learning_rate": 3.284410451529816e-06,
|
| 2065 |
-
"loss": 0.0055,
|
| 2066 |
-
"step": 343
|
| 2067 |
-
},
|
| 2068 |
-
{
|
| 2069 |
-
"epoch": 4.45,
|
| 2070 |
-
"learning_rate": 3.2326169198472555e-06,
|
| 2071 |
-
"loss": 0.0066,
|
| 2072 |
-
"step": 344
|
| 2073 |
-
},
|
| 2074 |
-
{
|
| 2075 |
-
"epoch": 4.46,
|
| 2076 |
-
"learning_rate": 3.1811561723649496e-06,
|
| 2077 |
-
"loss": 0.009,
|
| 2078 |
-
"step": 345
|
| 2079 |
-
},
|
| 2080 |
-
{
|
| 2081 |
-
"epoch": 4.47,
|
| 2082 |
-
"learning_rate": 3.1300307396509833e-06,
|
| 2083 |
-
"loss": 0.0077,
|
| 2084 |
-
"step": 346
|
| 2085 |
-
},
|
| 2086 |
-
{
|
| 2087 |
-
"epoch": 4.48,
|
| 2088 |
-
"learning_rate": 3.0792431357844444e-06,
|
| 2089 |
-
"loss": 0.0061,
|
| 2090 |
-
"step": 347
|
| 2091 |
-
},
|
| 2092 |
-
{
|
| 2093 |
-
"epoch": 4.5,
|
| 2094 |
-
"learning_rate": 3.028795858231768e-06,
|
| 2095 |
-
"loss": 0.0062,
|
| 2096 |
-
"step": 348
|
| 2097 |
-
},
|
| 2098 |
-
{
|
| 2099 |
-
"epoch": 4.51,
|
| 2100 |
-
"learning_rate": 2.9786913877239486e-06,
|
| 2101 |
-
"loss": 0.0058,
|
| 2102 |
-
"step": 349
|
| 2103 |
-
},
|
| 2104 |
-
{
|
| 2105 |
-
"epoch": 4.52,
|
| 2106 |
-
"learning_rate": 2.9289321881345257e-06,
|
| 2107 |
-
"loss": 0.0078,
|
| 2108 |
-
"step": 350
|
| 2109 |
-
},
|
| 2110 |
-
{
|
| 2111 |
-
"epoch": 4.54,
|
| 2112 |
-
"learning_rate": 2.879520706358446e-06,
|
| 2113 |
-
"loss": 0.0075,
|
| 2114 |
-
"step": 351
|
| 2115 |
-
},
|
| 2116 |
-
{
|
| 2117 |
-
"epoch": 4.55,
|
| 2118 |
-
"learning_rate": 2.8304593721917283e-06,
|
| 2119 |
-
"loss": 0.0058,
|
| 2120 |
-
"step": 352
|
| 2121 |
-
},
|
| 2122 |
-
{
|
| 2123 |
-
"epoch": 4.56,
|
| 2124 |
-
"learning_rate": 2.7817505982119708e-06,
|
| 2125 |
-
"loss": 0.0065,
|
| 2126 |
-
"step": 353
|
| 2127 |
-
},
|
| 2128 |
-
{
|
| 2129 |
-
"epoch": 4.58,
|
| 2130 |
-
"learning_rate": 2.7333967796597317e-06,
|
| 2131 |
-
"loss": 0.0058,
|
| 2132 |
-
"step": 354
|
| 2133 |
-
},
|
| 2134 |
-
{
|
| 2135 |
-
"epoch": 4.59,
|
| 2136 |
-
"learning_rate": 2.6854002943207245e-06,
|
| 2137 |
-
"loss": 0.0063,
|
| 2138 |
-
"step": 355
|
| 2139 |
-
},
|
| 2140 |
-
{
|
| 2141 |
-
"epoch": 4.6,
|
| 2142 |
-
"learning_rate": 2.637763502408909e-06,
|
| 2143 |
-
"loss": 0.0052,
|
| 2144 |
-
"step": 356
|
| 2145 |
-
},
|
| 2146 |
-
{
|
| 2147 |
-
"epoch": 4.61,
|
| 2148 |
-
"learning_rate": 2.5904887464504115e-06,
|
| 2149 |
-
"loss": 0.0068,
|
| 2150 |
-
"step": 357
|
| 2151 |
-
},
|
| 2152 |
-
{
|
| 2153 |
-
"epoch": 4.63,
|
| 2154 |
-
"learning_rate": 2.5435783511683444e-06,
|
| 2155 |
-
"loss": 0.0089,
|
| 2156 |
-
"step": 358
|
| 2157 |
-
},
|
| 2158 |
-
{
|
| 2159 |
-
"epoch": 4.64,
|
| 2160 |
-
"learning_rate": 2.4970346233684863e-06,
|
| 2161 |
-
"loss": 0.006,
|
| 2162 |
-
"step": 359
|
| 2163 |
-
},
|
| 2164 |
-
{
|
| 2165 |
-
"epoch": 4.65,
|
| 2166 |
-
"learning_rate": 2.450859851825842e-06,
|
| 2167 |
-
"loss": 0.0046,
|
| 2168 |
-
"step": 360
|
| 2169 |
-
},
|
| 2170 |
-
{
|
| 2171 |
-
"epoch": 4.67,
|
| 2172 |
-
"learning_rate": 2.4050563071720867e-06,
|
| 2173 |
-
"loss": 0.0055,
|
| 2174 |
-
"step": 361
|
| 2175 |
-
},
|
| 2176 |
-
{
|
| 2177 |
-
"epoch": 4.68,
|
| 2178 |
-
"learning_rate": 2.3596262417839256e-06,
|
| 2179 |
-
"loss": 0.0045,
|
| 2180 |
-
"step": 362
|
| 2181 |
-
},
|
| 2182 |
-
{
|
| 2183 |
-
"epoch": 4.69,
|
| 2184 |
-
"learning_rate": 2.3145718896723204e-06,
|
| 2185 |
-
"loss": 0.0053,
|
| 2186 |
-
"step": 363
|
| 2187 |
-
},
|
| 2188 |
-
{
|
| 2189 |
-
"epoch": 4.7,
|
| 2190 |
-
"learning_rate": 2.26989546637263e-06,
|
| 2191 |
-
"loss": 0.0056,
|
| 2192 |
-
"step": 364
|
| 2193 |
-
},
|
| 2194 |
-
{
|
| 2195 |
-
"epoch": 4.72,
|
| 2196 |
-
"learning_rate": 2.225599168835677e-06,
|
| 2197 |
-
"loss": 0.0043,
|
| 2198 |
-
"step": 365
|
| 2199 |
-
},
|
| 2200 |
-
{
|
| 2201 |
-
"epoch": 4.73,
|
| 2202 |
-
"learning_rate": 2.1816851753197023e-06,
|
| 2203 |
-
"loss": 0.0078,
|
| 2204 |
-
"step": 366
|
| 2205 |
-
},
|
| 2206 |
-
{
|
| 2207 |
-
"epoch": 4.74,
|
| 2208 |
-
"learning_rate": 2.138155645283244e-06,
|
| 2209 |
-
"loss": 0.0068,
|
| 2210 |
-
"step": 367
|
| 2211 |
-
},
|
| 2212 |
-
{
|
| 2213 |
-
"epoch": 4.76,
|
| 2214 |
-
"learning_rate": 2.095012719278966e-06,
|
| 2215 |
-
"loss": 0.0037,
|
| 2216 |
-
"step": 368
|
| 2217 |
-
},
|
| 2218 |
-
{
|
| 2219 |
-
"epoch": 4.77,
|
| 2220 |
-
"learning_rate": 2.0522585188483745e-06,
|
| 2221 |
-
"loss": 0.0038,
|
| 2222 |
-
"step": 369
|
| 2223 |
-
},
|
| 2224 |
-
{
|
| 2225 |
-
"epoch": 4.78,
|
| 2226 |
-
"learning_rate": 2.009895146417512e-06,
|
| 2227 |
-
"loss": 0.0044,
|
| 2228 |
-
"step": 370
|
| 2229 |
-
},
|
| 2230 |
-
{
|
| 2231 |
-
"epoch": 4.79,
|
| 2232 |
-
"learning_rate": 1.967924685193552e-06,
|
| 2233 |
-
"loss": 0.0059,
|
| 2234 |
-
"step": 371
|
| 2235 |
-
},
|
| 2236 |
-
{
|
| 2237 |
-
"epoch": 4.81,
|
| 2238 |
-
"learning_rate": 1.9263491990623763e-06,
|
| 2239 |
-
"loss": 0.005,
|
| 2240 |
-
"step": 372
|
| 2241 |
-
},
|
| 2242 |
-
{
|
| 2243 |
-
"epoch": 4.82,
|
| 2244 |
-
"learning_rate": 1.885170732487074e-06,
|
| 2245 |
-
"loss": 0.0041,
|
| 2246 |
-
"step": 373
|
| 2247 |
-
},
|
| 2248 |
-
{
|
| 2249 |
-
"epoch": 4.83,
|
| 2250 |
-
"learning_rate": 1.8443913104073984e-06,
|
| 2251 |
-
"loss": 0.004,
|
| 2252 |
-
"step": 374
|
| 2253 |
-
},
|
| 2254 |
-
{
|
| 2255 |
-
"epoch": 4.85,
|
| 2256 |
-
"learning_rate": 1.8040129381402137e-06,
|
| 2257 |
-
"loss": 0.0042,
|
| 2258 |
-
"step": 375
|
| 2259 |
-
},
|
| 2260 |
-
{
|
| 2261 |
-
"epoch": 4.86,
|
| 2262 |
-
"learning_rate": 1.7640376012808536e-06,
|
| 2263 |
-
"loss": 0.0036,
|
| 2264 |
-
"step": 376
|
| 2265 |
-
},
|
| 2266 |
-
{
|
| 2267 |
-
"epoch": 4.87,
|
| 2268 |
-
"learning_rate": 1.7244672656055105e-06,
|
| 2269 |
-
"loss": 0.0037,
|
| 2270 |
-
"step": 377
|
| 2271 |
-
},
|
| 2272 |
-
{
|
| 2273 |
-
"epoch": 4.89,
|
| 2274 |
-
"learning_rate": 1.6853038769745466e-06,
|
| 2275 |
-
"loss": 0.0043,
|
| 2276 |
-
"step": 378
|
| 2277 |
-
},
|
| 2278 |
-
{
|
| 2279 |
-
"epoch": 4.9,
|
| 2280 |
-
"learning_rate": 1.6465493612368233e-06,
|
| 2281 |
-
"loss": 0.0052,
|
| 2282 |
-
"step": 379
|
| 2283 |
-
},
|
| 2284 |
-
{
|
| 2285 |
-
"epoch": 4.91,
|
| 2286 |
-
"learning_rate": 1.6082056241349787e-06,
|
| 2287 |
-
"loss": 0.0037,
|
| 2288 |
-
"step": 380
|
| 2289 |
-
},
|
| 2290 |
-
{
|
| 2291 |
-
"epoch": 4.92,
|
| 2292 |
-
"learning_rate": 1.5702745512117323e-06,
|
| 2293 |
-
"loss": 0.0034,
|
| 2294 |
-
"step": 381
|
| 2295 |
-
},
|
| 2296 |
-
{
|
| 2297 |
-
"epoch": 4.94,
|
| 2298 |
-
"learning_rate": 1.5327580077171589e-06,
|
| 2299 |
-
"loss": 0.0044,
|
| 2300 |
-
"step": 382
|
| 2301 |
-
},
|
| 2302 |
-
{
|
| 2303 |
-
"epoch": 4.95,
|
| 2304 |
-
"learning_rate": 1.495657838516953e-06,
|
| 2305 |
-
"loss": 0.0029,
|
| 2306 |
-
"step": 383
|
| 2307 |
-
},
|
| 2308 |
-
{
|
| 2309 |
-
"epoch": 4.96,
|
| 2310 |
-
"learning_rate": 1.4589758680017263e-06,
|
| 2311 |
-
"loss": 0.0026,
|
| 2312 |
-
"step": 384
|
| 2313 |
-
},
|
| 2314 |
-
{
|
| 2315 |
-
"epoch": 4.98,
|
| 2316 |
-
"learning_rate": 1.4227138999972801e-06,
|
| 2317 |
-
"loss": 0.0036,
|
| 2318 |
-
"step": 385
|
| 2319 |
-
},
|
| 2320 |
-
{
|
| 2321 |
-
"epoch": 4.99,
|
| 2322 |
-
"learning_rate": 1.3868737176759105e-06,
|
| 2323 |
-
"loss": 0.0049,
|
| 2324 |
-
"step": 386
|
| 2325 |
-
},
|
| 2326 |
-
{
|
| 2327 |
-
"epoch": 5.0,
|
| 2328 |
-
"learning_rate": 1.3514570834687203e-06,
|
| 2329 |
-
"loss": 0.0031,
|
| 2330 |
-
"step": 387
|
| 2331 |
-
},
|
| 2332 |
-
{
|
| 2333 |
-
"epoch": 5.01,
|
| 2334 |
-
"learning_rate": 1.3164657389789459e-06,
|
| 2335 |
-
"loss": 0.0015,
|
| 2336 |
-
"step": 388
|
| 2337 |
-
},
|
| 2338 |
-
{
|
| 2339 |
-
"epoch": 5.03,
|
| 2340 |
-
"learning_rate": 1.281901404896323e-06,
|
| 2341 |
-
"loss": 0.0016,
|
| 2342 |
-
"step": 389
|
| 2343 |
-
},
|
| 2344 |
-
{
|
| 2345 |
-
"epoch": 5.04,
|
| 2346 |
-
"learning_rate": 1.2477657809124632e-06,
|
| 2347 |
-
"loss": 0.0023,
|
| 2348 |
-
"step": 390
|
| 2349 |
-
},
|
| 2350 |
-
{
|
| 2351 |
-
"epoch": 5.05,
|
| 2352 |
-
"learning_rate": 1.2140605456372856e-06,
|
| 2353 |
-
"loss": 0.0026,
|
| 2354 |
-
"step": 391
|
| 2355 |
-
},
|
| 2356 |
-
{
|
| 2357 |
-
"epoch": 5.07,
|
| 2358 |
-
"learning_rate": 1.1807873565164507e-06,
|
| 2359 |
-
"loss": 0.0018,
|
| 2360 |
-
"step": 392
|
| 2361 |
-
},
|
| 2362 |
-
{
|
| 2363 |
-
"epoch": 5.08,
|
| 2364 |
-
"learning_rate": 1.1479478497498796e-06,
|
| 2365 |
-
"loss": 0.0017,
|
| 2366 |
-
"step": 393
|
| 2367 |
-
},
|
| 2368 |
-
{
|
| 2369 |
-
"epoch": 5.09,
|
| 2370 |
-
"learning_rate": 1.1155436402112785e-06,
|
| 2371 |
-
"loss": 0.0021,
|
| 2372 |
-
"step": 394
|
| 2373 |
-
},
|
| 2374 |
-
{
|
| 2375 |
-
"epoch": 5.11,
|
| 2376 |
-
"learning_rate": 1.08357632136873e-06,
|
| 2377 |
-
"loss": 0.0014,
|
| 2378 |
-
"step": 395
|
| 2379 |
-
},
|
| 2380 |
-
{
|
| 2381 |
-
"epoch": 5.12,
|
| 2382 |
-
"learning_rate": 1.0520474652063395e-06,
|
| 2383 |
-
"loss": 0.0012,
|
| 2384 |
-
"step": 396
|
| 2385 |
-
},
|
| 2386 |
-
{
|
| 2387 |
-
"epoch": 5.13,
|
| 2388 |
-
"learning_rate": 1.0209586221469336e-06,
|
| 2389 |
-
"loss": 0.0019,
|
| 2390 |
-
"step": 397
|
| 2391 |
-
},
|
| 2392 |
-
{
|
| 2393 |
-
"epoch": 5.14,
|
| 2394 |
-
"learning_rate": 9.903113209758098e-07,
|
| 2395 |
-
"loss": 0.0014,
|
| 2396 |
-
"step": 398
|
| 2397 |
-
},
|
| 2398 |
-
{
|
| 2399 |
-
"epoch": 5.16,
|
| 2400 |
-
"learning_rate": 9.601070687655667e-07,
|
| 2401 |
-
"loss": 0.0024,
|
| 2402 |
-
"step": 399
|
| 2403 |
-
},
|
| 2404 |
-
{
|
| 2405 |
-
"epoch": 5.17,
|
| 2406 |
-
"learning_rate": 9.303473508019944e-07,
|
| 2407 |
-
"loss": 0.003,
|
| 2408 |
-
"step": 400
|
| 2409 |
-
},
|
| 2410 |
-
{
|
| 2411 |
-
"epoch": 5.18,
|
| 2412 |
-
"learning_rate": 9.010336305110345e-07,
|
| 2413 |
-
"loss": 0.0029,
|
| 2414 |
-
"step": 401
|
| 2415 |
-
},
|
| 2416 |
-
{
|
| 2417 |
-
"epoch": 5.2,
|
| 2418 |
-
"learning_rate": 8.721673493868111e-07,
|
| 2419 |
-
"loss": 0.0014,
|
| 2420 |
-
"step": 402
|
| 2421 |
-
},
|
| 2422 |
-
{
|
| 2423 |
-
"epoch": 5.21,
|
| 2424 |
-
"learning_rate": 8.437499269207538e-07,
|
| 2425 |
-
"loss": 0.0018,
|
| 2426 |
-
"step": 403
|
| 2427 |
-
},
|
| 2428 |
-
{
|
| 2429 |
-
"epoch": 5.22,
|
| 2430 |
-
"learning_rate": 8.157827605317892e-07,
|
| 2431 |
-
"loss": 0.0013,
|
| 2432 |
-
"step": 404
|
| 2433 |
-
},
|
| 2434 |
-
{
|
| 2435 |
-
"epoch": 5.23,
|
| 2436 |
-
"learning_rate": 7.882672254976298e-07,
|
| 2437 |
-
"loss": 0.0014,
|
| 2438 |
-
"step": 405
|
| 2439 |
-
},
|
| 2440 |
-
{
|
| 2441 |
-
"epoch": 5.25,
|
| 2442 |
-
"learning_rate": 7.612046748871327e-07,
|
| 2443 |
-
"loss": 0.0014,
|
| 2444 |
-
"step": 406
|
| 2445 |
-
},
|
| 2446 |
-
{
|
| 2447 |
-
"epoch": 5.26,
|
| 2448 |
-
"learning_rate": 7.345964394937788e-07,
|
| 2449 |
-
"loss": 0.002,
|
| 2450 |
-
"step": 407
|
| 2451 |
-
},
|
| 2452 |
-
{
|
| 2453 |
-
"epoch": 5.27,
|
| 2454 |
-
"learning_rate": 7.084438277702188e-07,
|
| 2455 |
-
"loss": 0.0021,
|
| 2456 |
-
"step": 408
|
| 2457 |
-
},
|
| 2458 |
-
{
|
| 2459 |
-
"epoch": 5.29,
|
| 2460 |
-
"learning_rate": 6.827481257639346e-07,
|
| 2461 |
-
"loss": 0.0014,
|
| 2462 |
-
"step": 409
|
| 2463 |
-
},
|
| 2464 |
-
{
|
| 2465 |
-
"epoch": 5.3,
|
| 2466 |
-
"learning_rate": 6.57510597054003e-07,
|
| 2467 |
-
"loss": 0.0012,
|
| 2468 |
-
"step": 410
|
| 2469 |
-
},
|
| 2470 |
-
{
|
| 2471 |
-
"epoch": 5.31,
|
| 2472 |
-
"learning_rate": 6.327324826889469e-07,
|
| 2473 |
-
"loss": 0.002,
|
| 2474 |
-
"step": 411
|
| 2475 |
-
},
|
| 2476 |
-
{
|
| 2477 |
-
"epoch": 5.32,
|
| 2478 |
-
"learning_rate": 6.084150011257239e-07,
|
| 2479 |
-
"loss": 0.0014,
|
| 2480 |
-
"step": 412
|
| 2481 |
-
},
|
| 2482 |
-
{
|
| 2483 |
-
"epoch": 5.34,
|
| 2484 |
-
"learning_rate": 5.845593481697931e-07,
|
| 2485 |
-
"loss": 0.0011,
|
| 2486 |
-
"step": 413
|
| 2487 |
-
},
|
| 2488 |
-
{
|
| 2489 |
-
"epoch": 5.35,
|
| 2490 |
-
"learning_rate": 5.611666969163243e-07,
|
| 2491 |
-
"loss": 0.0025,
|
| 2492 |
-
"step": 414
|
| 2493 |
-
},
|
| 2494 |
-
{
|
| 2495 |
-
"epoch": 5.36,
|
| 2496 |
-
"learning_rate": 5.382381976925044e-07,
|
| 2497 |
-
"loss": 0.0013,
|
| 2498 |
-
"step": 415
|
| 2499 |
-
},
|
| 2500 |
-
{
|
| 2501 |
-
"epoch": 5.38,
|
| 2502 |
-
"learning_rate": 5.157749780009735e-07,
|
| 2503 |
-
"loss": 0.0014,
|
| 2504 |
-
"step": 416
|
| 2505 |
-
},
|
| 2506 |
-
{
|
| 2507 |
-
"epoch": 5.39,
|
| 2508 |
-
"learning_rate": 4.937781424643728e-07,
|
| 2509 |
-
"loss": 0.0014,
|
| 2510 |
-
"step": 417
|
| 2511 |
-
},
|
| 2512 |
-
{
|
| 2513 |
-
"epoch": 5.4,
|
| 2514 |
-
"learning_rate": 4.7224877277103673e-07,
|
| 2515 |
-
"loss": 0.0012,
|
| 2516 |
-
"step": 418
|
| 2517 |
-
},
|
| 2518 |
-
{
|
| 2519 |
-
"epoch": 5.42,
|
| 2520 |
-
"learning_rate": 4.511879276217967e-07,
|
| 2521 |
-
"loss": 0.0014,
|
| 2522 |
-
"step": 419
|
| 2523 |
-
},
|
| 2524 |
-
{
|
| 2525 |
-
"epoch": 5.43,
|
| 2526 |
-
"learning_rate": 4.305966426779118e-07,
|
| 2527 |
-
"loss": 0.0016,
|
| 2528 |
-
"step": 420
|
| 2529 |
-
},
|
| 2530 |
-
{
|
| 2531 |
-
"epoch": 5.44,
|
| 2532 |
-
"learning_rate": 4.1047593051015245e-07,
|
| 2533 |
-
"loss": 0.0012,
|
| 2534 |
-
"step": 421
|
| 2535 |
-
},
|
| 2536 |
-
{
|
| 2537 |
-
"epoch": 5.45,
|
| 2538 |
-
"learning_rate": 3.908267805490051e-07,
|
| 2539 |
-
"loss": 0.0024,
|
| 2540 |
-
"step": 422
|
| 2541 |
-
},
|
| 2542 |
-
{
|
| 2543 |
-
"epoch": 5.47,
|
| 2544 |
-
"learning_rate": 3.7165015903600553e-07,
|
| 2545 |
-
"loss": 0.0012,
|
| 2546 |
-
"step": 423
|
| 2547 |
-
},
|
| 2548 |
-
{
|
| 2549 |
-
"epoch": 5.48,
|
| 2550 |
-
"learning_rate": 3.529470089762421e-07,
|
| 2551 |
-
"loss": 0.0014,
|
| 2552 |
-
"step": 424
|
| 2553 |
-
},
|
| 2554 |
-
{
|
| 2555 |
-
"epoch": 5.49,
|
| 2556 |
-
"learning_rate": 3.347182500919677e-07,
|
| 2557 |
-
"loss": 0.0014,
|
| 2558 |
-
"step": 425
|
| 2559 |
-
},
|
| 2560 |
-
{
|
| 2561 |
-
"epoch": 5.51,
|
| 2562 |
-
"learning_rate": 3.1696477877738664e-07,
|
| 2563 |
-
"loss": 0.0021,
|
| 2564 |
-
"step": 426
|
| 2565 |
-
},
|
| 2566 |
-
{
|
| 2567 |
-
"epoch": 5.52,
|
| 2568 |
-
"learning_rate": 2.996874680545603e-07,
|
| 2569 |
-
"loss": 0.002,
|
| 2570 |
-
"step": 427
|
| 2571 |
-
},
|
| 2572 |
-
{
|
| 2573 |
-
"epoch": 5.53,
|
| 2574 |
-
"learning_rate": 2.8288716753049007e-07,
|
| 2575 |
-
"loss": 0.0013,
|
| 2576 |
-
"step": 428
|
| 2577 |
-
},
|
| 2578 |
-
{
|
| 2579 |
-
"epoch": 5.54,
|
| 2580 |
-
"learning_rate": 2.665647033553309e-07,
|
| 2581 |
-
"loss": 0.0014,
|
| 2582 |
-
"step": 429
|
| 2583 |
-
},
|
| 2584 |
-
{
|
| 2585 |
-
"epoch": 5.56,
|
| 2586 |
-
"learning_rate": 2.507208781817638e-07,
|
| 2587 |
-
"loss": 0.0012,
|
| 2588 |
-
"step": 430
|
| 2589 |
-
},
|
| 2590 |
-
{
|
| 2591 |
-
"epoch": 5.57,
|
| 2592 |
-
"learning_rate": 2.3535647112553295e-07,
|
| 2593 |
-
"loss": 0.0018,
|
| 2594 |
-
"step": 431
|
| 2595 |
-
},
|
| 2596 |
-
{
|
| 2597 |
-
"epoch": 5.58,
|
| 2598 |
-
"learning_rate": 2.20472237727124e-07,
|
| 2599 |
-
"loss": 0.0014,
|
| 2600 |
-
"step": 432
|
| 2601 |
-
},
|
| 2602 |
-
{
|
| 2603 |
-
"epoch": 5.6,
|
| 2604 |
-
"learning_rate": 2.0606890991461737e-07,
|
| 2605 |
-
"loss": 0.0011,
|
| 2606 |
-
"step": 433
|
| 2607 |
-
},
|
| 2608 |
-
{
|
| 2609 |
-
"epoch": 5.61,
|
| 2610 |
-
"learning_rate": 1.921471959676957e-07,
|
| 2611 |
-
"loss": 0.0012,
|
| 2612 |
-
"step": 434
|
| 2613 |
-
},
|
| 2614 |
-
{
|
| 2615 |
-
"epoch": 5.62,
|
| 2616 |
-
"learning_rate": 1.787077804828097e-07,
|
| 2617 |
-
"loss": 0.0012,
|
| 2618 |
-
"step": 435
|
| 2619 |
-
},
|
| 2620 |
-
{
|
| 2621 |
-
"epoch": 5.63,
|
| 2622 |
-
"learning_rate": 1.657513243395159e-07,
|
| 2623 |
-
"loss": 0.0014,
|
| 2624 |
-
"step": 436
|
| 2625 |
-
},
|
| 2626 |
-
{
|
| 2627 |
-
"epoch": 5.65,
|
| 2628 |
-
"learning_rate": 1.5327846466797857e-07,
|
| 2629 |
-
"loss": 0.0013,
|
| 2630 |
-
"step": 437
|
| 2631 |
-
},
|
| 2632 |
-
{
|
| 2633 |
-
"epoch": 5.66,
|
| 2634 |
-
"learning_rate": 1.4128981481764115e-07,
|
| 2635 |
-
"loss": 0.0012,
|
| 2636 |
-
"step": 438
|
| 2637 |
-
},
|
| 2638 |
-
{
|
| 2639 |
-
"epoch": 5.67,
|
| 2640 |
-
"learning_rate": 1.2978596432705826e-07,
|
| 2641 |
-
"loss": 0.0013,
|
| 2642 |
-
"step": 439
|
| 2643 |
-
},
|
| 2644 |
-
{
|
| 2645 |
-
"epoch": 5.69,
|
| 2646 |
-
"learning_rate": 1.1876747889491225e-07,
|
| 2647 |
-
"loss": 0.0017,
|
| 2648 |
-
"step": 440
|
| 2649 |
-
},
|
| 2650 |
-
{
|
| 2651 |
-
"epoch": 5.7,
|
| 2652 |
-
"learning_rate": 1.0823490035218986e-07,
|
| 2653 |
-
"loss": 0.0014,
|
| 2654 |
-
"step": 441
|
| 2655 |
-
},
|
| 2656 |
-
{
|
| 2657 |
-
"epoch": 5.71,
|
| 2658 |
-
"learning_rate": 9.818874663554356e-08,
|
| 2659 |
-
"loss": 0.0021,
|
| 2660 |
-
"step": 442
|
| 2661 |
-
},
|
| 2662 |
-
{
|
| 2663 |
-
"epoch": 5.73,
|
| 2664 |
-
"learning_rate": 8.862951176181744e-08,
|
| 2665 |
-
"loss": 0.0011,
|
| 2666 |
-
"step": 443
|
| 2667 |
-
},
|
| 2668 |
-
{
|
| 2669 |
-
"epoch": 5.74,
|
| 2670 |
-
"learning_rate": 7.955766580375334e-08,
|
| 2671 |
-
"loss": 0.0013,
|
| 2672 |
-
"step": 444
|
| 2673 |
-
},
|
| 2674 |
-
{
|
| 2675 |
-
"epoch": 5.75,
|
| 2676 |
-
"learning_rate": 7.097365486688158e-08,
|
| 2677 |
-
"loss": 0.0014,
|
| 2678 |
-
"step": 445
|
| 2679 |
-
},
|
| 2680 |
-
{
|
| 2681 |
-
"epoch": 5.76,
|
| 2682 |
-
"learning_rate": 6.287790106757396e-08,
|
| 2683 |
-
"loss": 0.0012,
|
| 2684 |
-
"step": 446
|
| 2685 |
-
},
|
| 2686 |
-
{
|
| 2687 |
-
"epoch": 5.78,
|
| 2688 |
-
"learning_rate": 5.527080251229833e-08,
|
| 2689 |
-
"loss": 0.0013,
|
| 2690 |
-
"step": 447
|
| 2691 |
-
},
|
| 2692 |
-
{
|
| 2693 |
-
"epoch": 5.79,
|
| 2694 |
-
"learning_rate": 4.815273327803183e-08,
|
| 2695 |
-
"loss": 0.0013,
|
| 2696 |
-
"step": 448
|
| 2697 |
-
},
|
| 2698 |
-
{
|
| 2699 |
-
"epoch": 5.8,
|
| 2700 |
-
"learning_rate": 4.152404339386795e-08,
|
| 2701 |
-
"loss": 0.0023,
|
| 2702 |
-
"step": 449
|
| 2703 |
-
},
|
| 2704 |
-
{
|
| 2705 |
-
"epoch": 5.82,
|
| 2706 |
-
"learning_rate": 3.538505882380916e-08,
|
| 2707 |
-
"loss": 0.0014,
|
| 2708 |
-
"step": 450
|
| 2709 |
-
},
|
| 2710 |
-
{
|
| 2711 |
-
"epoch": 5.83,
|
| 2712 |
-
"learning_rate": 2.9736081450730813e-08,
|
| 2713 |
-
"loss": 0.0013,
|
| 2714 |
-
"step": 451
|
| 2715 |
-
},
|
| 2716 |
-
{
|
| 2717 |
-
"epoch": 5.84,
|
| 2718 |
-
"learning_rate": 2.4577389061539724e-08,
|
| 2719 |
-
"loss": 0.0015,
|
| 2720 |
-
"step": 452
|
| 2721 |
-
},
|
| 2722 |
-
{
|
| 2723 |
-
"epoch": 5.85,
|
| 2724 |
-
"learning_rate": 1.9909235333517296e-08,
|
| 2725 |
-
"loss": 0.0013,
|
| 2726 |
-
"step": 453
|
| 2727 |
-
},
|
| 2728 |
-
{
|
| 2729 |
-
"epoch": 5.87,
|
| 2730 |
-
"learning_rate": 1.5731849821833955e-08,
|
| 2731 |
-
"loss": 0.0012,
|
| 2732 |
-
"step": 454
|
| 2733 |
-
},
|
| 2734 |
-
{
|
| 2735 |
-
"epoch": 5.88,
|
| 2736 |
-
"learning_rate": 1.2045437948275952e-08,
|
| 2737 |
-
"loss": 0.0012,
|
| 2738 |
-
"step": 455
|
| 2739 |
-
},
|
| 2740 |
-
{
|
| 2741 |
-
"epoch": 5.89,
|
| 2742 |
-
"learning_rate": 8.850180991131219e-09,
|
| 2743 |
-
"loss": 0.0013,
|
| 2744 |
-
"step": 456
|
| 2745 |
-
},
|
| 2746 |
-
{
|
| 2747 |
-
"epoch": 5.91,
|
| 2748 |
-
"learning_rate": 6.146236076279843e-09,
|
| 2749 |
-
"loss": 0.0013,
|
| 2750 |
-
"step": 457
|
| 2751 |
-
},
|
| 2752 |
-
{
|
| 2753 |
-
"epoch": 5.92,
|
| 2754 |
-
"learning_rate": 3.933736169471347e-09,
|
| 2755 |
-
"loss": 0.0019,
|
| 2756 |
-
"step": 458
|
| 2757 |
-
},
|
| 2758 |
-
{
|
| 2759 |
-
"epoch": 5.93,
|
| 2760 |
-
"learning_rate": 2.2127900697777038e-09,
|
| 2761 |
-
"loss": 0.0012,
|
| 2762 |
-
"step": 459
|
| 2763 |
-
},
|
| 2764 |
-
{
|
| 2765 |
-
"epoch": 5.95,
|
| 2766 |
-
"learning_rate": 9.83482404249836e-10,
|
| 2767 |
-
"loss": 0.0011,
|
| 2768 |
-
"step": 460
|
| 2769 |
-
},
|
| 2770 |
-
{
|
| 2771 |
-
"epoch": 5.96,
|
| 2772 |
-
"learning_rate": 2.45873623754278e-10,
|
| 2773 |
-
"loss": 0.0014,
|
| 2774 |
-
"step": 461
|
| 2775 |
-
},
|
| 2776 |
-
{
|
| 2777 |
-
"epoch": 5.97,
|
| 2778 |
-
"learning_rate": 0.0,
|
| 2779 |
-
"loss": 0.0012,
|
| 2780 |
-
"step": 462
|
| 2781 |
-
},
|
| 2782 |
-
{
|
| 2783 |
-
"epoch": 5.97,
|
| 2784 |
-
"step": 462,
|
| 2785 |
-
"total_flos": 1.223725601702019e+18,
|
| 2786 |
-
"train_loss": 0.3808029658807184,
|
| 2787 |
-
"train_runtime": 10388.2603,
|
| 2788 |
-
"train_samples_per_second": 11.435,
|
| 2789 |
-
"train_steps_per_second": 0.044
|
| 2790 |
-
}
|
| 2791 |
-
],
|
| 2792 |
-
"max_steps": 462,
|
| 2793 |
-
"num_train_epochs": 6,
|
| 2794 |
-
"total_flos": 1.223725601702019e+18,
|
| 2795 |
-
"trial_name": null,
|
| 2796 |
-
"trial_params": null
|
| 2797 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
layout_planner_m1/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:43e7d0290e998eeed248ddf3776fd5ab72c8137d4cfaaba831ad08a833afbd4a
|
| 3 |
-
size 3707
|
|
|
|
|
|
|
|
|
|
|
|