“Sara
commited on
Commit
•
757559b
1
Parent(s):
3d4c22f
adding model files
Browse files- added_tokens.json +11 -0
- config.json +28 -0
- generation_config.json +10 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +82 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +124 -0
- trainer_state.json +1341 -0
- training_args.bin +3 -0
added_tokens.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</headline>": 32008,
|
3 |
+
"</scratchpad>": 32006,
|
4 |
+
"<</SYS>>": 32004,
|
5 |
+
"<<SYS>>": 32003,
|
6 |
+
"<headline>": 32007,
|
7 |
+
"<pad>": 32000,
|
8 |
+
"<scratchpad>": 32005,
|
9 |
+
"[/INST]": 32002,
|
10 |
+
"[INST]": 32001
|
11 |
+
}
|
config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "meta-llama/Llama-2-7b-hf",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 11008,
|
14 |
+
"max_position_embeddings": 4096,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 32,
|
18 |
+
"num_key_value_heads": 32,
|
19 |
+
"pretraining_tp": 1,
|
20 |
+
"rms_norm_eps": 1e-05,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 10000.0,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "float32",
|
25 |
+
"transformers_version": "4.40.2",
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 32016
|
28 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"max_length": 4096,
|
6 |
+
"pad_token_id": 0,
|
7 |
+
"temperature": 0.6,
|
8 |
+
"top_p": 0.9,
|
9 |
+
"transformers_version": "4.40.2"
|
10 |
+
}
|
model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c9c88bd85e3bb1a9740d9ef6782abed2a9240bbd34a1f4a6db80b6fb564f1b45
|
3 |
+
size 4840658560
|
model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:49b56125989120f9873a2b09d2d56e78be51c421eee3a81585a6c0933173662a
|
3 |
+
size 4857206856
|
model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c3683735f52c796a51cce4d2c0d2188bfaf2c57c64cede6bad1d73b4f2e29914
|
3 |
+
size 4857206904
|
model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:700b03719e7d69484244ac6ac41b017751f7bd4a7fef0936a2f3155ceb8e9b28
|
3 |
+
size 4857206904
|
model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca83b7fa3f42f761919bac166bba617750e8de018aab7e31034404b5f3bc6f78
|
3 |
+
size 4857206904
|
model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6561a9bd0f842edff07861779901208e56d927d9d4e036c4ae3cc9a166c9fb4b
|
3 |
+
size 2684734256
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 26954186752
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
296 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
297 |
+
}
|
298 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
{
|
4 |
+
"content": "[INST]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": true
|
9 |
+
},
|
10 |
+
{
|
11 |
+
"content": "[/INST]",
|
12 |
+
"lstrip": false,
|
13 |
+
"normalized": false,
|
14 |
+
"rstrip": false,
|
15 |
+
"single_word": true
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"content": "<<SYS>>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": true
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"content": "<</SYS>>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": true
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"content": "<scratchpad>",
|
33 |
+
"lstrip": false,
|
34 |
+
"normalized": false,
|
35 |
+
"rstrip": false,
|
36 |
+
"single_word": true
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"content": "</scratchpad>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": true
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"content": "<headline>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": true
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"content": "</headline>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": true
|
58 |
+
}
|
59 |
+
],
|
60 |
+
"bos_token": {
|
61 |
+
"content": "<s>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false
|
66 |
+
},
|
67 |
+
"eos_token": {
|
68 |
+
"content": "</s>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false
|
73 |
+
},
|
74 |
+
"pad_token": "<pad>",
|
75 |
+
"unk_token": {
|
76 |
+
"content": "<unk>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false
|
81 |
+
}
|
82 |
+
}
|
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 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32000": {
|
30 |
+
"content": "<pad>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32001": {
|
38 |
+
"content": "[INST]",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": true,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"32002": {
|
46 |
+
"content": "[/INST]",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": true,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"32003": {
|
54 |
+
"content": "<<SYS>>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": true,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"32004": {
|
62 |
+
"content": "<</SYS>>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": true,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"32005": {
|
70 |
+
"content": "<scratchpad>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": true,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"32006": {
|
78 |
+
"content": "</scratchpad>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": true,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"32007": {
|
86 |
+
"content": "<headline>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": true,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"32008": {
|
94 |
+
"content": "</headline>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": true,
|
99 |
+
"special": true
|
100 |
+
}
|
101 |
+
},
|
102 |
+
"additional_special_tokens": [
|
103 |
+
"[INST]",
|
104 |
+
"[/INST]",
|
105 |
+
"<<SYS>>",
|
106 |
+
"<</SYS>>",
|
107 |
+
"<scratchpad>",
|
108 |
+
"</scratchpad>",
|
109 |
+
"<headline>",
|
110 |
+
"</headline>"
|
111 |
+
],
|
112 |
+
"bos_token": "<s>",
|
113 |
+
"clean_up_tokenization_spaces": false,
|
114 |
+
"eos_token": "</s>",
|
115 |
+
"legacy": false,
|
116 |
+
"model_max_length": 1000000000000000019884624838656,
|
117 |
+
"pad_to_multiple_of": 8,
|
118 |
+
"pad_token": "<pad>",
|
119 |
+
"padding_side": "left",
|
120 |
+
"sp_model_kwargs": {},
|
121 |
+
"tokenizer_class": "LlamaTokenizer",
|
122 |
+
"unk_token": "<unk>",
|
123 |
+
"use_default_system_prompt": false
|
124 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1341 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 4.4,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 4400,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.05,
|
13 |
+
"grad_norm": 14.10602855682373,
|
14 |
+
"learning_rate": 1.0000000000000002e-06,
|
15 |
+
"loss": 1.8587,
|
16 |
+
"step": 50
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.05,
|
20 |
+
"eval_loss": 1.2815256118774414,
|
21 |
+
"eval_runtime": 7.2572,
|
22 |
+
"eval_samples_per_second": 21.496,
|
23 |
+
"eval_steps_per_second": 1.102,
|
24 |
+
"step": 50
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.1,
|
28 |
+
"grad_norm": 3.8822596073150635,
|
29 |
+
"learning_rate": 2.0000000000000003e-06,
|
30 |
+
"loss": 0.9793,
|
31 |
+
"step": 100
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.1,
|
35 |
+
"eval_loss": 0.8040891885757446,
|
36 |
+
"eval_runtime": 6.9312,
|
37 |
+
"eval_samples_per_second": 22.507,
|
38 |
+
"eval_steps_per_second": 1.154,
|
39 |
+
"step": 100
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.15,
|
43 |
+
"grad_norm": 3.275252342224121,
|
44 |
+
"learning_rate": 3e-06,
|
45 |
+
"loss": 0.8281,
|
46 |
+
"step": 150
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.15,
|
50 |
+
"eval_loss": 0.7676830291748047,
|
51 |
+
"eval_runtime": 6.9165,
|
52 |
+
"eval_samples_per_second": 22.555,
|
53 |
+
"eval_steps_per_second": 1.157,
|
54 |
+
"step": 150
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.2,
|
58 |
+
"grad_norm": 4.560257911682129,
|
59 |
+
"learning_rate": 4.000000000000001e-06,
|
60 |
+
"loss": 0.8047,
|
61 |
+
"step": 200
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.2,
|
65 |
+
"eval_loss": 0.754139244556427,
|
66 |
+
"eval_runtime": 6.8938,
|
67 |
+
"eval_samples_per_second": 22.629,
|
68 |
+
"eval_steps_per_second": 1.16,
|
69 |
+
"step": 200
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.25,
|
73 |
+
"grad_norm": 3.3556413650512695,
|
74 |
+
"learning_rate": 5e-06,
|
75 |
+
"loss": 0.7938,
|
76 |
+
"step": 250
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.25,
|
80 |
+
"eval_loss": 0.7503063678741455,
|
81 |
+
"eval_runtime": 6.9277,
|
82 |
+
"eval_samples_per_second": 22.518,
|
83 |
+
"eval_steps_per_second": 1.155,
|
84 |
+
"step": 250
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.3,
|
88 |
+
"grad_norm": 3.5572423934936523,
|
89 |
+
"learning_rate": 6e-06,
|
90 |
+
"loss": 0.7844,
|
91 |
+
"step": 300
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.3,
|
95 |
+
"eval_loss": 0.7483159899711609,
|
96 |
+
"eval_runtime": 6.9026,
|
97 |
+
"eval_samples_per_second": 22.6,
|
98 |
+
"eval_steps_per_second": 1.159,
|
99 |
+
"step": 300
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.35,
|
103 |
+
"grad_norm": 4.340659141540527,
|
104 |
+
"learning_rate": 7e-06,
|
105 |
+
"loss": 0.801,
|
106 |
+
"step": 350
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.35,
|
110 |
+
"eval_loss": 0.7476052641868591,
|
111 |
+
"eval_runtime": 6.9601,
|
112 |
+
"eval_samples_per_second": 22.413,
|
113 |
+
"eval_steps_per_second": 1.149,
|
114 |
+
"step": 350
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.4,
|
118 |
+
"grad_norm": 2.8037617206573486,
|
119 |
+
"learning_rate": 8.000000000000001e-06,
|
120 |
+
"loss": 0.7688,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.4,
|
125 |
+
"eval_loss": 0.7439323663711548,
|
126 |
+
"eval_runtime": 7.0577,
|
127 |
+
"eval_samples_per_second": 22.103,
|
128 |
+
"eval_steps_per_second": 1.134,
|
129 |
+
"step": 400
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.45,
|
133 |
+
"grad_norm": 2.2928292751312256,
|
134 |
+
"learning_rate": 9e-06,
|
135 |
+
"loss": 0.7456,
|
136 |
+
"step": 450
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.45,
|
140 |
+
"eval_loss": 0.7496309280395508,
|
141 |
+
"eval_runtime": 6.7005,
|
142 |
+
"eval_samples_per_second": 23.282,
|
143 |
+
"eval_steps_per_second": 1.194,
|
144 |
+
"step": 450
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.5,
|
148 |
+
"grad_norm": 2.513007402420044,
|
149 |
+
"learning_rate": 1e-05,
|
150 |
+
"loss": 0.7574,
|
151 |
+
"step": 500
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.5,
|
155 |
+
"eval_loss": 0.760431170463562,
|
156 |
+
"eval_runtime": 6.9914,
|
157 |
+
"eval_samples_per_second": 22.313,
|
158 |
+
"eval_steps_per_second": 1.144,
|
159 |
+
"step": 500
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.55,
|
163 |
+
"grad_norm": 2.8724193572998047,
|
164 |
+
"learning_rate": 1.1000000000000001e-05,
|
165 |
+
"loss": 0.8103,
|
166 |
+
"step": 550
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 0.55,
|
170 |
+
"eval_loss": 0.7596396207809448,
|
171 |
+
"eval_runtime": 6.9713,
|
172 |
+
"eval_samples_per_second": 22.378,
|
173 |
+
"eval_steps_per_second": 1.148,
|
174 |
+
"step": 550
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.6,
|
178 |
+
"grad_norm": 3.944561719894409,
|
179 |
+
"learning_rate": 1.2e-05,
|
180 |
+
"loss": 0.8383,
|
181 |
+
"step": 600
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.6,
|
185 |
+
"eval_loss": 0.7577062249183655,
|
186 |
+
"eval_runtime": 6.9749,
|
187 |
+
"eval_samples_per_second": 22.366,
|
188 |
+
"eval_steps_per_second": 1.147,
|
189 |
+
"step": 600
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.65,
|
193 |
+
"grad_norm": 3.3384244441986084,
|
194 |
+
"learning_rate": 1.3000000000000001e-05,
|
195 |
+
"loss": 0.807,
|
196 |
+
"step": 650
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.65,
|
200 |
+
"eval_loss": 0.7623900175094604,
|
201 |
+
"eval_runtime": 7.0043,
|
202 |
+
"eval_samples_per_second": 22.272,
|
203 |
+
"eval_steps_per_second": 1.142,
|
204 |
+
"step": 650
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.7,
|
208 |
+
"grad_norm": 3.0667245388031006,
|
209 |
+
"learning_rate": 1.4e-05,
|
210 |
+
"loss": 0.7463,
|
211 |
+
"step": 700
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.7,
|
215 |
+
"eval_loss": 0.7695620656013489,
|
216 |
+
"eval_runtime": 6.901,
|
217 |
+
"eval_samples_per_second": 22.606,
|
218 |
+
"eval_steps_per_second": 1.159,
|
219 |
+
"step": 700
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.75,
|
223 |
+
"grad_norm": 2.665961503982544,
|
224 |
+
"learning_rate": 1.5000000000000002e-05,
|
225 |
+
"loss": 0.7642,
|
226 |
+
"step": 750
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.75,
|
230 |
+
"eval_loss": 0.7753486037254333,
|
231 |
+
"eval_runtime": 6.928,
|
232 |
+
"eval_samples_per_second": 22.517,
|
233 |
+
"eval_steps_per_second": 1.155,
|
234 |
+
"step": 750
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.8,
|
238 |
+
"grad_norm": 2.939502477645874,
|
239 |
+
"learning_rate": 1.6000000000000003e-05,
|
240 |
+
"loss": 0.7815,
|
241 |
+
"step": 800
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.8,
|
245 |
+
"eval_loss": 0.7749003171920776,
|
246 |
+
"eval_runtime": 6.9232,
|
247 |
+
"eval_samples_per_second": 22.533,
|
248 |
+
"eval_steps_per_second": 1.156,
|
249 |
+
"step": 800
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.85,
|
253 |
+
"grad_norm": 2.3935534954071045,
|
254 |
+
"learning_rate": 1.7e-05,
|
255 |
+
"loss": 0.8035,
|
256 |
+
"step": 850
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.85,
|
260 |
+
"eval_loss": 0.7803038954734802,
|
261 |
+
"eval_runtime": 6.9127,
|
262 |
+
"eval_samples_per_second": 22.567,
|
263 |
+
"eval_steps_per_second": 1.157,
|
264 |
+
"step": 850
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.9,
|
268 |
+
"grad_norm": 3.4815456867218018,
|
269 |
+
"learning_rate": 1.8e-05,
|
270 |
+
"loss": 0.8308,
|
271 |
+
"step": 900
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.9,
|
275 |
+
"eval_loss": 0.7828717827796936,
|
276 |
+
"eval_runtime": 6.9328,
|
277 |
+
"eval_samples_per_second": 22.502,
|
278 |
+
"eval_steps_per_second": 1.154,
|
279 |
+
"step": 900
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.95,
|
283 |
+
"grad_norm": 4.300642490386963,
|
284 |
+
"learning_rate": 1.9e-05,
|
285 |
+
"loss": 0.8076,
|
286 |
+
"step": 950
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 0.95,
|
290 |
+
"eval_loss": 0.7808383107185364,
|
291 |
+
"eval_runtime": 6.9657,
|
292 |
+
"eval_samples_per_second": 22.396,
|
293 |
+
"eval_steps_per_second": 1.148,
|
294 |
+
"step": 950
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.0,
|
298 |
+
"grad_norm": 1.9347244501113892,
|
299 |
+
"learning_rate": 2e-05,
|
300 |
+
"loss": 0.8275,
|
301 |
+
"step": 1000
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 1.0,
|
305 |
+
"eval_loss": 0.7858062982559204,
|
306 |
+
"eval_runtime": 6.9369,
|
307 |
+
"eval_samples_per_second": 22.488,
|
308 |
+
"eval_steps_per_second": 1.153,
|
309 |
+
"step": 1000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.05,
|
313 |
+
"grad_norm": 2.5742897987365723,
|
314 |
+
"learning_rate": 1.9998476951563914e-05,
|
315 |
+
"loss": 0.5636,
|
316 |
+
"step": 1050
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 1.05,
|
320 |
+
"eval_loss": 0.8295591473579407,
|
321 |
+
"eval_runtime": 7.0273,
|
322 |
+
"eval_samples_per_second": 22.199,
|
323 |
+
"eval_steps_per_second": 1.138,
|
324 |
+
"step": 1050
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.1,
|
328 |
+
"grad_norm": 2.8644659519195557,
|
329 |
+
"learning_rate": 1.999390827019096e-05,
|
330 |
+
"loss": 0.5272,
|
331 |
+
"step": 1100
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 1.1,
|
335 |
+
"eval_loss": 0.8290258646011353,
|
336 |
+
"eval_runtime": 6.7042,
|
337 |
+
"eval_samples_per_second": 23.269,
|
338 |
+
"eval_steps_per_second": 1.193,
|
339 |
+
"step": 1100
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.15,
|
343 |
+
"grad_norm": 2.5120139122009277,
|
344 |
+
"learning_rate": 1.9986295347545738e-05,
|
345 |
+
"loss": 0.5827,
|
346 |
+
"step": 1150
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 1.15,
|
350 |
+
"eval_loss": 0.8223973512649536,
|
351 |
+
"eval_runtime": 6.9562,
|
352 |
+
"eval_samples_per_second": 22.426,
|
353 |
+
"eval_steps_per_second": 1.15,
|
354 |
+
"step": 1150
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.2,
|
358 |
+
"grad_norm": 2.4437294006347656,
|
359 |
+
"learning_rate": 1.9975640502598243e-05,
|
360 |
+
"loss": 0.5405,
|
361 |
+
"step": 1200
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 1.2,
|
365 |
+
"eval_loss": 0.8263209462165833,
|
366 |
+
"eval_runtime": 6.9428,
|
367 |
+
"eval_samples_per_second": 22.469,
|
368 |
+
"eval_steps_per_second": 1.152,
|
369 |
+
"step": 1200
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.25,
|
373 |
+
"grad_norm": 2.228208303451538,
|
374 |
+
"learning_rate": 1.9961946980917457e-05,
|
375 |
+
"loss": 0.544,
|
376 |
+
"step": 1250
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 1.25,
|
380 |
+
"eval_loss": 0.8332598805427551,
|
381 |
+
"eval_runtime": 7.0103,
|
382 |
+
"eval_samples_per_second": 22.253,
|
383 |
+
"eval_steps_per_second": 1.141,
|
384 |
+
"step": 1250
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 1.3,
|
388 |
+
"grad_norm": 2.4918081760406494,
|
389 |
+
"learning_rate": 1.9945218953682736e-05,
|
390 |
+
"loss": 0.547,
|
391 |
+
"step": 1300
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 1.3,
|
395 |
+
"eval_loss": 0.8328695297241211,
|
396 |
+
"eval_runtime": 6.7754,
|
397 |
+
"eval_samples_per_second": 23.024,
|
398 |
+
"eval_steps_per_second": 1.181,
|
399 |
+
"step": 1300
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 1.35,
|
403 |
+
"grad_norm": 3.276204824447632,
|
404 |
+
"learning_rate": 1.9925461516413224e-05,
|
405 |
+
"loss": 0.5767,
|
406 |
+
"step": 1350
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 1.35,
|
410 |
+
"eval_loss": 0.835900604724884,
|
411 |
+
"eval_runtime": 7.0628,
|
412 |
+
"eval_samples_per_second": 22.087,
|
413 |
+
"eval_steps_per_second": 1.133,
|
414 |
+
"step": 1350
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 1.4,
|
418 |
+
"grad_norm": 1.7088249921798706,
|
419 |
+
"learning_rate": 1.9902680687415704e-05,
|
420 |
+
"loss": 0.5688,
|
421 |
+
"step": 1400
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 1.4,
|
425 |
+
"eval_loss": 0.8228172063827515,
|
426 |
+
"eval_runtime": 7.1179,
|
427 |
+
"eval_samples_per_second": 21.917,
|
428 |
+
"eval_steps_per_second": 1.124,
|
429 |
+
"step": 1400
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.45,
|
433 |
+
"grad_norm": 2.187713146209717,
|
434 |
+
"learning_rate": 1.9876883405951378e-05,
|
435 |
+
"loss": 0.5728,
|
436 |
+
"step": 1450
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.45,
|
440 |
+
"eval_loss": 0.8308163285255432,
|
441 |
+
"eval_runtime": 6.9337,
|
442 |
+
"eval_samples_per_second": 22.499,
|
443 |
+
"eval_steps_per_second": 1.154,
|
444 |
+
"step": 1450
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 1.5,
|
448 |
+
"grad_norm": 2.2441632747650146,
|
449 |
+
"learning_rate": 1.9848077530122083e-05,
|
450 |
+
"loss": 0.5418,
|
451 |
+
"step": 1500
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 1.5,
|
455 |
+
"eval_loss": 0.8370471596717834,
|
456 |
+
"eval_runtime": 6.9593,
|
457 |
+
"eval_samples_per_second": 22.416,
|
458 |
+
"eval_steps_per_second": 1.15,
|
459 |
+
"step": 1500
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.55,
|
463 |
+
"grad_norm": 1.869532585144043,
|
464 |
+
"learning_rate": 1.9816271834476642e-05,
|
465 |
+
"loss": 0.5711,
|
466 |
+
"step": 1550
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.55,
|
470 |
+
"eval_loss": 0.8113475441932678,
|
471 |
+
"eval_runtime": 6.9514,
|
472 |
+
"eval_samples_per_second": 22.441,
|
473 |
+
"eval_steps_per_second": 1.151,
|
474 |
+
"step": 1550
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 1.6,
|
478 |
+
"grad_norm": 2.4652626514434814,
|
479 |
+
"learning_rate": 1.9781476007338058e-05,
|
480 |
+
"loss": 0.574,
|
481 |
+
"step": 1600
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 1.6,
|
485 |
+
"eval_loss": 0.8253814578056335,
|
486 |
+
"eval_runtime": 7.0005,
|
487 |
+
"eval_samples_per_second": 22.284,
|
488 |
+
"eval_steps_per_second": 1.143,
|
489 |
+
"step": 1600
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 1.65,
|
493 |
+
"grad_norm": 2.070685386657715,
|
494 |
+
"learning_rate": 1.9743700647852356e-05,
|
495 |
+
"loss": 0.5671,
|
496 |
+
"step": 1650
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 1.65,
|
500 |
+
"eval_loss": 0.8208895921707153,
|
501 |
+
"eval_runtime": 6.9799,
|
502 |
+
"eval_samples_per_second": 22.35,
|
503 |
+
"eval_steps_per_second": 1.146,
|
504 |
+
"step": 1650
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 1.7,
|
508 |
+
"grad_norm": 2.0222079753875732,
|
509 |
+
"learning_rate": 1.9702957262759964e-05,
|
510 |
+
"loss": 0.5972,
|
511 |
+
"step": 1700
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 1.7,
|
515 |
+
"eval_loss": 0.8163178563117981,
|
516 |
+
"eval_runtime": 6.7184,
|
517 |
+
"eval_samples_per_second": 23.22,
|
518 |
+
"eval_steps_per_second": 1.191,
|
519 |
+
"step": 1700
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 1.75,
|
523 |
+
"grad_norm": 2.8927528858184814,
|
524 |
+
"learning_rate": 1.9659258262890683e-05,
|
525 |
+
"loss": 0.5754,
|
526 |
+
"step": 1750
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 1.75,
|
530 |
+
"eval_loss": 0.8138474225997925,
|
531 |
+
"eval_runtime": 6.9225,
|
532 |
+
"eval_samples_per_second": 22.535,
|
533 |
+
"eval_steps_per_second": 1.156,
|
534 |
+
"step": 1750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 1.8,
|
538 |
+
"grad_norm": 2.848783493041992,
|
539 |
+
"learning_rate": 1.961261695938319e-05,
|
540 |
+
"loss": 0.5687,
|
541 |
+
"step": 1800
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 1.8,
|
545 |
+
"eval_loss": 0.8202130198478699,
|
546 |
+
"eval_runtime": 6.9651,
|
547 |
+
"eval_samples_per_second": 22.397,
|
548 |
+
"eval_steps_per_second": 1.149,
|
549 |
+
"step": 1800
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.85,
|
553 |
+
"grad_norm": 2.328615188598633,
|
554 |
+
"learning_rate": 1.9563047559630356e-05,
|
555 |
+
"loss": 0.5798,
|
556 |
+
"step": 1850
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.85,
|
560 |
+
"eval_loss": 0.8171597123146057,
|
561 |
+
"eval_runtime": 7.0576,
|
562 |
+
"eval_samples_per_second": 22.104,
|
563 |
+
"eval_steps_per_second": 1.134,
|
564 |
+
"step": 1850
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 1.9,
|
568 |
+
"grad_norm": 2.039862871170044,
|
569 |
+
"learning_rate": 1.9510565162951538e-05,
|
570 |
+
"loss": 0.5994,
|
571 |
+
"step": 1900
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 1.9,
|
575 |
+
"eval_loss": 0.8086227774620056,
|
576 |
+
"eval_runtime": 6.7431,
|
577 |
+
"eval_samples_per_second": 23.135,
|
578 |
+
"eval_steps_per_second": 1.186,
|
579 |
+
"step": 1900
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 1.95,
|
583 |
+
"grad_norm": 2.465532064437866,
|
584 |
+
"learning_rate": 1.945518575599317e-05,
|
585 |
+
"loss": 0.5583,
|
586 |
+
"step": 1950
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 1.95,
|
590 |
+
"eval_loss": 0.8103993535041809,
|
591 |
+
"eval_runtime": 6.9308,
|
592 |
+
"eval_samples_per_second": 22.508,
|
593 |
+
"eval_steps_per_second": 1.154,
|
594 |
+
"step": 1950
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 2.0,
|
598 |
+
"grad_norm": 2.5345568656921387,
|
599 |
+
"learning_rate": 1.9396926207859085e-05,
|
600 |
+
"loss": 0.5925,
|
601 |
+
"step": 2000
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 2.0,
|
605 |
+
"eval_loss": 0.8217712044715881,
|
606 |
+
"eval_runtime": 7.0596,
|
607 |
+
"eval_samples_per_second": 22.097,
|
608 |
+
"eval_steps_per_second": 1.133,
|
609 |
+
"step": 2000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 2.05,
|
613 |
+
"grad_norm": 1.883388638496399,
|
614 |
+
"learning_rate": 1.9335804264972018e-05,
|
615 |
+
"loss": 0.2903,
|
616 |
+
"step": 2050
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 2.05,
|
620 |
+
"eval_loss": 0.9038016200065613,
|
621 |
+
"eval_runtime": 6.6993,
|
622 |
+
"eval_samples_per_second": 23.286,
|
623 |
+
"eval_steps_per_second": 1.194,
|
624 |
+
"step": 2050
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 2.1,
|
628 |
+
"grad_norm": 2.125532865524292,
|
629 |
+
"learning_rate": 1.9271838545667876e-05,
|
630 |
+
"loss": 0.2939,
|
631 |
+
"step": 2100
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 2.1,
|
635 |
+
"eval_loss": 0.9306617379188538,
|
636 |
+
"eval_runtime": 7.0134,
|
637 |
+
"eval_samples_per_second": 22.243,
|
638 |
+
"eval_steps_per_second": 1.141,
|
639 |
+
"step": 2100
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 2.15,
|
643 |
+
"grad_norm": 1.8348636627197266,
|
644 |
+
"learning_rate": 1.9205048534524405e-05,
|
645 |
+
"loss": 0.2847,
|
646 |
+
"step": 2150
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 2.15,
|
650 |
+
"eval_loss": 0.927678644657135,
|
651 |
+
"eval_runtime": 6.9793,
|
652 |
+
"eval_samples_per_second": 22.352,
|
653 |
+
"eval_steps_per_second": 1.146,
|
654 |
+
"step": 2150
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 2.2,
|
658 |
+
"grad_norm": 1.950291395187378,
|
659 |
+
"learning_rate": 1.913545457642601e-05,
|
660 |
+
"loss": 0.2816,
|
661 |
+
"step": 2200
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 2.2,
|
665 |
+
"eval_loss": 0.9336847066879272,
|
666 |
+
"eval_runtime": 6.9608,
|
667 |
+
"eval_samples_per_second": 22.411,
|
668 |
+
"eval_steps_per_second": 1.149,
|
669 |
+
"step": 2200
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 2.25,
|
673 |
+
"grad_norm": 1.860474944114685,
|
674 |
+
"learning_rate": 1.9063077870366504e-05,
|
675 |
+
"loss": 0.2852,
|
676 |
+
"step": 2250
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 2.25,
|
680 |
+
"eval_loss": 0.9168179035186768,
|
681 |
+
"eval_runtime": 6.9583,
|
682 |
+
"eval_samples_per_second": 22.419,
|
683 |
+
"eval_steps_per_second": 1.15,
|
684 |
+
"step": 2250
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 2.3,
|
688 |
+
"grad_norm": 2.410311698913574,
|
689 |
+
"learning_rate": 1.8987940462991673e-05,
|
690 |
+
"loss": 0.3079,
|
691 |
+
"step": 2300
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 2.3,
|
695 |
+
"eval_loss": 0.9347082376480103,
|
696 |
+
"eval_runtime": 6.9811,
|
697 |
+
"eval_samples_per_second": 22.346,
|
698 |
+
"eval_steps_per_second": 1.146,
|
699 |
+
"step": 2300
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.35,
|
703 |
+
"grad_norm": 2.778449535369873,
|
704 |
+
"learning_rate": 1.891006524188368e-05,
|
705 |
+
"loss": 0.3011,
|
706 |
+
"step": 2350
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.35,
|
710 |
+
"eval_loss": 0.9322410225868225,
|
711 |
+
"eval_runtime": 6.911,
|
712 |
+
"eval_samples_per_second": 22.573,
|
713 |
+
"eval_steps_per_second": 1.158,
|
714 |
+
"step": 2350
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 2.4,
|
718 |
+
"grad_norm": 2.2411606311798096,
|
719 |
+
"learning_rate": 1.8829475928589272e-05,
|
720 |
+
"loss": 0.3035,
|
721 |
+
"step": 2400
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 2.4,
|
725 |
+
"eval_loss": 0.9373205900192261,
|
726 |
+
"eval_runtime": 6.9832,
|
727 |
+
"eval_samples_per_second": 22.339,
|
728 |
+
"eval_steps_per_second": 1.146,
|
729 |
+
"step": 2400
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 2.45,
|
733 |
+
"grad_norm": 2.2924418449401855,
|
734 |
+
"learning_rate": 1.874619707139396e-05,
|
735 |
+
"loss": 0.3113,
|
736 |
+
"step": 2450
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 2.45,
|
740 |
+
"eval_loss": 0.9366490244865417,
|
741 |
+
"eval_runtime": 7.0758,
|
742 |
+
"eval_samples_per_second": 22.047,
|
743 |
+
"eval_steps_per_second": 1.131,
|
744 |
+
"step": 2450
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.5,
|
748 |
+
"grad_norm": 2.174010753631592,
|
749 |
+
"learning_rate": 1.866025403784439e-05,
|
750 |
+
"loss": 0.3027,
|
751 |
+
"step": 2500
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 2.5,
|
755 |
+
"eval_loss": 0.9629231691360474,
|
756 |
+
"eval_runtime": 6.7091,
|
757 |
+
"eval_samples_per_second": 23.252,
|
758 |
+
"eval_steps_per_second": 1.192,
|
759 |
+
"step": 2500
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 2.55,
|
763 |
+
"grad_norm": 1.9265005588531494,
|
764 |
+
"learning_rate": 1.8571673007021124e-05,
|
765 |
+
"loss": 0.3205,
|
766 |
+
"step": 2550
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 2.55,
|
770 |
+
"eval_loss": 0.9262107610702515,
|
771 |
+
"eval_runtime": 6.9019,
|
772 |
+
"eval_samples_per_second": 22.602,
|
773 |
+
"eval_steps_per_second": 1.159,
|
774 |
+
"step": 2550
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 2.6,
|
778 |
+
"grad_norm": 2.3890748023986816,
|
779 |
+
"learning_rate": 1.848048096156426e-05,
|
780 |
+
"loss": 0.3147,
|
781 |
+
"step": 2600
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 2.6,
|
785 |
+
"eval_loss": 0.9423943758010864,
|
786 |
+
"eval_runtime": 6.963,
|
787 |
+
"eval_samples_per_second": 22.404,
|
788 |
+
"eval_steps_per_second": 1.149,
|
789 |
+
"step": 2600
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 2.65,
|
793 |
+
"grad_norm": 1.9728659391403198,
|
794 |
+
"learning_rate": 1.8386705679454243e-05,
|
795 |
+
"loss": 0.3026,
|
796 |
+
"step": 2650
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 2.65,
|
800 |
+
"eval_loss": 0.948650062084198,
|
801 |
+
"eval_runtime": 6.9468,
|
802 |
+
"eval_samples_per_second": 22.456,
|
803 |
+
"eval_steps_per_second": 1.152,
|
804 |
+
"step": 2650
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 2.7,
|
808 |
+
"grad_norm": 2.072758913040161,
|
809 |
+
"learning_rate": 1.8290375725550417e-05,
|
810 |
+
"loss": 0.3023,
|
811 |
+
"step": 2700
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 2.7,
|
815 |
+
"eval_loss": 0.9387075901031494,
|
816 |
+
"eval_runtime": 6.9794,
|
817 |
+
"eval_samples_per_second": 22.352,
|
818 |
+
"eval_steps_per_second": 1.146,
|
819 |
+
"step": 2700
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 2.75,
|
823 |
+
"grad_norm": 1.645221471786499,
|
824 |
+
"learning_rate": 1.819152044288992e-05,
|
825 |
+
"loss": 0.3074,
|
826 |
+
"step": 2750
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 2.75,
|
830 |
+
"eval_loss": 0.9418818354606628,
|
831 |
+
"eval_runtime": 6.9867,
|
832 |
+
"eval_samples_per_second": 22.328,
|
833 |
+
"eval_steps_per_second": 1.145,
|
834 |
+
"step": 2750
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 2.8,
|
838 |
+
"grad_norm": 2.4617958068847656,
|
839 |
+
"learning_rate": 1.8090169943749477e-05,
|
840 |
+
"loss": 0.311,
|
841 |
+
"step": 2800
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 2.8,
|
845 |
+
"eval_loss": 0.952977180480957,
|
846 |
+
"eval_runtime": 6.9627,
|
847 |
+
"eval_samples_per_second": 22.405,
|
848 |
+
"eval_steps_per_second": 1.149,
|
849 |
+
"step": 2800
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 2.85,
|
853 |
+
"grad_norm": 1.7149707078933716,
|
854 |
+
"learning_rate": 1.798635510047293e-05,
|
855 |
+
"loss": 0.3252,
|
856 |
+
"step": 2850
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.85,
|
860 |
+
"eval_loss": 0.9482938051223755,
|
861 |
+
"eval_runtime": 6.9299,
|
862 |
+
"eval_samples_per_second": 22.511,
|
863 |
+
"eval_steps_per_second": 1.154,
|
864 |
+
"step": 2850
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 2.9,
|
868 |
+
"grad_norm": 2.310058116912842,
|
869 |
+
"learning_rate": 1.788010753606722e-05,
|
870 |
+
"loss": 0.308,
|
871 |
+
"step": 2900
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 2.9,
|
875 |
+
"eval_loss": 0.9215130805969238,
|
876 |
+
"eval_runtime": 6.9772,
|
877 |
+
"eval_samples_per_second": 22.359,
|
878 |
+
"eval_steps_per_second": 1.147,
|
879 |
+
"step": 2900
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 2.95,
|
883 |
+
"grad_norm": 2.1262900829315186,
|
884 |
+
"learning_rate": 1.777145961456971e-05,
|
885 |
+
"loss": 0.3107,
|
886 |
+
"step": 2950
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 2.95,
|
890 |
+
"eval_loss": 0.9511628746986389,
|
891 |
+
"eval_runtime": 6.961,
|
892 |
+
"eval_samples_per_second": 22.411,
|
893 |
+
"eval_steps_per_second": 1.149,
|
894 |
+
"step": 2950
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 3.0,
|
898 |
+
"grad_norm": 1.5521520376205444,
|
899 |
+
"learning_rate": 1.766044443118978e-05,
|
900 |
+
"loss": 0.3094,
|
901 |
+
"step": 3000
|
902 |
+
},
|
903 |
+
{
|
904 |
+
"epoch": 3.0,
|
905 |
+
"eval_loss": 0.9323577880859375,
|
906 |
+
"eval_runtime": 6.9701,
|
907 |
+
"eval_samples_per_second": 22.381,
|
908 |
+
"eval_steps_per_second": 1.148,
|
909 |
+
"step": 3000
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 3.05,
|
913 |
+
"grad_norm": 1.9140851497650146,
|
914 |
+
"learning_rate": 1.7547095802227723e-05,
|
915 |
+
"loss": 0.1646,
|
916 |
+
"step": 3050
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 3.05,
|
920 |
+
"eval_loss": 1.0182551145553589,
|
921 |
+
"eval_runtime": 6.9727,
|
922 |
+
"eval_samples_per_second": 22.373,
|
923 |
+
"eval_steps_per_second": 1.147,
|
924 |
+
"step": 3050
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 3.1,
|
928 |
+
"grad_norm": 1.8293534517288208,
|
929 |
+
"learning_rate": 1.7431448254773943e-05,
|
930 |
+
"loss": 0.174,
|
931 |
+
"step": 3100
|
932 |
+
},
|
933 |
+
{
|
934 |
+
"epoch": 3.1,
|
935 |
+
"eval_loss": 1.0358622074127197,
|
936 |
+
"eval_runtime": 7.062,
|
937 |
+
"eval_samples_per_second": 22.09,
|
938 |
+
"eval_steps_per_second": 1.133,
|
939 |
+
"step": 3100
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 3.15,
|
943 |
+
"grad_norm": 1.386757254600525,
|
944 |
+
"learning_rate": 1.7313537016191706e-05,
|
945 |
+
"loss": 0.1623,
|
946 |
+
"step": 3150
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 3.15,
|
950 |
+
"eval_loss": 1.0526723861694336,
|
951 |
+
"eval_runtime": 6.7139,
|
952 |
+
"eval_samples_per_second": 23.235,
|
953 |
+
"eval_steps_per_second": 1.192,
|
954 |
+
"step": 3150
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 3.2,
|
958 |
+
"grad_norm": 1.3546067476272583,
|
959 |
+
"learning_rate": 1.7193398003386514e-05,
|
960 |
+
"loss": 0.1623,
|
961 |
+
"step": 3200
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 3.2,
|
965 |
+
"eval_loss": 1.0583354234695435,
|
966 |
+
"eval_runtime": 7.061,
|
967 |
+
"eval_samples_per_second": 22.093,
|
968 |
+
"eval_steps_per_second": 1.133,
|
969 |
+
"step": 3200
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 3.25,
|
973 |
+
"grad_norm": 1.3248480558395386,
|
974 |
+
"learning_rate": 1.7071067811865477e-05,
|
975 |
+
"loss": 0.1708,
|
976 |
+
"step": 3250
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 3.25,
|
980 |
+
"eval_loss": 1.046079397201538,
|
981 |
+
"eval_runtime": 6.9829,
|
982 |
+
"eval_samples_per_second": 22.34,
|
983 |
+
"eval_steps_per_second": 1.146,
|
984 |
+
"step": 3250
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 3.3,
|
988 |
+
"grad_norm": 1.6571605205535889,
|
989 |
+
"learning_rate": 1.6946583704589973e-05,
|
990 |
+
"loss": 0.1765,
|
991 |
+
"step": 3300
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 3.3,
|
995 |
+
"eval_loss": 1.0281801223754883,
|
996 |
+
"eval_runtime": 6.9743,
|
997 |
+
"eval_samples_per_second": 22.368,
|
998 |
+
"eval_steps_per_second": 1.147,
|
999 |
+
"step": 3300
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 3.35,
|
1003 |
+
"grad_norm": 1.876293659210205,
|
1004 |
+
"learning_rate": 1.6819983600624986e-05,
|
1005 |
+
"loss": 0.1723,
|
1006 |
+
"step": 3350
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 3.35,
|
1010 |
+
"eval_loss": 1.0281037092208862,
|
1011 |
+
"eval_runtime": 7.0756,
|
1012 |
+
"eval_samples_per_second": 22.048,
|
1013 |
+
"eval_steps_per_second": 1.131,
|
1014 |
+
"step": 3350
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 3.4,
|
1018 |
+
"grad_norm": 1.571351170539856,
|
1019 |
+
"learning_rate": 1.6691306063588583e-05,
|
1020 |
+
"loss": 0.1692,
|
1021 |
+
"step": 3400
|
1022 |
+
},
|
1023 |
+
{
|
1024 |
+
"epoch": 3.4,
|
1025 |
+
"eval_loss": 1.043171763420105,
|
1026 |
+
"eval_runtime": 6.6743,
|
1027 |
+
"eval_samples_per_second": 23.373,
|
1028 |
+
"eval_steps_per_second": 1.199,
|
1029 |
+
"step": 3400
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 3.45,
|
1033 |
+
"grad_norm": 1.4466336965560913,
|
1034 |
+
"learning_rate": 1.6560590289905074e-05,
|
1035 |
+
"loss": 0.1755,
|
1036 |
+
"step": 3450
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"epoch": 3.45,
|
1040 |
+
"eval_loss": 1.0497896671295166,
|
1041 |
+
"eval_runtime": 6.9883,
|
1042 |
+
"eval_samples_per_second": 22.323,
|
1043 |
+
"eval_steps_per_second": 1.145,
|
1044 |
+
"step": 3450
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 3.5,
|
1048 |
+
"grad_norm": 1.7230181694030762,
|
1049 |
+
"learning_rate": 1.6427876096865394e-05,
|
1050 |
+
"loss": 0.1739,
|
1051 |
+
"step": 3500
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 3.5,
|
1055 |
+
"eval_loss": 1.0415854454040527,
|
1056 |
+
"eval_runtime": 7.0894,
|
1057 |
+
"eval_samples_per_second": 22.005,
|
1058 |
+
"eval_steps_per_second": 1.128,
|
1059 |
+
"step": 3500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 3.55,
|
1063 |
+
"grad_norm": 1.1267095804214478,
|
1064 |
+
"learning_rate": 1.6293203910498375e-05,
|
1065 |
+
"loss": 0.1741,
|
1066 |
+
"step": 3550
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 3.55,
|
1070 |
+
"eval_loss": 1.0593791007995605,
|
1071 |
+
"eval_runtime": 6.7082,
|
1072 |
+
"eval_samples_per_second": 23.255,
|
1073 |
+
"eval_steps_per_second": 1.193,
|
1074 |
+
"step": 3550
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 3.6,
|
1078 |
+
"grad_norm": 1.923794150352478,
|
1079 |
+
"learning_rate": 1.6156614753256583e-05,
|
1080 |
+
"loss": 0.1764,
|
1081 |
+
"step": 3600
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 3.6,
|
1085 |
+
"eval_loss": 1.037401795387268,
|
1086 |
+
"eval_runtime": 7.0167,
|
1087 |
+
"eval_samples_per_second": 22.233,
|
1088 |
+
"eval_steps_per_second": 1.14,
|
1089 |
+
"step": 3600
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 3.65,
|
1093 |
+
"grad_norm": 1.545517921447754,
|
1094 |
+
"learning_rate": 1.6018150231520486e-05,
|
1095 |
+
"loss": 0.1775,
|
1096 |
+
"step": 3650
|
1097 |
+
},
|
1098 |
+
{
|
1099 |
+
"epoch": 3.65,
|
1100 |
+
"eval_loss": 1.0683374404907227,
|
1101 |
+
"eval_runtime": 7.0018,
|
1102 |
+
"eval_samples_per_second": 22.28,
|
1103 |
+
"eval_steps_per_second": 1.143,
|
1104 |
+
"step": 3650
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 3.7,
|
1108 |
+
"grad_norm": 1.7744944095611572,
|
1109 |
+
"learning_rate": 1.5877852522924733e-05,
|
1110 |
+
"loss": 0.1816,
|
1111 |
+
"step": 3700
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 3.7,
|
1115 |
+
"eval_loss": 1.04556405544281,
|
1116 |
+
"eval_runtime": 6.9847,
|
1117 |
+
"eval_samples_per_second": 22.334,
|
1118 |
+
"eval_steps_per_second": 1.145,
|
1119 |
+
"step": 3700
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 3.75,
|
1123 |
+
"grad_norm": 1.6511001586914062,
|
1124 |
+
"learning_rate": 1.573576436351046e-05,
|
1125 |
+
"loss": 0.1776,
|
1126 |
+
"step": 3750
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 3.75,
|
1130 |
+
"eval_loss": 1.0450345277786255,
|
1131 |
+
"eval_runtime": 7.0016,
|
1132 |
+
"eval_samples_per_second": 22.281,
|
1133 |
+
"eval_steps_per_second": 1.143,
|
1134 |
+
"step": 3750
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 3.8,
|
1138 |
+
"grad_norm": 1.681025505065918,
|
1139 |
+
"learning_rate": 1.5591929034707468e-05,
|
1140 |
+
"loss": 0.1723,
|
1141 |
+
"step": 3800
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"epoch": 3.8,
|
1145 |
+
"eval_loss": 1.0498697757720947,
|
1146 |
+
"eval_runtime": 6.9797,
|
1147 |
+
"eval_samples_per_second": 22.351,
|
1148 |
+
"eval_steps_per_second": 1.146,
|
1149 |
+
"step": 3800
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 3.85,
|
1153 |
+
"grad_norm": 1.7957446575164795,
|
1154 |
+
"learning_rate": 1.5446390350150272e-05,
|
1155 |
+
"loss": 0.1744,
|
1156 |
+
"step": 3850
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 3.85,
|
1160 |
+
"eval_loss": 1.0522431135177612,
|
1161 |
+
"eval_runtime": 6.9742,
|
1162 |
+
"eval_samples_per_second": 22.368,
|
1163 |
+
"eval_steps_per_second": 1.147,
|
1164 |
+
"step": 3850
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 3.9,
|
1168 |
+
"grad_norm": 1.160187005996704,
|
1169 |
+
"learning_rate": 1.529919264233205e-05,
|
1170 |
+
"loss": 0.1749,
|
1171 |
+
"step": 3900
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 3.9,
|
1175 |
+
"eval_loss": 1.0369728803634644,
|
1176 |
+
"eval_runtime": 6.9919,
|
1177 |
+
"eval_samples_per_second": 22.312,
|
1178 |
+
"eval_steps_per_second": 1.144,
|
1179 |
+
"step": 3900
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 3.95,
|
1183 |
+
"grad_norm": 1.6003044843673706,
|
1184 |
+
"learning_rate": 1.5150380749100545e-05,
|
1185 |
+
"loss": 0.1693,
|
1186 |
+
"step": 3950
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 3.95,
|
1190 |
+
"eval_loss": 1.0573968887329102,
|
1191 |
+
"eval_runtime": 6.9371,
|
1192 |
+
"eval_samples_per_second": 22.488,
|
1193 |
+
"eval_steps_per_second": 1.153,
|
1194 |
+
"step": 3950
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 4.0,
|
1198 |
+
"grad_norm": 1.5659364461898804,
|
1199 |
+
"learning_rate": 1.5000000000000002e-05,
|
1200 |
+
"loss": 0.1766,
|
1201 |
+
"step": 4000
|
1202 |
+
},
|
1203 |
+
{
|
1204 |
+
"epoch": 4.0,
|
1205 |
+
"eval_loss": 1.0426336526870728,
|
1206 |
+
"eval_runtime": 6.9426,
|
1207 |
+
"eval_samples_per_second": 22.47,
|
1208 |
+
"eval_steps_per_second": 1.152,
|
1209 |
+
"step": 4000
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 4.05,
|
1213 |
+
"grad_norm": 1.4741019010543823,
|
1214 |
+
"learning_rate": 1.4848096202463373e-05,
|
1215 |
+
"loss": 0.0875,
|
1216 |
+
"step": 4050
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 4.05,
|
1220 |
+
"eval_loss": 1.1515307426452637,
|
1221 |
+
"eval_runtime": 7.0311,
|
1222 |
+
"eval_samples_per_second": 22.187,
|
1223 |
+
"eval_steps_per_second": 1.138,
|
1224 |
+
"step": 4050
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 4.1,
|
1228 |
+
"grad_norm": 1.7246599197387695,
|
1229 |
+
"learning_rate": 1.469471562785891e-05,
|
1230 |
+
"loss": 0.0915,
|
1231 |
+
"step": 4100
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 4.1,
|
1235 |
+
"eval_loss": 1.1431708335876465,
|
1236 |
+
"eval_runtime": 6.7986,
|
1237 |
+
"eval_samples_per_second": 22.946,
|
1238 |
+
"eval_steps_per_second": 1.177,
|
1239 |
+
"step": 4100
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 4.15,
|
1243 |
+
"grad_norm": 1.3817429542541504,
|
1244 |
+
"learning_rate": 1.4539904997395468e-05,
|
1245 |
+
"loss": 0.0897,
|
1246 |
+
"step": 4150
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 4.15,
|
1250 |
+
"eval_loss": 1.1611740589141846,
|
1251 |
+
"eval_runtime": 6.9615,
|
1252 |
+
"eval_samples_per_second": 22.409,
|
1253 |
+
"eval_steps_per_second": 1.149,
|
1254 |
+
"step": 4150
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 4.2,
|
1258 |
+
"grad_norm": 1.071362853050232,
|
1259 |
+
"learning_rate": 1.4383711467890776e-05,
|
1260 |
+
"loss": 0.0913,
|
1261 |
+
"step": 4200
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 4.2,
|
1265 |
+
"eval_loss": 1.149824857711792,
|
1266 |
+
"eval_runtime": 6.9511,
|
1267 |
+
"eval_samples_per_second": 22.442,
|
1268 |
+
"eval_steps_per_second": 1.151,
|
1269 |
+
"step": 4200
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 4.25,
|
1273 |
+
"grad_norm": 1.5283039808273315,
|
1274 |
+
"learning_rate": 1.4226182617406996e-05,
|
1275 |
+
"loss": 0.0865,
|
1276 |
+
"step": 4250
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 4.25,
|
1280 |
+
"eval_loss": 1.141707181930542,
|
1281 |
+
"eval_runtime": 7.0817,
|
1282 |
+
"eval_samples_per_second": 22.028,
|
1283 |
+
"eval_steps_per_second": 1.13,
|
1284 |
+
"step": 4250
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 4.3,
|
1288 |
+
"grad_norm": 1.3611563444137573,
|
1289 |
+
"learning_rate": 1.4067366430758004e-05,
|
1290 |
+
"loss": 0.0959,
|
1291 |
+
"step": 4300
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 4.3,
|
1295 |
+
"eval_loss": 1.1580748558044434,
|
1296 |
+
"eval_runtime": 6.6737,
|
1297 |
+
"eval_samples_per_second": 23.375,
|
1298 |
+
"eval_steps_per_second": 1.199,
|
1299 |
+
"step": 4300
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 4.35,
|
1303 |
+
"grad_norm": 1.3242157697677612,
|
1304 |
+
"learning_rate": 1.3907311284892737e-05,
|
1305 |
+
"loss": 0.0912,
|
1306 |
+
"step": 4350
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 4.35,
|
1310 |
+
"eval_loss": 1.150386095046997,
|
1311 |
+
"eval_runtime": 6.9971,
|
1312 |
+
"eval_samples_per_second": 22.295,
|
1313 |
+
"eval_steps_per_second": 1.143,
|
1314 |
+
"step": 4350
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 4.4,
|
1318 |
+
"grad_norm": 1.581061840057373,
|
1319 |
+
"learning_rate": 1.3746065934159123e-05,
|
1320 |
+
"loss": 0.0934,
|
1321 |
+
"step": 4400
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 4.4,
|
1325 |
+
"eval_loss": 1.153538703918457,
|
1326 |
+
"eval_runtime": 6.9473,
|
1327 |
+
"eval_samples_per_second": 22.455,
|
1328 |
+
"eval_steps_per_second": 1.152,
|
1329 |
+
"step": 4400
|
1330 |
+
}
|
1331 |
+
],
|
1332 |
+
"logging_steps": 50,
|
1333 |
+
"max_steps": 10000,
|
1334 |
+
"num_input_tokens_seen": 0,
|
1335 |
+
"num_train_epochs": 10,
|
1336 |
+
"save_steps": 400,
|
1337 |
+
"total_flos": 2.5095258948973363e+17,
|
1338 |
+
"train_batch_size": 2,
|
1339 |
+
"trial_name": null,
|
1340 |
+
"trial_params": null
|
1341 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:309daa55a53937945fa5fc5ee1df3926bf941f7990d4cc6c2cc6ce7e5e220274
|
3 |
+
size 5112
|