Upload task output 5846ca31-dcde-4604-917f-3e562a84c4c9
Browse files- added_tokens.json +13 -0
- config.json +138 -0
- generation_config.json +11 -0
- loss.txt +1 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +202 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +132 -0
- trainer_state.json +1606 -0
- training_args.bin +3 -0
added_tokens.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|assistant|>": 32001,
|
| 3 |
+
"<|endoftext|>": 32000,
|
| 4 |
+
"<|end|>": 32007,
|
| 5 |
+
"<|placeholder1|>": 32002,
|
| 6 |
+
"<|placeholder2|>": 32003,
|
| 7 |
+
"<|placeholder3|>": 32004,
|
| 8 |
+
"<|placeholder4|>": 32005,
|
| 9 |
+
"<|placeholder5|>": 32008,
|
| 10 |
+
"<|placeholder6|>": 32009,
|
| 11 |
+
"<|system|>": 32006,
|
| 12 |
+
"<|user|>": 32010
|
| 13 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,138 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Phi3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"auto_map": {
|
| 8 |
+
"AutoConfig": "configuration_phi3.Phi3Config",
|
| 9 |
+
"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"
|
| 10 |
+
},
|
| 11 |
+
"bos_token_id": 1,
|
| 12 |
+
"embd_pdrop": 0.0,
|
| 13 |
+
"eos_token_id": 32000,
|
| 14 |
+
"hidden_act": "silu",
|
| 15 |
+
"hidden_size": 3072,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 8192,
|
| 18 |
+
"max_position_embeddings": 131072,
|
| 19 |
+
"model_type": "phi3",
|
| 20 |
+
"num_attention_heads": 32,
|
| 21 |
+
"num_hidden_layers": 32,
|
| 22 |
+
"num_key_value_heads": 32,
|
| 23 |
+
"original_max_position_embeddings": 4096,
|
| 24 |
+
"pad_token_id": 32000,
|
| 25 |
+
"partial_rotary_factor": 1.0,
|
| 26 |
+
"resid_pdrop": 0.0,
|
| 27 |
+
"rms_norm_eps": 1e-05,
|
| 28 |
+
"rope_scaling": {
|
| 29 |
+
"long_factor": [
|
| 30 |
+
1.0700000524520874,
|
| 31 |
+
1.1200000047683716,
|
| 32 |
+
1.149999976158142,
|
| 33 |
+
1.4199999570846558,
|
| 34 |
+
1.5699999332427979,
|
| 35 |
+
1.7999999523162842,
|
| 36 |
+
2.129999876022339,
|
| 37 |
+
2.129999876022339,
|
| 38 |
+
3.009999990463257,
|
| 39 |
+
5.910000324249268,
|
| 40 |
+
6.950000286102295,
|
| 41 |
+
9.070000648498535,
|
| 42 |
+
9.930000305175781,
|
| 43 |
+
10.710000038146973,
|
| 44 |
+
11.130000114440918,
|
| 45 |
+
14.609999656677246,
|
| 46 |
+
15.409998893737793,
|
| 47 |
+
19.809999465942383,
|
| 48 |
+
37.279998779296875,
|
| 49 |
+
38.279998779296875,
|
| 50 |
+
38.599998474121094,
|
| 51 |
+
40.12000274658203,
|
| 52 |
+
46.20000457763672,
|
| 53 |
+
50.940006256103516,
|
| 54 |
+
53.66000747680664,
|
| 55 |
+
54.9373893737793,
|
| 56 |
+
56.89738845825195,
|
| 57 |
+
57.28738784790039,
|
| 58 |
+
59.98738479614258,
|
| 59 |
+
60.86738586425781,
|
| 60 |
+
60.887386322021484,
|
| 61 |
+
61.71739196777344,
|
| 62 |
+
62.91739273071289,
|
| 63 |
+
62.957393646240234,
|
| 64 |
+
63.41739273071289,
|
| 65 |
+
63.8173942565918,
|
| 66 |
+
63.83739471435547,
|
| 67 |
+
63.897396087646484,
|
| 68 |
+
63.93739700317383,
|
| 69 |
+
64.06739807128906,
|
| 70 |
+
64.11434936523438,
|
| 71 |
+
64.12435150146484,
|
| 72 |
+
64.15435028076172,
|
| 73 |
+
64.19435119628906,
|
| 74 |
+
64.24435424804688,
|
| 75 |
+
64.57435607910156,
|
| 76 |
+
64.69000244140625,
|
| 77 |
+
64.76000213623047
|
| 78 |
+
],
|
| 79 |
+
"short_factor": [
|
| 80 |
+
1.1,
|
| 81 |
+
1.1,
|
| 82 |
+
1.1,
|
| 83 |
+
1.3000000000000003,
|
| 84 |
+
1.3500000000000003,
|
| 85 |
+
1.3500000000000003,
|
| 86 |
+
1.4000000000000004,
|
| 87 |
+
1.5500000000000005,
|
| 88 |
+
2.000000000000001,
|
| 89 |
+
2.000000000000001,
|
| 90 |
+
2.000000000000001,
|
| 91 |
+
2.000000000000001,
|
| 92 |
+
2.000000000000001,
|
| 93 |
+
2.000000000000001,
|
| 94 |
+
2.000000000000001,
|
| 95 |
+
2.000000000000001,
|
| 96 |
+
2.000000000000001,
|
| 97 |
+
2.000000000000001,
|
| 98 |
+
2.000000000000001,
|
| 99 |
+
2.000000000000001,
|
| 100 |
+
2.000000000000001,
|
| 101 |
+
2.000000000000001,
|
| 102 |
+
2.000000000000001,
|
| 103 |
+
2.000000000000001,
|
| 104 |
+
2.000000000000001,
|
| 105 |
+
2.0500000000000007,
|
| 106 |
+
2.0500000000000007,
|
| 107 |
+
2.0500000000000007,
|
| 108 |
+
2.0500000000000007,
|
| 109 |
+
2.0500000000000007,
|
| 110 |
+
2.0500000000000007,
|
| 111 |
+
2.1000000000000005,
|
| 112 |
+
2.1000000000000005,
|
| 113 |
+
2.1500000000000004,
|
| 114 |
+
2.25,
|
| 115 |
+
2.25,
|
| 116 |
+
2.25,
|
| 117 |
+
2.25,
|
| 118 |
+
2.25,
|
| 119 |
+
2.3999999999999995,
|
| 120 |
+
2.4499999999999993,
|
| 121 |
+
2.499999999999999,
|
| 122 |
+
2.6999999999999984,
|
| 123 |
+
2.6999999999999984,
|
| 124 |
+
2.7499999999999982,
|
| 125 |
+
2.799999999999998,
|
| 126 |
+
2.8999999999999977,
|
| 127 |
+
3.049999999999997
|
| 128 |
+
],
|
| 129 |
+
"type": "longrope"
|
| 130 |
+
},
|
| 131 |
+
"rope_theta": 10000.0,
|
| 132 |
+
"sliding_window": 262144,
|
| 133 |
+
"tie_word_embeddings": false,
|
| 134 |
+
"torch_dtype": "bfloat16",
|
| 135 |
+
"transformers_version": "4.51.3",
|
| 136 |
+
"use_cache": false,
|
| 137 |
+
"vocab_size": 32064
|
| 138 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
32000,
|
| 6 |
+
32001,
|
| 7 |
+
32007
|
| 8 |
+
],
|
| 9 |
+
"pad_token_id": 32000,
|
| 10 |
+
"transformers_version": "4.51.3"
|
| 11 |
+
}
|
loss.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
1101,1.6452035903930664
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f30dfbd12cc5435a6a703c704915b534122531eb5dde67864909155adf975e8
|
| 3 |
+
size 4972489328
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d03e7dacf17aea66a7be1fd65aa364a1ee422a0029d8bd024dfae1f6001cd7d
|
| 3 |
+
size 2669692552
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 7642159104
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 12 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 14 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 15 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 16 |
+
"model.layers.1.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 17 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 18 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 19 |
+
"model.layers.1.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 20 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 21 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 22 |
+
"model.layers.10.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 23 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 24 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 25 |
+
"model.layers.10.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 26 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 27 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 28 |
+
"model.layers.11.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 29 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 30 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 31 |
+
"model.layers.11.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 32 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 33 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 34 |
+
"model.layers.12.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 35 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 36 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 37 |
+
"model.layers.12.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 38 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 39 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 40 |
+
"model.layers.13.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 41 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 42 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 43 |
+
"model.layers.13.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 44 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 45 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 46 |
+
"model.layers.14.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 47 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 48 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 49 |
+
"model.layers.14.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 50 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 51 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 52 |
+
"model.layers.15.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 53 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 54 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 55 |
+
"model.layers.15.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 56 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 57 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 58 |
+
"model.layers.16.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 59 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 60 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 61 |
+
"model.layers.16.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 62 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 63 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 64 |
+
"model.layers.17.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 65 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 66 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 67 |
+
"model.layers.17.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 68 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 69 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 70 |
+
"model.layers.18.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 71 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 72 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 73 |
+
"model.layers.18.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 74 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 75 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 76 |
+
"model.layers.19.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 77 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 78 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 79 |
+
"model.layers.19.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 80 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 81 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 82 |
+
"model.layers.2.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 83 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 84 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 85 |
+
"model.layers.2.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 86 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 87 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 88 |
+
"model.layers.20.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 89 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 90 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 91 |
+
"model.layers.20.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 92 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 93 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 94 |
+
"model.layers.21.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 95 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 96 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 97 |
+
"model.layers.21.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 98 |
+
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 99 |
+
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 100 |
+
"model.layers.22.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 101 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 102 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 103 |
+
"model.layers.22.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 104 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 105 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 106 |
+
"model.layers.23.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 107 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 108 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 109 |
+
"model.layers.23.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 110 |
+
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 111 |
+
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 112 |
+
"model.layers.24.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 113 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 114 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 115 |
+
"model.layers.24.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 116 |
+
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 117 |
+
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 118 |
+
"model.layers.25.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 119 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 120 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 121 |
+
"model.layers.25.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 122 |
+
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 123 |
+
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 124 |
+
"model.layers.26.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 125 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 126 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 127 |
+
"model.layers.26.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 128 |
+
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 129 |
+
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 130 |
+
"model.layers.27.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 131 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 132 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 133 |
+
"model.layers.27.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 134 |
+
"model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 135 |
+
"model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 136 |
+
"model.layers.28.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 137 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 138 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 139 |
+
"model.layers.28.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 140 |
+
"model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 141 |
+
"model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 142 |
+
"model.layers.29.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 143 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 144 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 145 |
+
"model.layers.29.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 146 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 147 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 148 |
+
"model.layers.3.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 149 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 150 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 151 |
+
"model.layers.3.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 152 |
+
"model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 153 |
+
"model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 154 |
+
"model.layers.30.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 155 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 156 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 157 |
+
"model.layers.30.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 158 |
+
"model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 159 |
+
"model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
| 160 |
+
"model.layers.31.mlp.gate_up_proj.weight": "model-00002-of-00002.safetensors",
|
| 161 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
| 162 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
| 163 |
+
"model.layers.31.self_attn.qkv_proj.weight": "model-00002-of-00002.safetensors",
|
| 164 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 165 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 166 |
+
"model.layers.4.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 167 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 168 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 169 |
+
"model.layers.4.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 170 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 171 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 172 |
+
"model.layers.5.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 173 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 174 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 175 |
+
"model.layers.5.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 176 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 177 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 178 |
+
"model.layers.6.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 179 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 180 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 181 |
+
"model.layers.6.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 182 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 183 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 184 |
+
"model.layers.7.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 185 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 186 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 187 |
+
"model.layers.7.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 188 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 189 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 190 |
+
"model.layers.8.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 191 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 192 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 193 |
+
"model.layers.8.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 194 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 195 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
| 196 |
+
"model.layers.9.mlp.gate_up_proj.weight": "model-00001-of-00002.safetensors",
|
| 197 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
| 198 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
| 199 |
+
"model.layers.9.self_attn.qkv_proj.weight": "model-00001-of-00002.safetensors",
|
| 200 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
| 201 |
+
}
|
| 202 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,132 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": true,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<|endoftext|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "<|assistant|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": true,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"32002": {
|
| 47 |
+
"content": "<|placeholder1|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": true,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"32003": {
|
| 55 |
+
"content": "<|placeholder2|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": true,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"32004": {
|
| 63 |
+
"content": "<|placeholder3|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": true,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"32005": {
|
| 71 |
+
"content": "<|placeholder4|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": true,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"32006": {
|
| 79 |
+
"content": "<|system|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": true,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"32007": {
|
| 87 |
+
"content": "<|end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": true,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"32008": {
|
| 95 |
+
"content": "<|placeholder5|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": true,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"32009": {
|
| 103 |
+
"content": "<|placeholder6|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": true,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"32010": {
|
| 111 |
+
"content": "<|user|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": true,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
}
|
| 118 |
+
},
|
| 119 |
+
"bos_token": "<s>",
|
| 120 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
| 121 |
+
"clean_up_tokenization_spaces": false,
|
| 122 |
+
"eos_token": "<|endoftext|>",
|
| 123 |
+
"extra_special_tokens": {},
|
| 124 |
+
"legacy": false,
|
| 125 |
+
"model_max_length": 131072,
|
| 126 |
+
"pad_token": "<|endoftext|>",
|
| 127 |
+
"padding_side": "left",
|
| 128 |
+
"sp_model_kwargs": {},
|
| 129 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 130 |
+
"unk_token": "<unk>",
|
| 131 |
+
"use_default_system_prompt": false
|
| 132 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1606 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.9990925589836661,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1101,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.004537205081669692,
|
| 14 |
+
"grad_norm": 1.46875,
|
| 15 |
+
"learning_rate": 1.6907951020408165e-05,
|
| 16 |
+
"loss": 2.0714,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.009074410163339383,
|
| 21 |
+
"grad_norm": 0.921875,
|
| 22 |
+
"learning_rate": 3.804288979591837e-05,
|
| 23 |
+
"loss": 1.9914,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.013611615245009074,
|
| 28 |
+
"grad_norm": 0.85546875,
|
| 29 |
+
"learning_rate": 5.917782857142858e-05,
|
| 30 |
+
"loss": 1.9559,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.018148820326678767,
|
| 35 |
+
"grad_norm": 0.9453125,
|
| 36 |
+
"learning_rate": 8.031276734693878e-05,
|
| 37 |
+
"loss": 1.9009,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.022686025408348458,
|
| 42 |
+
"grad_norm": 0.890625,
|
| 43 |
+
"learning_rate": 0.000101447706122449,
|
| 44 |
+
"loss": 1.8664,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02722323049001815,
|
| 49 |
+
"grad_norm": 0.703125,
|
| 50 |
+
"learning_rate": 0.0001225826448979592,
|
| 51 |
+
"loss": 1.9462,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03176043557168784,
|
| 56 |
+
"grad_norm": 0.75390625,
|
| 57 |
+
"learning_rate": 0.0001437175836734694,
|
| 58 |
+
"loss": 1.915,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.036297640653357534,
|
| 63 |
+
"grad_norm": 0.6953125,
|
| 64 |
+
"learning_rate": 0.00014794416201860397,
|
| 65 |
+
"loss": 1.8992,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.04083484573502722,
|
| 70 |
+
"grad_norm": 0.73046875,
|
| 71 |
+
"learning_rate": 0.00014794249880096695,
|
| 72 |
+
"loss": 1.9069,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.045372050816696916,
|
| 77 |
+
"grad_norm": 0.69140625,
|
| 78 |
+
"learning_rate": 0.00014793955622586344,
|
| 79 |
+
"loss": 1.9164,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.0499092558983666,
|
| 84 |
+
"grad_norm": 0.65234375,
|
| 85 |
+
"learning_rate": 0.00014793533436115207,
|
| 86 |
+
"loss": 1.8856,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.0544464609800363,
|
| 91 |
+
"grad_norm": 0.6796875,
|
| 92 |
+
"learning_rate": 0.0001479298333041932,
|
| 93 |
+
"loss": 1.8771,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.05898366606170599,
|
| 98 |
+
"grad_norm": 0.65234375,
|
| 99 |
+
"learning_rate": 0.00014792305318184665,
|
| 100 |
+
"loss": 1.8856,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.06352087114337568,
|
| 105 |
+
"grad_norm": 0.66796875,
|
| 106 |
+
"learning_rate": 0.00014791499415046867,
|
| 107 |
+
"loss": 1.8609,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.06805807622504537,
|
| 112 |
+
"grad_norm": 0.6796875,
|
| 113 |
+
"learning_rate": 0.00014790565639590848,
|
| 114 |
+
"loss": 1.937,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.07259528130671507,
|
| 119 |
+
"grad_norm": 0.79296875,
|
| 120 |
+
"learning_rate": 0.00014789504013350388,
|
| 121 |
+
"loss": 1.9239,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.07713248638838476,
|
| 126 |
+
"grad_norm": 0.6171875,
|
| 127 |
+
"learning_rate": 0.00014788314560807632,
|
| 128 |
+
"loss": 1.9156,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.08166969147005444,
|
| 133 |
+
"grad_norm": 0.63671875,
|
| 134 |
+
"learning_rate": 0.00014786997309392523,
|
| 135 |
+
"loss": 1.9013,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.08620689655172414,
|
| 140 |
+
"grad_norm": 0.6640625,
|
| 141 |
+
"learning_rate": 0.00014785552289482183,
|
| 142 |
+
"loss": 1.8661,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.09074410163339383,
|
| 147 |
+
"grad_norm": 0.6328125,
|
| 148 |
+
"learning_rate": 0.00014783979534400182,
|
| 149 |
+
"loss": 1.8538,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.09528130671506352,
|
| 154 |
+
"grad_norm": 0.625,
|
| 155 |
+
"learning_rate": 0.0001478227908041581,
|
| 156 |
+
"loss": 1.8926,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.0998185117967332,
|
| 161 |
+
"grad_norm": 0.62890625,
|
| 162 |
+
"learning_rate": 0.00014780450966743198,
|
| 163 |
+
"loss": 1.8817,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.10435571687840291,
|
| 168 |
+
"grad_norm": 0.60546875,
|
| 169 |
+
"learning_rate": 0.00014778495235540456,
|
| 170 |
+
"loss": 1.8889,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.1088929219600726,
|
| 175 |
+
"grad_norm": 0.62109375,
|
| 176 |
+
"learning_rate": 0.00014776411931908664,
|
| 177 |
+
"loss": 1.8341,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.11343012704174228,
|
| 182 |
+
"grad_norm": 0.62109375,
|
| 183 |
+
"learning_rate": 0.00014774201103890853,
|
| 184 |
+
"loss": 1.8489,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.11796733212341198,
|
| 189 |
+
"grad_norm": 0.66796875,
|
| 190 |
+
"learning_rate": 0.00014771862802470895,
|
| 191 |
+
"loss": 1.8688,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.12250453720508167,
|
| 196 |
+
"grad_norm": 0.69140625,
|
| 197 |
+
"learning_rate": 0.00014769397081572318,
|
| 198 |
+
"loss": 1.8304,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.12704174228675136,
|
| 203 |
+
"grad_norm": 0.62109375,
|
| 204 |
+
"learning_rate": 0.00014766803998057077,
|
| 205 |
+
"loss": 1.8114,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.13157894736842105,
|
| 210 |
+
"grad_norm": 0.69140625,
|
| 211 |
+
"learning_rate": 0.00014764083611724224,
|
| 212 |
+
"loss": 1.8612,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.13611615245009073,
|
| 217 |
+
"grad_norm": 0.8828125,
|
| 218 |
+
"learning_rate": 0.00014761235985308546,
|
| 219 |
+
"loss": 1.8585,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.14065335753176045,
|
| 224 |
+
"grad_norm": 0.67578125,
|
| 225 |
+
"learning_rate": 0.00014758261184479108,
|
| 226 |
+
"loss": 1.8307,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.14519056261343014,
|
| 231 |
+
"grad_norm": 0.6328125,
|
| 232 |
+
"learning_rate": 0.0001475515927783775,
|
| 233 |
+
"loss": 1.9006,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.14972776769509982,
|
| 238 |
+
"grad_norm": 0.9921875,
|
| 239 |
+
"learning_rate": 0.00014751930336917481,
|
| 240 |
+
"loss": 1.8725,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.1542649727767695,
|
| 245 |
+
"grad_norm": 0.58984375,
|
| 246 |
+
"learning_rate": 0.00014748574436180864,
|
| 247 |
+
"loss": 1.8519,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.1588021778584392,
|
| 252 |
+
"grad_norm": 0.609375,
|
| 253 |
+
"learning_rate": 0.00014745091653018267,
|
| 254 |
+
"loss": 1.8826,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.16333938294010888,
|
| 259 |
+
"grad_norm": 0.59765625,
|
| 260 |
+
"learning_rate": 0.00014741482067746097,
|
| 261 |
+
"loss": 1.8518,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.16787658802177857,
|
| 266 |
+
"grad_norm": 0.61328125,
|
| 267 |
+
"learning_rate": 0.00014737745763604944,
|
| 268 |
+
"loss": 1.9203,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1724137931034483,
|
| 273 |
+
"grad_norm": 0.63671875,
|
| 274 |
+
"learning_rate": 0.00014733882826757655,
|
| 275 |
+
"loss": 1.849,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.17695099818511797,
|
| 280 |
+
"grad_norm": 0.62109375,
|
| 281 |
+
"learning_rate": 0.00014729893346287354,
|
| 282 |
+
"loss": 1.8868,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.18148820326678766,
|
| 287 |
+
"grad_norm": 0.60546875,
|
| 288 |
+
"learning_rate": 0.00014725777414195383,
|
| 289 |
+
"loss": 1.8464,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.18602540834845735,
|
| 294 |
+
"grad_norm": 0.796875,
|
| 295 |
+
"learning_rate": 0.00014721535125399195,
|
| 296 |
+
"loss": 1.8716,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.19056261343012704,
|
| 301 |
+
"grad_norm": 0.6171875,
|
| 302 |
+
"learning_rate": 0.0001471716657773013,
|
| 303 |
+
"loss": 1.879,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.19509981851179672,
|
| 308 |
+
"grad_norm": 0.5625,
|
| 309 |
+
"learning_rate": 0.00014712671871931207,
|
| 310 |
+
"loss": 1.8664,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.1996370235934664,
|
| 315 |
+
"grad_norm": 0.6171875,
|
| 316 |
+
"learning_rate": 0.00014708051111654756,
|
| 317 |
+
"loss": 1.8891,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.20417422867513613,
|
| 322 |
+
"grad_norm": 0.55859375,
|
| 323 |
+
"learning_rate": 0.00014703304403460062,
|
| 324 |
+
"loss": 1.8699,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.20871143375680581,
|
| 329 |
+
"grad_norm": 0.58203125,
|
| 330 |
+
"learning_rate": 0.00014698431856810878,
|
| 331 |
+
"loss": 1.7784,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.2132486388384755,
|
| 336 |
+
"grad_norm": 0.83984375,
|
| 337 |
+
"learning_rate": 0.00014693433584072926,
|
| 338 |
+
"loss": 1.8291,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.2177858439201452,
|
| 343 |
+
"grad_norm": 0.56640625,
|
| 344 |
+
"learning_rate": 0.00014688309700511298,
|
| 345 |
+
"loss": 1.831,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.22232304900181488,
|
| 350 |
+
"grad_norm": 0.58984375,
|
| 351 |
+
"learning_rate": 0.00014683060324287783,
|
| 352 |
+
"loss": 1.8502,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.22686025408348456,
|
| 357 |
+
"grad_norm": 0.5859375,
|
| 358 |
+
"learning_rate": 0.00014677685576458164,
|
| 359 |
+
"loss": 1.8986,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.23139745916515425,
|
| 364 |
+
"grad_norm": 0.5859375,
|
| 365 |
+
"learning_rate": 0.00014672185580969416,
|
| 366 |
+
"loss": 1.7958,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.23593466424682397,
|
| 371 |
+
"grad_norm": 0.578125,
|
| 372 |
+
"learning_rate": 0.00014666560464656842,
|
| 373 |
+
"loss": 1.8392,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.24047186932849365,
|
| 378 |
+
"grad_norm": 0.67578125,
|
| 379 |
+
"learning_rate": 0.0001466081035724116,
|
| 380 |
+
"loss": 1.8503,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.24500907441016334,
|
| 385 |
+
"grad_norm": 0.6015625,
|
| 386 |
+
"learning_rate": 0.00014654935391325503,
|
| 387 |
+
"loss": 1.8042,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.24954627949183303,
|
| 392 |
+
"grad_norm": 0.6171875,
|
| 393 |
+
"learning_rate": 0.0001464893570239237,
|
| 394 |
+
"loss": 1.8489,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.2540834845735027,
|
| 399 |
+
"grad_norm": 0.56640625,
|
| 400 |
+
"learning_rate": 0.00014642811428800486,
|
| 401 |
+
"loss": 1.786,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.25862068965517243,
|
| 406 |
+
"grad_norm": 0.578125,
|
| 407 |
+
"learning_rate": 0.00014636562711781623,
|
| 408 |
+
"loss": 1.7963,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.2631578947368421,
|
| 413 |
+
"grad_norm": 0.70703125,
|
| 414 |
+
"learning_rate": 0.00014630189695437348,
|
| 415 |
+
"loss": 1.8334,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.2676950998185118,
|
| 420 |
+
"grad_norm": 0.515625,
|
| 421 |
+
"learning_rate": 0.00014623692526735687,
|
| 422 |
+
"loss": 1.8442,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.27223230490018147,
|
| 427 |
+
"grad_norm": 0.57421875,
|
| 428 |
+
"learning_rate": 0.0001461707135550774,
|
| 429 |
+
"loss": 1.8511,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.2767695099818512,
|
| 434 |
+
"grad_norm": 1.2734375,
|
| 435 |
+
"learning_rate": 0.0001461032633444423,
|
| 436 |
+
"loss": 1.8057,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.2813067150635209,
|
| 441 |
+
"grad_norm": 0.64453125,
|
| 442 |
+
"learning_rate": 0.00014603457619091978,
|
| 443 |
+
"loss": 1.8314,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.28584392014519056,
|
| 448 |
+
"grad_norm": 0.5703125,
|
| 449 |
+
"learning_rate": 0.00014596465367850323,
|
| 450 |
+
"loss": 1.8663,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.29038112522686027,
|
| 455 |
+
"grad_norm": 0.58984375,
|
| 456 |
+
"learning_rate": 0.0001458934974196745,
|
| 457 |
+
"loss": 1.8317,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.29491833030852993,
|
| 462 |
+
"grad_norm": 0.53125,
|
| 463 |
+
"learning_rate": 0.000145821109055367,
|
| 464 |
+
"loss": 1.8226,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.29945553539019965,
|
| 469 |
+
"grad_norm": 0.55078125,
|
| 470 |
+
"learning_rate": 0.00014574749025492755,
|
| 471 |
+
"loss": 1.806,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.3039927404718693,
|
| 476 |
+
"grad_norm": 0.703125,
|
| 477 |
+
"learning_rate": 0.0001456726427160782,
|
| 478 |
+
"loss": 1.8697,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.308529945553539,
|
| 483 |
+
"grad_norm": 0.5859375,
|
| 484 |
+
"learning_rate": 0.00014559656816487678,
|
| 485 |
+
"loss": 1.8708,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.31306715063520874,
|
| 490 |
+
"grad_norm": 0.64453125,
|
| 491 |
+
"learning_rate": 0.0001455192683556773,
|
| 492 |
+
"loss": 1.7742,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.3176043557168784,
|
| 497 |
+
"grad_norm": 0.56640625,
|
| 498 |
+
"learning_rate": 0.0001454407450710894,
|
| 499 |
+
"loss": 1.8335,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.3221415607985481,
|
| 504 |
+
"grad_norm": 0.5390625,
|
| 505 |
+
"learning_rate": 0.00014536100012193726,
|
| 506 |
+
"loss": 1.8305,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.32667876588021777,
|
| 511 |
+
"grad_norm": 0.6953125,
|
| 512 |
+
"learning_rate": 0.0001452800353472179,
|
| 513 |
+
"loss": 1.8292,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.3312159709618875,
|
| 518 |
+
"grad_norm": 0.53125,
|
| 519 |
+
"learning_rate": 0.00014519785261405869,
|
| 520 |
+
"loss": 1.8466,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.33575317604355714,
|
| 525 |
+
"grad_norm": 0.53125,
|
| 526 |
+
"learning_rate": 0.00014511445381767423,
|
| 527 |
+
"loss": 1.8178,
|
| 528 |
+
"step": 370
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.34029038112522686,
|
| 532 |
+
"grad_norm": 0.5234375,
|
| 533 |
+
"learning_rate": 0.00014502984088132293,
|
| 534 |
+
"loss": 1.7921,
|
| 535 |
+
"step": 375
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.3448275862068966,
|
| 539 |
+
"grad_norm": 0.5703125,
|
| 540 |
+
"learning_rate": 0.00014494401575626225,
|
| 541 |
+
"loss": 1.8203,
|
| 542 |
+
"step": 380
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.34936479128856623,
|
| 546 |
+
"grad_norm": 0.578125,
|
| 547 |
+
"learning_rate": 0.00014485698042170404,
|
| 548 |
+
"loss": 1.7927,
|
| 549 |
+
"step": 385
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.35390199637023595,
|
| 553 |
+
"grad_norm": 0.56640625,
|
| 554 |
+
"learning_rate": 0.00014476873688476876,
|
| 555 |
+
"loss": 1.8242,
|
| 556 |
+
"step": 390
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.3584392014519056,
|
| 560 |
+
"grad_norm": 0.57421875,
|
| 561 |
+
"learning_rate": 0.0001446792871804392,
|
| 562 |
+
"loss": 1.8131,
|
| 563 |
+
"step": 395
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.3629764065335753,
|
| 567 |
+
"grad_norm": 0.546875,
|
| 568 |
+
"learning_rate": 0.00014458863337151349,
|
| 569 |
+
"loss": 1.8587,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.367513611615245,
|
| 574 |
+
"grad_norm": 0.6640625,
|
| 575 |
+
"learning_rate": 0.0001444967775485577,
|
| 576 |
+
"loss": 1.7851,
|
| 577 |
+
"step": 405
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.3720508166969147,
|
| 581 |
+
"grad_norm": 0.55078125,
|
| 582 |
+
"learning_rate": 0.00014440372182985745,
|
| 583 |
+
"loss": 1.8071,
|
| 584 |
+
"step": 410
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.3765880217785844,
|
| 588 |
+
"grad_norm": 0.5703125,
|
| 589 |
+
"learning_rate": 0.00014430946836136918,
|
| 590 |
+
"loss": 1.7995,
|
| 591 |
+
"step": 415
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.3811252268602541,
|
| 595 |
+
"grad_norm": 0.60546875,
|
| 596 |
+
"learning_rate": 0.0001442140193166706,
|
| 597 |
+
"loss": 1.7947,
|
| 598 |
+
"step": 420
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.3856624319419238,
|
| 602 |
+
"grad_norm": 0.5546875,
|
| 603 |
+
"learning_rate": 0.00014411737689691058,
|
| 604 |
+
"loss": 1.7898,
|
| 605 |
+
"step": 425
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.39019963702359345,
|
| 609 |
+
"grad_norm": 0.81640625,
|
| 610 |
+
"learning_rate": 0.0001440195433307584,
|
| 611 |
+
"loss": 1.8306,
|
| 612 |
+
"step": 430
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.39473684210526316,
|
| 616 |
+
"grad_norm": 0.578125,
|
| 617 |
+
"learning_rate": 0.00014392052087435238,
|
| 618 |
+
"loss": 1.7914,
|
| 619 |
+
"step": 435
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.3992740471869328,
|
| 623 |
+
"grad_norm": 0.6171875,
|
| 624 |
+
"learning_rate": 0.00014382031181124774,
|
| 625 |
+
"loss": 1.8376,
|
| 626 |
+
"step": 440
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.40381125226860254,
|
| 630 |
+
"grad_norm": 0.5625,
|
| 631 |
+
"learning_rate": 0.00014371891845236406,
|
| 632 |
+
"loss": 1.7989,
|
| 633 |
+
"step": 445
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.40834845735027225,
|
| 637 |
+
"grad_norm": 0.5625,
|
| 638 |
+
"learning_rate": 0.00014361634313593197,
|
| 639 |
+
"loss": 1.8062,
|
| 640 |
+
"step": 450
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.4128856624319419,
|
| 644 |
+
"grad_norm": 0.671875,
|
| 645 |
+
"learning_rate": 0.0001435125882274392,
|
| 646 |
+
"loss": 1.831,
|
| 647 |
+
"step": 455
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.41742286751361163,
|
| 651 |
+
"grad_norm": 0.65234375,
|
| 652 |
+
"learning_rate": 0.00014340765611957598,
|
| 653 |
+
"loss": 1.7798,
|
| 654 |
+
"step": 460
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.4219600725952813,
|
| 658 |
+
"grad_norm": 0.5703125,
|
| 659 |
+
"learning_rate": 0.00014330154923217997,
|
| 660 |
+
"loss": 1.8022,
|
| 661 |
+
"step": 465
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.426497277676951,
|
| 665 |
+
"grad_norm": 0.640625,
|
| 666 |
+
"learning_rate": 0.0001431942700121804,
|
| 667 |
+
"loss": 1.8054,
|
| 668 |
+
"step": 470
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.43103448275862066,
|
| 672 |
+
"grad_norm": 0.5234375,
|
| 673 |
+
"learning_rate": 0.0001430858209335416,
|
| 674 |
+
"loss": 1.8397,
|
| 675 |
+
"step": 475
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.4355716878402904,
|
| 679 |
+
"grad_norm": 0.57421875,
|
| 680 |
+
"learning_rate": 0.00014297620449720602,
|
| 681 |
+
"loss": 1.8211,
|
| 682 |
+
"step": 480
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.4401088929219601,
|
| 686 |
+
"grad_norm": 0.65234375,
|
| 687 |
+
"learning_rate": 0.00014286542323103656,
|
| 688 |
+
"loss": 1.8092,
|
| 689 |
+
"step": 485
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.44464609800362975,
|
| 693 |
+
"grad_norm": 0.62109375,
|
| 694 |
+
"learning_rate": 0.00014275347968975818,
|
| 695 |
+
"loss": 1.8197,
|
| 696 |
+
"step": 490
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.44918330308529947,
|
| 700 |
+
"grad_norm": 0.56640625,
|
| 701 |
+
"learning_rate": 0.00014264037645489905,
|
| 702 |
+
"loss": 1.7599,
|
| 703 |
+
"step": 495
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.4537205081669691,
|
| 707 |
+
"grad_norm": 0.6015625,
|
| 708 |
+
"learning_rate": 0.0001425261161347311,
|
| 709 |
+
"loss": 1.785,
|
| 710 |
+
"step": 500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.4537205081669691,
|
| 714 |
+
"eval_loss": 1.744194507598877,
|
| 715 |
+
"eval_runtime": 4.2905,
|
| 716 |
+
"eval_samples_per_second": 14.917,
|
| 717 |
+
"eval_steps_per_second": 14.917,
|
| 718 |
+
"step": 500
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.45825771324863884,
|
| 722 |
+
"grad_norm": 0.57421875,
|
| 723 |
+
"learning_rate": 0.00014241070136420967,
|
| 724 |
+
"loss": 1.7713,
|
| 725 |
+
"step": 505
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.4627949183303085,
|
| 729 |
+
"grad_norm": 0.57421875,
|
| 730 |
+
"learning_rate": 0.00014229413480491295,
|
| 731 |
+
"loss": 1.77,
|
| 732 |
+
"step": 510
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 0.4673321234119782,
|
| 736 |
+
"grad_norm": 0.59375,
|
| 737 |
+
"learning_rate": 0.00014217641914498046,
|
| 738 |
+
"loss": 1.8009,
|
| 739 |
+
"step": 515
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.47186932849364793,
|
| 743 |
+
"grad_norm": 0.671875,
|
| 744 |
+
"learning_rate": 0.00014205755709905117,
|
| 745 |
+
"loss": 1.8003,
|
| 746 |
+
"step": 520
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 0.4764065335753176,
|
| 750 |
+
"grad_norm": 0.78125,
|
| 751 |
+
"learning_rate": 0.00014193755140820072,
|
| 752 |
+
"loss": 1.8183,
|
| 753 |
+
"step": 525
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 0.4809437386569873,
|
| 757 |
+
"grad_norm": 0.55859375,
|
| 758 |
+
"learning_rate": 0.00014181640483987848,
|
| 759 |
+
"loss": 1.8192,
|
| 760 |
+
"step": 530
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 0.48548094373865697,
|
| 764 |
+
"grad_norm": 0.62890625,
|
| 765 |
+
"learning_rate": 0.00014169412018784347,
|
| 766 |
+
"loss": 1.7721,
|
| 767 |
+
"step": 535
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 0.4900181488203267,
|
| 771 |
+
"grad_norm": 0.66015625,
|
| 772 |
+
"learning_rate": 0.0001415707002721001,
|
| 773 |
+
"loss": 1.8054,
|
| 774 |
+
"step": 540
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 0.4945553539019964,
|
| 778 |
+
"grad_norm": 0.6328125,
|
| 779 |
+
"learning_rate": 0.000141446147938833,
|
| 780 |
+
"loss": 1.7558,
|
| 781 |
+
"step": 545
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.49909255898366606,
|
| 785 |
+
"grad_norm": 0.55078125,
|
| 786 |
+
"learning_rate": 0.00014132046606034153,
|
| 787 |
+
"loss": 1.8106,
|
| 788 |
+
"step": 550
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.5036297640653358,
|
| 792 |
+
"grad_norm": 0.5625,
|
| 793 |
+
"learning_rate": 0.0001411936575349735,
|
| 794 |
+
"loss": 1.8088,
|
| 795 |
+
"step": 555
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.5081669691470054,
|
| 799 |
+
"grad_norm": 0.54296875,
|
| 800 |
+
"learning_rate": 0.00014106572528705823,
|
| 801 |
+
"loss": 1.8421,
|
| 802 |
+
"step": 560
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 0.5127041742286751,
|
| 806 |
+
"grad_norm": 0.52734375,
|
| 807 |
+
"learning_rate": 0.0001409366722668392,
|
| 808 |
+
"loss": 1.8159,
|
| 809 |
+
"step": 565
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 0.5172413793103449,
|
| 813 |
+
"grad_norm": 0.53515625,
|
| 814 |
+
"learning_rate": 0.00014080650145040604,
|
| 815 |
+
"loss": 1.7016,
|
| 816 |
+
"step": 570
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 0.5217785843920145,
|
| 820 |
+
"grad_norm": 0.55078125,
|
| 821 |
+
"learning_rate": 0.00014067521583962587,
|
| 822 |
+
"loss": 1.7653,
|
| 823 |
+
"step": 575
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 0.5263157894736842,
|
| 827 |
+
"grad_norm": 0.53515625,
|
| 828 |
+
"learning_rate": 0.000140542818462074,
|
| 829 |
+
"loss": 1.7371,
|
| 830 |
+
"step": 580
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.530852994555354,
|
| 834 |
+
"grad_norm": 0.5078125,
|
| 835 |
+
"learning_rate": 0.00014040931237096425,
|
| 836 |
+
"loss": 1.7618,
|
| 837 |
+
"step": 585
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.5353901996370236,
|
| 841 |
+
"grad_norm": 0.56640625,
|
| 842 |
+
"learning_rate": 0.00014027470064507838,
|
| 843 |
+
"loss": 1.8225,
|
| 844 |
+
"step": 590
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 0.5399274047186933,
|
| 848 |
+
"grad_norm": 0.56640625,
|
| 849 |
+
"learning_rate": 0.00014013898638869527,
|
| 850 |
+
"loss": 1.8137,
|
| 851 |
+
"step": 595
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 0.5444646098003629,
|
| 855 |
+
"grad_norm": 0.6875,
|
| 856 |
+
"learning_rate": 0.00014000217273151913,
|
| 857 |
+
"loss": 1.75,
|
| 858 |
+
"step": 600
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.5490018148820327,
|
| 862 |
+
"grad_norm": 0.55078125,
|
| 863 |
+
"learning_rate": 0.00013986426282860755,
|
| 864 |
+
"loss": 1.7745,
|
| 865 |
+
"step": 605
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.5535390199637024,
|
| 869 |
+
"grad_norm": 0.5625,
|
| 870 |
+
"learning_rate": 0.00013972525986029856,
|
| 871 |
+
"loss": 1.7694,
|
| 872 |
+
"step": 610
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.558076225045372,
|
| 876 |
+
"grad_norm": 0.55078125,
|
| 877 |
+
"learning_rate": 0.00013958516703213735,
|
| 878 |
+
"loss": 1.75,
|
| 879 |
+
"step": 615
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.5626134301270418,
|
| 883 |
+
"grad_norm": 0.5546875,
|
| 884 |
+
"learning_rate": 0.00013944398757480237,
|
| 885 |
+
"loss": 1.7743,
|
| 886 |
+
"step": 620
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.5671506352087115,
|
| 890 |
+
"grad_norm": 0.49609375,
|
| 891 |
+
"learning_rate": 0.00013930172474403083,
|
| 892 |
+
"loss": 1.7893,
|
| 893 |
+
"step": 625
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 0.5716878402903811,
|
| 897 |
+
"grad_norm": 0.52734375,
|
| 898 |
+
"learning_rate": 0.00013915838182054354,
|
| 899 |
+
"loss": 1.7614,
|
| 900 |
+
"step": 630
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 0.5762250453720508,
|
| 904 |
+
"grad_norm": 0.60546875,
|
| 905 |
+
"learning_rate": 0.0001390139621099693,
|
| 906 |
+
"loss": 1.7126,
|
| 907 |
+
"step": 635
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 0.5807622504537205,
|
| 911 |
+
"grad_norm": 0.58203125,
|
| 912 |
+
"learning_rate": 0.0001388684689427688,
|
| 913 |
+
"loss": 1.7882,
|
| 914 |
+
"step": 640
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.5852994555353902,
|
| 918 |
+
"grad_norm": 0.55859375,
|
| 919 |
+
"learning_rate": 0.0001387219056741576,
|
| 920 |
+
"loss": 1.7766,
|
| 921 |
+
"step": 645
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.5898366606170599,
|
| 925 |
+
"grad_norm": 0.52734375,
|
| 926 |
+
"learning_rate": 0.0001385742756840288,
|
| 927 |
+
"loss": 1.7522,
|
| 928 |
+
"step": 650
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 0.5943738656987296,
|
| 932 |
+
"grad_norm": 0.5546875,
|
| 933 |
+
"learning_rate": 0.0001384255823768753,
|
| 934 |
+
"loss": 1.8185,
|
| 935 |
+
"step": 655
|
| 936 |
+
},
|
| 937 |
+
{
|
| 938 |
+
"epoch": 0.5989110707803993,
|
| 939 |
+
"grad_norm": 0.6640625,
|
| 940 |
+
"learning_rate": 0.00013827582918171102,
|
| 941 |
+
"loss": 1.786,
|
| 942 |
+
"step": 660
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 0.603448275862069,
|
| 946 |
+
"grad_norm": 0.59765625,
|
| 947 |
+
"learning_rate": 0.00013812501955199195,
|
| 948 |
+
"loss": 1.8142,
|
| 949 |
+
"step": 665
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 0.6079854809437386,
|
| 953 |
+
"grad_norm": 0.6015625,
|
| 954 |
+
"learning_rate": 0.00013797315696553652,
|
| 955 |
+
"loss": 1.8174,
|
| 956 |
+
"step": 670
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 0.6125226860254084,
|
| 960 |
+
"grad_norm": 0.53125,
|
| 961 |
+
"learning_rate": 0.00013782024492444542,
|
| 962 |
+
"loss": 1.7349,
|
| 963 |
+
"step": 675
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 0.617059891107078,
|
| 967 |
+
"grad_norm": 0.58203125,
|
| 968 |
+
"learning_rate": 0.0001376662869550207,
|
| 969 |
+
"loss": 1.7705,
|
| 970 |
+
"step": 680
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 0.6215970961887477,
|
| 974 |
+
"grad_norm": 0.5703125,
|
| 975 |
+
"learning_rate": 0.00013751128660768468,
|
| 976 |
+
"loss": 1.7593,
|
| 977 |
+
"step": 685
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 0.6261343012704175,
|
| 981 |
+
"grad_norm": 0.609375,
|
| 982 |
+
"learning_rate": 0.0001373552474568978,
|
| 983 |
+
"loss": 1.8741,
|
| 984 |
+
"step": 690
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 0.6306715063520871,
|
| 988 |
+
"grad_norm": 0.56640625,
|
| 989 |
+
"learning_rate": 0.0001371981731010764,
|
| 990 |
+
"loss": 1.7808,
|
| 991 |
+
"step": 695
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.6352087114337568,
|
| 995 |
+
"grad_norm": 0.5703125,
|
| 996 |
+
"learning_rate": 0.0001370400671625097,
|
| 997 |
+
"loss": 1.712,
|
| 998 |
+
"step": 700
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.6397459165154264,
|
| 1002 |
+
"grad_norm": 1.2578125,
|
| 1003 |
+
"learning_rate": 0.00013688093328727613,
|
| 1004 |
+
"loss": 1.7588,
|
| 1005 |
+
"step": 705
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.6442831215970962,
|
| 1009 |
+
"grad_norm": 0.64453125,
|
| 1010 |
+
"learning_rate": 0.00013672077514515946,
|
| 1011 |
+
"loss": 1.7494,
|
| 1012 |
+
"step": 710
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 0.6488203266787659,
|
| 1016 |
+
"grad_norm": 0.59375,
|
| 1017 |
+
"learning_rate": 0.00013655959642956399,
|
| 1018 |
+
"loss": 1.7665,
|
| 1019 |
+
"step": 715
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 0.6533575317604355,
|
| 1023 |
+
"grad_norm": 0.54296875,
|
| 1024 |
+
"learning_rate": 0.00013639740085742951,
|
| 1025 |
+
"loss": 1.7562,
|
| 1026 |
+
"step": 720
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.6578947368421053,
|
| 1030 |
+
"grad_norm": 0.55078125,
|
| 1031 |
+
"learning_rate": 0.00013623419216914545,
|
| 1032 |
+
"loss": 1.7741,
|
| 1033 |
+
"step": 725
|
| 1034 |
+
},
|
| 1035 |
+
{
|
| 1036 |
+
"epoch": 0.662431941923775,
|
| 1037 |
+
"grad_norm": 0.51953125,
|
| 1038 |
+
"learning_rate": 0.00013606997412846474,
|
| 1039 |
+
"loss": 1.7657,
|
| 1040 |
+
"step": 730
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.6669691470054446,
|
| 1044 |
+
"grad_norm": 0.53515625,
|
| 1045 |
+
"learning_rate": 0.00013590475052241695,
|
| 1046 |
+
"loss": 1.714,
|
| 1047 |
+
"step": 735
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.6715063520871143,
|
| 1051 |
+
"grad_norm": 0.546875,
|
| 1052 |
+
"learning_rate": 0.00013573852516122104,
|
| 1053 |
+
"loss": 1.7763,
|
| 1054 |
+
"step": 740
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 0.6760435571687841,
|
| 1058 |
+
"grad_norm": 0.57421875,
|
| 1059 |
+
"learning_rate": 0.0001355713018781973,
|
| 1060 |
+
"loss": 1.7801,
|
| 1061 |
+
"step": 745
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.6805807622504537,
|
| 1065 |
+
"grad_norm": 0.54296875,
|
| 1066 |
+
"learning_rate": 0.00013540308452967919,
|
| 1067 |
+
"loss": 1.7655,
|
| 1068 |
+
"step": 750
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 0.6851179673321234,
|
| 1072 |
+
"grad_norm": 0.62109375,
|
| 1073 |
+
"learning_rate": 0.00013523387699492426,
|
| 1074 |
+
"loss": 1.7433,
|
| 1075 |
+
"step": 755
|
| 1076 |
+
},
|
| 1077 |
+
{
|
| 1078 |
+
"epoch": 0.6896551724137931,
|
| 1079 |
+
"grad_norm": 0.53515625,
|
| 1080 |
+
"learning_rate": 0.00013506368317602475,
|
| 1081 |
+
"loss": 1.8206,
|
| 1082 |
+
"step": 760
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 0.6941923774954628,
|
| 1086 |
+
"grad_norm": 0.5390625,
|
| 1087 |
+
"learning_rate": 0.00013489250699781752,
|
| 1088 |
+
"loss": 1.7338,
|
| 1089 |
+
"step": 765
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.6987295825771325,
|
| 1093 |
+
"grad_norm": 0.53125,
|
| 1094 |
+
"learning_rate": 0.0001347203524077937,
|
| 1095 |
+
"loss": 1.7672,
|
| 1096 |
+
"step": 770
|
| 1097 |
+
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 0.7032667876588021,
|
| 1100 |
+
"grad_norm": 0.578125,
|
| 1101 |
+
"learning_rate": 0.0001345472233760075,
|
| 1102 |
+
"loss": 1.7835,
|
| 1103 |
+
"step": 775
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 0.7078039927404719,
|
| 1107 |
+
"grad_norm": 0.59765625,
|
| 1108 |
+
"learning_rate": 0.0001343731238949847,
|
| 1109 |
+
"loss": 1.7657,
|
| 1110 |
+
"step": 780
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 0.7123411978221416,
|
| 1114 |
+
"grad_norm": 0.60546875,
|
| 1115 |
+
"learning_rate": 0.0001341980579796306,
|
| 1116 |
+
"loss": 1.7414,
|
| 1117 |
+
"step": 785
|
| 1118 |
+
},
|
| 1119 |
+
{
|
| 1120 |
+
"epoch": 0.7168784029038112,
|
| 1121 |
+
"grad_norm": 0.53125,
|
| 1122 |
+
"learning_rate": 0.00013402202966713748,
|
| 1123 |
+
"loss": 1.7147,
|
| 1124 |
+
"step": 790
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 0.721415607985481,
|
| 1128 |
+
"grad_norm": 0.498046875,
|
| 1129 |
+
"learning_rate": 0.0001338450430168914,
|
| 1130 |
+
"loss": 1.7195,
|
| 1131 |
+
"step": 795
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 0.7259528130671506,
|
| 1135 |
+
"grad_norm": 0.62109375,
|
| 1136 |
+
"learning_rate": 0.0001336671021103786,
|
| 1137 |
+
"loss": 1.7685,
|
| 1138 |
+
"step": 800
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 0.7304900181488203,
|
| 1142 |
+
"grad_norm": 0.63671875,
|
| 1143 |
+
"learning_rate": 0.0001334882110510915,
|
| 1144 |
+
"loss": 1.7556,
|
| 1145 |
+
"step": 805
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 0.73502722323049,
|
| 1149 |
+
"grad_norm": 0.5625,
|
| 1150 |
+
"learning_rate": 0.00013330837396443391,
|
| 1151 |
+
"loss": 1.7322,
|
| 1152 |
+
"step": 810
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 0.7395644283121597,
|
| 1156 |
+
"grad_norm": 0.5703125,
|
| 1157 |
+
"learning_rate": 0.00013312759499762596,
|
| 1158 |
+
"loss": 1.7304,
|
| 1159 |
+
"step": 815
|
| 1160 |
+
},
|
| 1161 |
+
{
|
| 1162 |
+
"epoch": 0.7441016333938294,
|
| 1163 |
+
"grad_norm": 0.5390625,
|
| 1164 |
+
"learning_rate": 0.0001329458783196085,
|
| 1165 |
+
"loss": 1.7372,
|
| 1166 |
+
"step": 820
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 0.7486388384754991,
|
| 1170 |
+
"grad_norm": 0.56640625,
|
| 1171 |
+
"learning_rate": 0.00013276322812094687,
|
| 1172 |
+
"loss": 1.7411,
|
| 1173 |
+
"step": 825
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 0.7531760435571688,
|
| 1177 |
+
"grad_norm": 0.54296875,
|
| 1178 |
+
"learning_rate": 0.00013257964861373438,
|
| 1179 |
+
"loss": 1.791,
|
| 1180 |
+
"step": 830
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 0.7577132486388385,
|
| 1184 |
+
"grad_norm": 0.64453125,
|
| 1185 |
+
"learning_rate": 0.0001323951440314951,
|
| 1186 |
+
"loss": 1.7303,
|
| 1187 |
+
"step": 835
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 0.7622504537205081,
|
| 1191 |
+
"grad_norm": 0.5390625,
|
| 1192 |
+
"learning_rate": 0.00013220971862908614,
|
| 1193 |
+
"loss": 1.7399,
|
| 1194 |
+
"step": 840
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 0.7667876588021778,
|
| 1198 |
+
"grad_norm": 0.58203125,
|
| 1199 |
+
"learning_rate": 0.00013202337668259976,
|
| 1200 |
+
"loss": 1.7357,
|
| 1201 |
+
"step": 845
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 0.7713248638838476,
|
| 1205 |
+
"grad_norm": 0.5234375,
|
| 1206 |
+
"learning_rate": 0.00013183612248926458,
|
| 1207 |
+
"loss": 1.7571,
|
| 1208 |
+
"step": 850
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 0.7758620689655172,
|
| 1212 |
+
"grad_norm": 0.515625,
|
| 1213 |
+
"learning_rate": 0.00013164796036734647,
|
| 1214 |
+
"loss": 1.7881,
|
| 1215 |
+
"step": 855
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 0.7803992740471869,
|
| 1219 |
+
"grad_norm": 0.63671875,
|
| 1220 |
+
"learning_rate": 0.00013145889465604913,
|
| 1221 |
+
"loss": 1.7136,
|
| 1222 |
+
"step": 860
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 0.7849364791288567,
|
| 1226 |
+
"grad_norm": 0.5625,
|
| 1227 |
+
"learning_rate": 0.00013126892971541387,
|
| 1228 |
+
"loss": 1.7307,
|
| 1229 |
+
"step": 865
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 0.7894736842105263,
|
| 1233 |
+
"grad_norm": 0.6640625,
|
| 1234 |
+
"learning_rate": 0.0001310780699262191,
|
| 1235 |
+
"loss": 1.7888,
|
| 1236 |
+
"step": 870
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 0.794010889292196,
|
| 1240 |
+
"grad_norm": 0.5390625,
|
| 1241 |
+
"learning_rate": 0.00013088631968987934,
|
| 1242 |
+
"loss": 1.7088,
|
| 1243 |
+
"step": 875
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"epoch": 0.7985480943738656,
|
| 1247 |
+
"grad_norm": 0.51953125,
|
| 1248 |
+
"learning_rate": 0.00013069368342834368,
|
| 1249 |
+
"loss": 1.796,
|
| 1250 |
+
"step": 880
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 0.8030852994555354,
|
| 1254 |
+
"grad_norm": 0.57421875,
|
| 1255 |
+
"learning_rate": 0.00013050016558399384,
|
| 1256 |
+
"loss": 1.708,
|
| 1257 |
+
"step": 885
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 0.8076225045372051,
|
| 1261 |
+
"grad_norm": 0.515625,
|
| 1262 |
+
"learning_rate": 0.00013030577061954167,
|
| 1263 |
+
"loss": 1.7503,
|
| 1264 |
+
"step": 890
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 0.8121597096188747,
|
| 1268 |
+
"grad_norm": 0.64453125,
|
| 1269 |
+
"learning_rate": 0.00013011050301792632,
|
| 1270 |
+
"loss": 1.7318,
|
| 1271 |
+
"step": 895
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 0.8166969147005445,
|
| 1275 |
+
"grad_norm": 0.53515625,
|
| 1276 |
+
"learning_rate": 0.00012991436728221082,
|
| 1277 |
+
"loss": 1.7336,
|
| 1278 |
+
"step": 900
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 0.8212341197822142,
|
| 1282 |
+
"grad_norm": 0.5078125,
|
| 1283 |
+
"learning_rate": 0.00012971736793547815,
|
| 1284 |
+
"loss": 1.7983,
|
| 1285 |
+
"step": 905
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"epoch": 0.8257713248638838,
|
| 1289 |
+
"grad_norm": 0.52734375,
|
| 1290 |
+
"learning_rate": 0.00012951950952072713,
|
| 1291 |
+
"loss": 1.7139,
|
| 1292 |
+
"step": 910
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 0.8303085299455535,
|
| 1296 |
+
"grad_norm": 0.5234375,
|
| 1297 |
+
"learning_rate": 0.00012932079660076738,
|
| 1298 |
+
"loss": 1.7785,
|
| 1299 |
+
"step": 915
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 0.8348457350272233,
|
| 1303 |
+
"grad_norm": 0.58203125,
|
| 1304 |
+
"learning_rate": 0.0001291212337581144,
|
| 1305 |
+
"loss": 1.7315,
|
| 1306 |
+
"step": 920
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 0.8393829401088929,
|
| 1310 |
+
"grad_norm": 0.51171875,
|
| 1311 |
+
"learning_rate": 0.00012892082559488361,
|
| 1312 |
+
"loss": 1.7943,
|
| 1313 |
+
"step": 925
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 0.8439201451905626,
|
| 1317 |
+
"grad_norm": 0.59765625,
|
| 1318 |
+
"learning_rate": 0.0001287195767326845,
|
| 1319 |
+
"loss": 1.7686,
|
| 1320 |
+
"step": 930
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 0.8484573502722323,
|
| 1324 |
+
"grad_norm": 0.50390625,
|
| 1325 |
+
"learning_rate": 0.00012851749181251373,
|
| 1326 |
+
"loss": 1.7367,
|
| 1327 |
+
"step": 935
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 0.852994555353902,
|
| 1331 |
+
"grad_norm": 0.57421875,
|
| 1332 |
+
"learning_rate": 0.00012831457549464847,
|
| 1333 |
+
"loss": 1.7854,
|
| 1334 |
+
"step": 940
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 0.8575317604355717,
|
| 1338 |
+
"grad_norm": 0.578125,
|
| 1339 |
+
"learning_rate": 0.0001281108324585386,
|
| 1340 |
+
"loss": 1.76,
|
| 1341 |
+
"step": 945
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 0.8620689655172413,
|
| 1345 |
+
"grad_norm": 0.5078125,
|
| 1346 |
+
"learning_rate": 0.00012790626740269897,
|
| 1347 |
+
"loss": 1.6915,
|
| 1348 |
+
"step": 950
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 0.8666061705989111,
|
| 1352 |
+
"grad_norm": 0.51953125,
|
| 1353 |
+
"learning_rate": 0.00012770088504460107,
|
| 1354 |
+
"loss": 1.7474,
|
| 1355 |
+
"step": 955
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 0.8711433756805808,
|
| 1359 |
+
"grad_norm": 0.55859375,
|
| 1360 |
+
"learning_rate": 0.00012749469012056407,
|
| 1361 |
+
"loss": 1.7116,
|
| 1362 |
+
"step": 960
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 0.8756805807622504,
|
| 1366 |
+
"grad_norm": 0.50390625,
|
| 1367 |
+
"learning_rate": 0.00012728768738564584,
|
| 1368 |
+
"loss": 1.691,
|
| 1369 |
+
"step": 965
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"epoch": 0.8802177858439202,
|
| 1373 |
+
"grad_norm": 0.52734375,
|
| 1374 |
+
"learning_rate": 0.00012707988161353307,
|
| 1375 |
+
"loss": 1.7683,
|
| 1376 |
+
"step": 970
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 0.8847549909255898,
|
| 1380 |
+
"grad_norm": 0.546875,
|
| 1381 |
+
"learning_rate": 0.00012687127759643133,
|
| 1382 |
+
"loss": 1.7294,
|
| 1383 |
+
"step": 975
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 0.8892921960072595,
|
| 1387 |
+
"grad_norm": 0.5546875,
|
| 1388 |
+
"learning_rate": 0.00012666188014495442,
|
| 1389 |
+
"loss": 1.7616,
|
| 1390 |
+
"step": 980
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 0.8938294010889292,
|
| 1394 |
+
"grad_norm": 0.51953125,
|
| 1395 |
+
"learning_rate": 0.0001264516940880137,
|
| 1396 |
+
"loss": 1.7111,
|
| 1397 |
+
"step": 985
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 0.8983666061705989,
|
| 1401 |
+
"grad_norm": 0.80859375,
|
| 1402 |
+
"learning_rate": 0.00012624072427270633,
|
| 1403 |
+
"loss": 1.6731,
|
| 1404 |
+
"step": 990
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 0.9029038112522686,
|
| 1408 |
+
"grad_norm": 0.57421875,
|
| 1409 |
+
"learning_rate": 0.00012602897556420386,
|
| 1410 |
+
"loss": 1.7093,
|
| 1411 |
+
"step": 995
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 0.9074410163339383,
|
| 1415 |
+
"grad_norm": 0.51953125,
|
| 1416 |
+
"learning_rate": 0.00012581645284563981,
|
| 1417 |
+
"loss": 1.7539,
|
| 1418 |
+
"step": 1000
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 0.9074410163339383,
|
| 1422 |
+
"eval_loss": 1.6703623533248901,
|
| 1423 |
+
"eval_runtime": 4.0596,
|
| 1424 |
+
"eval_samples_per_second": 15.765,
|
| 1425 |
+
"eval_steps_per_second": 15.765,
|
| 1426 |
+
"step": 1000
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 0.911978221415608,
|
| 1430 |
+
"grad_norm": 0.515625,
|
| 1431 |
+
"learning_rate": 0.00012560316101799718,
|
| 1432 |
+
"loss": 1.7018,
|
| 1433 |
+
"step": 1005
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 0.9165154264972777,
|
| 1437 |
+
"grad_norm": 0.5546875,
|
| 1438 |
+
"learning_rate": 0.00012538910499999527,
|
| 1439 |
+
"loss": 1.7085,
|
| 1440 |
+
"step": 1010
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 0.9210526315789473,
|
| 1444 |
+
"grad_norm": 0.5703125,
|
| 1445 |
+
"learning_rate": 0.0001251742897279766,
|
| 1446 |
+
"loss": 1.7526,
|
| 1447 |
+
"step": 1015
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 0.925589836660617,
|
| 1451 |
+
"grad_norm": 0.54296875,
|
| 1452 |
+
"learning_rate": 0.00012495872015579255,
|
| 1453 |
+
"loss": 1.7121,
|
| 1454 |
+
"step": 1020
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 0.9283121597096189,
|
| 1458 |
+
"eval_loss": 1.6611651182174683,
|
| 1459 |
+
"eval_runtime": 4.1505,
|
| 1460 |
+
"eval_samples_per_second": 15.42,
|
| 1461 |
+
"eval_steps_per_second": 15.42,
|
| 1462 |
+
"step": 1023
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"epoch": 0.9301270417422868,
|
| 1466 |
+
"grad_norm": 0.5703125,
|
| 1467 |
+
"learning_rate": 0.0001247424012546896,
|
| 1468 |
+
"loss": 1.7569,
|
| 1469 |
+
"step": 1025
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 0.9346642468239564,
|
| 1473 |
+
"grad_norm": 0.515625,
|
| 1474 |
+
"learning_rate": 0.0001245253380131944,
|
| 1475 |
+
"loss": 1.7379,
|
| 1476 |
+
"step": 1030
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 0.9392014519056261,
|
| 1480 |
+
"grad_norm": 1.59375,
|
| 1481 |
+
"learning_rate": 0.0001243075354369989,
|
| 1482 |
+
"loss": 1.7344,
|
| 1483 |
+
"step": 1035
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 0.9437386569872959,
|
| 1487 |
+
"grad_norm": 0.65625,
|
| 1488 |
+
"learning_rate": 0.00012408899854884475,
|
| 1489 |
+
"loss": 1.7376,
|
| 1490 |
+
"step": 1040
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 0.9482758620689655,
|
| 1494 |
+
"grad_norm": 0.54296875,
|
| 1495 |
+
"learning_rate": 0.00012386973238840757,
|
| 1496 |
+
"loss": 1.7244,
|
| 1497 |
+
"step": 1045
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 0.9528130671506352,
|
| 1501 |
+
"grad_norm": 0.5234375,
|
| 1502 |
+
"learning_rate": 0.0001236497420121808,
|
| 1503 |
+
"loss": 1.7126,
|
| 1504 |
+
"step": 1050
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 0.957350272232305,
|
| 1508 |
+
"grad_norm": 0.494140625,
|
| 1509 |
+
"learning_rate": 0.0001234290324933589,
|
| 1510 |
+
"loss": 1.7429,
|
| 1511 |
+
"step": 1055
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 0.9618874773139746,
|
| 1515 |
+
"grad_norm": 0.58203125,
|
| 1516 |
+
"learning_rate": 0.00012320760892172057,
|
| 1517 |
+
"loss": 1.7277,
|
| 1518 |
+
"step": 1060
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 0.9664246823956443,
|
| 1522 |
+
"grad_norm": 0.52734375,
|
| 1523 |
+
"learning_rate": 0.00012298547640351114,
|
| 1524 |
+
"loss": 1.7246,
|
| 1525 |
+
"step": 1065
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 0.9709618874773139,
|
| 1529 |
+
"grad_norm": 0.546875,
|
| 1530 |
+
"learning_rate": 0.00012276264006132504,
|
| 1531 |
+
"loss": 1.6859,
|
| 1532 |
+
"step": 1070
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 0.9754990925589837,
|
| 1536 |
+
"grad_norm": 0.53515625,
|
| 1537 |
+
"learning_rate": 0.0001225391050339876,
|
| 1538 |
+
"loss": 1.707,
|
| 1539 |
+
"step": 1075
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 0.9800362976406534,
|
| 1543 |
+
"grad_norm": 0.515625,
|
| 1544 |
+
"learning_rate": 0.00012231487647643643,
|
| 1545 |
+
"loss": 1.7146,
|
| 1546 |
+
"step": 1080
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 0.984573502722323,
|
| 1550 |
+
"grad_norm": 0.5078125,
|
| 1551 |
+
"learning_rate": 0.00012208995955960268,
|
| 1552 |
+
"loss": 1.7443,
|
| 1553 |
+
"step": 1085
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 0.9891107078039928,
|
| 1557 |
+
"grad_norm": 0.55078125,
|
| 1558 |
+
"learning_rate": 0.00012186435947029172,
|
| 1559 |
+
"loss": 1.71,
|
| 1560 |
+
"step": 1090
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 0.9936479128856625,
|
| 1564 |
+
"grad_norm": 0.609375,
|
| 1565 |
+
"learning_rate": 0.00012163808141106358,
|
| 1566 |
+
"loss": 1.7209,
|
| 1567 |
+
"step": 1095
|
| 1568 |
+
},
|
| 1569 |
+
{
|
| 1570 |
+
"epoch": 0.9981851179673321,
|
| 1571 |
+
"grad_norm": 0.52734375,
|
| 1572 |
+
"learning_rate": 0.0001214111306001129,
|
| 1573 |
+
"loss": 1.769,
|
| 1574 |
+
"step": 1100
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 0.9990925589836661,
|
| 1578 |
+
"eval_loss": 1.6452035903930664,
|
| 1579 |
+
"eval_runtime": 4.1352,
|
| 1580 |
+
"eval_samples_per_second": 15.477,
|
| 1581 |
+
"eval_steps_per_second": 15.477,
|
| 1582 |
+
"step": 1101
|
| 1583 |
+
}
|
| 1584 |
+
],
|
| 1585 |
+
"logging_steps": 5,
|
| 1586 |
+
"max_steps": 3306,
|
| 1587 |
+
"num_input_tokens_seen": 0,
|
| 1588 |
+
"num_train_epochs": 3,
|
| 1589 |
+
"save_steps": 500,
|
| 1590 |
+
"stateful_callbacks": {
|
| 1591 |
+
"TrainerControl": {
|
| 1592 |
+
"args": {
|
| 1593 |
+
"should_epoch_stop": false,
|
| 1594 |
+
"should_evaluate": false,
|
| 1595 |
+
"should_log": false,
|
| 1596 |
+
"should_save": true,
|
| 1597 |
+
"should_training_stop": false
|
| 1598 |
+
},
|
| 1599 |
+
"attributes": {}
|
| 1600 |
+
}
|
| 1601 |
+
},
|
| 1602 |
+
"total_flos": 2.4174287097755075e+18,
|
| 1603 |
+
"train_batch_size": 48,
|
| 1604 |
+
"trial_name": null,
|
| 1605 |
+
"trial_params": null
|
| 1606 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f3e2a6b8c0ffd529b7fa0111e83a77715efc7ac879aee268d9f58eaf00f9f68
|
| 3 |
+
size 5624
|