johnpaulbin
commited on
Commit
•
b5f60de
1
Parent(s):
a6e7092
add tokenizer
Browse files- config.json +67 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- rng_state_0.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +2224 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "xhyi/PT_GPTNEO350_ATG",
|
3 |
+
"activation_function": "gelu_new",
|
4 |
+
"architectures": [
|
5 |
+
"GPTNeoForCausalLM"
|
6 |
+
],
|
7 |
+
"attention_dropout": 0,
|
8 |
+
"attention_layers": [
|
9 |
+
"global",
|
10 |
+
"local",
|
11 |
+
"global",
|
12 |
+
"local",
|
13 |
+
"global",
|
14 |
+
"local",
|
15 |
+
"global",
|
16 |
+
"local",
|
17 |
+
"global",
|
18 |
+
"local",
|
19 |
+
"global",
|
20 |
+
"local",
|
21 |
+
"global",
|
22 |
+
"local",
|
23 |
+
"global",
|
24 |
+
"local",
|
25 |
+
"global",
|
26 |
+
"local",
|
27 |
+
"global",
|
28 |
+
"local",
|
29 |
+
"global",
|
30 |
+
"local",
|
31 |
+
"global",
|
32 |
+
"local"
|
33 |
+
],
|
34 |
+
"attention_types": [
|
35 |
+
[
|
36 |
+
[
|
37 |
+
"global",
|
38 |
+
"local"
|
39 |
+
],
|
40 |
+
12
|
41 |
+
]
|
42 |
+
],
|
43 |
+
"bos_token_id": 50256,
|
44 |
+
"embed_dropout": 0,
|
45 |
+
"eos_token_id": 50256,
|
46 |
+
"gradient_checkpointing": false,
|
47 |
+
"hidden_size": 1024,
|
48 |
+
"initializer_range": 0.02,
|
49 |
+
"intermediate_size": null,
|
50 |
+
"layer_norm_epsilon": 1e-05,
|
51 |
+
"max_position_embeddings": 2048,
|
52 |
+
"model_friendly_id": "PT_GPTNEO350_ATG",
|
53 |
+
"model_type": "gpt_neo",
|
54 |
+
"num_heads": 16,
|
55 |
+
"num_layers": 24,
|
56 |
+
"resid_dropout": 0,
|
57 |
+
"summary_activation": null,
|
58 |
+
"summary_first_dropout": 0.1,
|
59 |
+
"summary_proj_to_labels": true,
|
60 |
+
"summary_type": "cls_index",
|
61 |
+
"summary_use_proj": true,
|
62 |
+
"torch_dtype": "float32",
|
63 |
+
"transformers_version": "4.18.0",
|
64 |
+
"use_cache": true,
|
65 |
+
"vocab_size": 50257,
|
66 |
+
"window_size": 256
|
67 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:195928959abbf1c6fc89806d4fca44ec28e532b48f2653c151611620e466687f
|
3 |
+
size 1523968361
|
rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ede0d90956a8a9ced6f093c43335ab159b6940c39555c4680cf10e6788fe43ef
|
3 |
+
size 13611
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8861f77cb8cab6a6dec462f0a8238ff73c9ff3434efad36cca297da72b1be9ab
|
3 |
+
size 623
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": "<|endoftext|>", "additional_special_tokens": ["<|endoftext|>"]}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "pad_token": "<|endoftext|>", "verbose": false, "errors": "replace", "use_fast": true, "special_tokens_map_file": "/root/.cache/huggingface/transformers/3d6a020aa54a72ba7d0c829631645f1df3c363e77cd819bcd700f8939ec7835f.06e25d12bb63b60d3f404464008e6d2b4d56f9b98c801487eeaf8b6b556e89e2", "name_or_path": "xhyi/PT_GPTNEO350_ATG", "tokenizer_class": "GPT2Tokenizer"}
|
trainer_state.json
ADDED
@@ -0,0 +1,2224 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 6.613999632555576,
|
5 |
+
"global_step": 72000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 9.999999632555577e-05,
|
13 |
+
"loss": 1.5591,
|
14 |
+
"step": 200
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.04,
|
18 |
+
"learning_rate": 9.999999265111153e-05,
|
19 |
+
"loss": 1.3368,
|
20 |
+
"step": 400
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.06,
|
24 |
+
"learning_rate": 9.999998897666729e-05,
|
25 |
+
"loss": 1.2706,
|
26 |
+
"step": 600
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.07,
|
30 |
+
"learning_rate": 9.999998530222305e-05,
|
31 |
+
"loss": 1.2055,
|
32 |
+
"step": 800
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.09,
|
36 |
+
"learning_rate": 9.999998162777881e-05,
|
37 |
+
"loss": 1.1738,
|
38 |
+
"step": 1000
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.11,
|
42 |
+
"learning_rate": 9.999997795333457e-05,
|
43 |
+
"loss": 1.1357,
|
44 |
+
"step": 1200
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.13,
|
48 |
+
"learning_rate": 9.999997427889031e-05,
|
49 |
+
"loss": 1.1226,
|
50 |
+
"step": 1400
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.15,
|
54 |
+
"learning_rate": 9.999997060444607e-05,
|
55 |
+
"loss": 1.0901,
|
56 |
+
"step": 1600
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.17,
|
60 |
+
"learning_rate": 9.999996693000185e-05,
|
61 |
+
"loss": 1.0793,
|
62 |
+
"step": 1800
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.18,
|
66 |
+
"learning_rate": 9.999996325555761e-05,
|
67 |
+
"loss": 1.0587,
|
68 |
+
"step": 2000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.2,
|
72 |
+
"learning_rate": 9.999995958111336e-05,
|
73 |
+
"loss": 1.0522,
|
74 |
+
"step": 2200
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.22,
|
78 |
+
"learning_rate": 9.999995590666912e-05,
|
79 |
+
"loss": 1.0277,
|
80 |
+
"step": 2400
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.24,
|
84 |
+
"learning_rate": 9.999995223222488e-05,
|
85 |
+
"loss": 1.0177,
|
86 |
+
"step": 2600
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.26,
|
90 |
+
"learning_rate": 9.999994855778064e-05,
|
91 |
+
"loss": 1.0164,
|
92 |
+
"step": 2800
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.28,
|
96 |
+
"learning_rate": 9.999994488333641e-05,
|
97 |
+
"loss": 0.9814,
|
98 |
+
"step": 3000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.29,
|
102 |
+
"learning_rate": 9.999994120889216e-05,
|
103 |
+
"loss": 0.9802,
|
104 |
+
"step": 3200
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.31,
|
108 |
+
"learning_rate": 9.999993753444792e-05,
|
109 |
+
"loss": 0.9808,
|
110 |
+
"step": 3400
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.33,
|
114 |
+
"learning_rate": 9.999993386000368e-05,
|
115 |
+
"loss": 0.9686,
|
116 |
+
"step": 3600
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.35,
|
120 |
+
"learning_rate": 9.999993018555944e-05,
|
121 |
+
"loss": 0.9531,
|
122 |
+
"step": 3800
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.37,
|
126 |
+
"learning_rate": 9.99999265111152e-05,
|
127 |
+
"loss": 0.9332,
|
128 |
+
"step": 4000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.39,
|
132 |
+
"learning_rate": 9.999992283667096e-05,
|
133 |
+
"loss": 0.9486,
|
134 |
+
"step": 4200
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.4,
|
138 |
+
"learning_rate": 9.999991916222672e-05,
|
139 |
+
"loss": 0.9145,
|
140 |
+
"step": 4400
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.42,
|
144 |
+
"learning_rate": 9.999991548778248e-05,
|
145 |
+
"loss": 0.9164,
|
146 |
+
"step": 4600
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.44,
|
150 |
+
"learning_rate": 9.999991181333824e-05,
|
151 |
+
"loss": 0.8984,
|
152 |
+
"step": 4800
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.46,
|
156 |
+
"learning_rate": 9.999990813889399e-05,
|
157 |
+
"loss": 0.9016,
|
158 |
+
"step": 5000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.48,
|
162 |
+
"learning_rate": 9.999990446444975e-05,
|
163 |
+
"loss": 0.9019,
|
164 |
+
"step": 5200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.5,
|
168 |
+
"learning_rate": 9.999990079000552e-05,
|
169 |
+
"loss": 0.8835,
|
170 |
+
"step": 5400
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.51,
|
174 |
+
"learning_rate": 9.999989711556128e-05,
|
175 |
+
"loss": 0.8829,
|
176 |
+
"step": 5600
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.53,
|
180 |
+
"learning_rate": 9.999989344111703e-05,
|
181 |
+
"loss": 0.8872,
|
182 |
+
"step": 5800
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.55,
|
186 |
+
"learning_rate": 9.999988976667279e-05,
|
187 |
+
"loss": 0.8895,
|
188 |
+
"step": 6000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.57,
|
192 |
+
"learning_rate": 9.999988609222855e-05,
|
193 |
+
"loss": 0.8533,
|
194 |
+
"step": 6200
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.59,
|
198 |
+
"learning_rate": 9.999988241778431e-05,
|
199 |
+
"loss": 0.8515,
|
200 |
+
"step": 6400
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.61,
|
204 |
+
"learning_rate": 9.999987874334007e-05,
|
205 |
+
"loss": 0.8682,
|
206 |
+
"step": 6600
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.62,
|
210 |
+
"learning_rate": 9.999987506889583e-05,
|
211 |
+
"loss": 0.8345,
|
212 |
+
"step": 6800
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.64,
|
216 |
+
"learning_rate": 9.99998713944516e-05,
|
217 |
+
"loss": 0.8614,
|
218 |
+
"step": 7000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.66,
|
222 |
+
"learning_rate": 9.999986772000735e-05,
|
223 |
+
"loss": 0.8481,
|
224 |
+
"step": 7200
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.68,
|
228 |
+
"learning_rate": 9.999986404556311e-05,
|
229 |
+
"loss": 0.8479,
|
230 |
+
"step": 7400
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.7,
|
234 |
+
"learning_rate": 9.999986037111887e-05,
|
235 |
+
"loss": 0.8467,
|
236 |
+
"step": 7600
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.72,
|
240 |
+
"learning_rate": 9.999985669667464e-05,
|
241 |
+
"loss": 0.8441,
|
242 |
+
"step": 7800
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.73,
|
246 |
+
"learning_rate": 9.99998530222304e-05,
|
247 |
+
"loss": 0.8087,
|
248 |
+
"step": 8000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.75,
|
252 |
+
"learning_rate": 9.999984934778616e-05,
|
253 |
+
"loss": 0.8202,
|
254 |
+
"step": 8200
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.77,
|
258 |
+
"learning_rate": 9.99998456733419e-05,
|
259 |
+
"loss": 0.8231,
|
260 |
+
"step": 8400
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.79,
|
264 |
+
"learning_rate": 9.999984199889766e-05,
|
265 |
+
"loss": 0.8188,
|
266 |
+
"step": 8600
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.81,
|
270 |
+
"learning_rate": 9.999983832445344e-05,
|
271 |
+
"loss": 0.8103,
|
272 |
+
"step": 8800
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.83,
|
276 |
+
"learning_rate": 9.99998346500092e-05,
|
277 |
+
"loss": 0.8158,
|
278 |
+
"step": 9000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.85,
|
282 |
+
"learning_rate": 9.999983097556495e-05,
|
283 |
+
"loss": 0.808,
|
284 |
+
"step": 9200
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.86,
|
288 |
+
"learning_rate": 9.99998273011207e-05,
|
289 |
+
"loss": 0.8146,
|
290 |
+
"step": 9400
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.88,
|
294 |
+
"learning_rate": 9.999982362667647e-05,
|
295 |
+
"loss": 0.797,
|
296 |
+
"step": 9600
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.9,
|
300 |
+
"learning_rate": 9.999981995223223e-05,
|
301 |
+
"loss": 0.7784,
|
302 |
+
"step": 9800
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.92,
|
306 |
+
"learning_rate": 9.9999816277788e-05,
|
307 |
+
"loss": 0.7864,
|
308 |
+
"step": 10000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.94,
|
312 |
+
"learning_rate": 9.999981260334375e-05,
|
313 |
+
"loss": 0.7987,
|
314 |
+
"step": 10200
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.96,
|
318 |
+
"learning_rate": 9.999980892889951e-05,
|
319 |
+
"loss": 0.7757,
|
320 |
+
"step": 10400
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.97,
|
324 |
+
"learning_rate": 9.999980525445527e-05,
|
325 |
+
"loss": 0.7812,
|
326 |
+
"step": 10600
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.99,
|
330 |
+
"learning_rate": 9.999980158001103e-05,
|
331 |
+
"loss": 0.7801,
|
332 |
+
"step": 10800
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 1.0,
|
336 |
+
"eval_loss": 0.6798496246337891,
|
337 |
+
"eval_runtime": 1461.6898,
|
338 |
+
"eval_samples_per_second": 119.156,
|
339 |
+
"eval_steps_per_second": 7.448,
|
340 |
+
"step": 10886
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 1.01,
|
344 |
+
"learning_rate": 9.999979790556679e-05,
|
345 |
+
"loss": 0.7013,
|
346 |
+
"step": 11000
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 1.03,
|
350 |
+
"learning_rate": 9.999979423112255e-05,
|
351 |
+
"loss": 0.6525,
|
352 |
+
"step": 11200
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.05,
|
356 |
+
"learning_rate": 9.999979055667831e-05,
|
357 |
+
"loss": 0.6677,
|
358 |
+
"step": 11400
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 1.07,
|
362 |
+
"learning_rate": 9.999978688223407e-05,
|
363 |
+
"loss": 0.6573,
|
364 |
+
"step": 11600
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 1.08,
|
368 |
+
"learning_rate": 9.999978320778982e-05,
|
369 |
+
"loss": 0.652,
|
370 |
+
"step": 11800
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 1.1,
|
374 |
+
"learning_rate": 9.999977953334558e-05,
|
375 |
+
"loss": 0.6554,
|
376 |
+
"step": 12000
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 1.12,
|
380 |
+
"learning_rate": 9.999977585890135e-05,
|
381 |
+
"loss": 0.6593,
|
382 |
+
"step": 12200
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 1.14,
|
386 |
+
"learning_rate": 9.999977218445711e-05,
|
387 |
+
"loss": 0.6634,
|
388 |
+
"step": 12400
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 1.16,
|
392 |
+
"learning_rate": 9.999976851001287e-05,
|
393 |
+
"loss": 0.653,
|
394 |
+
"step": 12600
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.18,
|
398 |
+
"learning_rate": 9.999976483556862e-05,
|
399 |
+
"loss": 0.6617,
|
400 |
+
"step": 12800
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 1.19,
|
404 |
+
"learning_rate": 9.999976116112438e-05,
|
405 |
+
"loss": 0.6567,
|
406 |
+
"step": 13000
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 1.21,
|
410 |
+
"learning_rate": 9.999975748668014e-05,
|
411 |
+
"loss": 0.6683,
|
412 |
+
"step": 13200
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 1.23,
|
416 |
+
"learning_rate": 9.999975381223591e-05,
|
417 |
+
"loss": 0.6681,
|
418 |
+
"step": 13400
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 1.25,
|
422 |
+
"learning_rate": 9.999975013779166e-05,
|
423 |
+
"loss": 0.6501,
|
424 |
+
"step": 13600
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 1.27,
|
428 |
+
"learning_rate": 9.999974646334742e-05,
|
429 |
+
"loss": 0.664,
|
430 |
+
"step": 13800
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 1.29,
|
434 |
+
"learning_rate": 9.999974278890318e-05,
|
435 |
+
"loss": 0.6702,
|
436 |
+
"step": 14000
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.3,
|
440 |
+
"learning_rate": 9.999973911445894e-05,
|
441 |
+
"loss": 0.6535,
|
442 |
+
"step": 14200
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 1.32,
|
446 |
+
"learning_rate": 9.99997354400147e-05,
|
447 |
+
"loss": 0.6614,
|
448 |
+
"step": 14400
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 1.34,
|
452 |
+
"learning_rate": 9.999973176557046e-05,
|
453 |
+
"loss": 0.6584,
|
454 |
+
"step": 14600
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 1.36,
|
458 |
+
"learning_rate": 9.999972809112622e-05,
|
459 |
+
"loss": 0.649,
|
460 |
+
"step": 14800
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 1.38,
|
464 |
+
"learning_rate": 9.999972441668198e-05,
|
465 |
+
"loss": 0.6489,
|
466 |
+
"step": 15000
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.4,
|
470 |
+
"learning_rate": 9.999972074223775e-05,
|
471 |
+
"loss": 0.6568,
|
472 |
+
"step": 15200
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 1.41,
|
476 |
+
"learning_rate": 9.999971706779349e-05,
|
477 |
+
"loss": 0.645,
|
478 |
+
"step": 15400
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.43,
|
482 |
+
"learning_rate": 9.999971339334925e-05,
|
483 |
+
"loss": 0.6554,
|
484 |
+
"step": 15600
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 1.45,
|
488 |
+
"learning_rate": 9.999970971890503e-05,
|
489 |
+
"loss": 0.6395,
|
490 |
+
"step": 15800
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 1.47,
|
494 |
+
"learning_rate": 9.999970604446079e-05,
|
495 |
+
"loss": 0.6497,
|
496 |
+
"step": 16000
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 1.49,
|
500 |
+
"learning_rate": 9.999970237001653e-05,
|
501 |
+
"loss": 0.6485,
|
502 |
+
"step": 16200
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 1.51,
|
506 |
+
"learning_rate": 9.99996986955723e-05,
|
507 |
+
"loss": 0.6383,
|
508 |
+
"step": 16400
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 1.52,
|
512 |
+
"learning_rate": 9.999969502112805e-05,
|
513 |
+
"loss": 0.64,
|
514 |
+
"step": 16600
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 1.54,
|
518 |
+
"learning_rate": 9.999969134668382e-05,
|
519 |
+
"loss": 0.6318,
|
520 |
+
"step": 16800
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 1.56,
|
524 |
+
"learning_rate": 9.999968767223959e-05,
|
525 |
+
"loss": 0.6381,
|
526 |
+
"step": 17000
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 1.58,
|
530 |
+
"learning_rate": 9.999968399779534e-05,
|
531 |
+
"loss": 0.6484,
|
532 |
+
"step": 17200
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 1.6,
|
536 |
+
"learning_rate": 9.99996803233511e-05,
|
537 |
+
"loss": 0.6491,
|
538 |
+
"step": 17400
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 1.62,
|
542 |
+
"learning_rate": 9.999967664890686e-05,
|
543 |
+
"loss": 0.6428,
|
544 |
+
"step": 17600
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 1.64,
|
548 |
+
"learning_rate": 9.999967297446262e-05,
|
549 |
+
"loss": 0.6356,
|
550 |
+
"step": 17800
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 1.65,
|
554 |
+
"learning_rate": 9.999966930001838e-05,
|
555 |
+
"loss": 0.637,
|
556 |
+
"step": 18000
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 1.67,
|
560 |
+
"learning_rate": 9.999966562557414e-05,
|
561 |
+
"loss": 0.6364,
|
562 |
+
"step": 18200
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.69,
|
566 |
+
"learning_rate": 9.99996619511299e-05,
|
567 |
+
"loss": 0.6473,
|
568 |
+
"step": 18400
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 1.71,
|
572 |
+
"learning_rate": 9.999965827668566e-05,
|
573 |
+
"loss": 0.6342,
|
574 |
+
"step": 18600
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 1.73,
|
578 |
+
"learning_rate": 9.99996546022414e-05,
|
579 |
+
"loss": 0.6395,
|
580 |
+
"step": 18800
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 1.75,
|
584 |
+
"learning_rate": 9.999965092779717e-05,
|
585 |
+
"loss": 0.6441,
|
586 |
+
"step": 19000
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 1.76,
|
590 |
+
"learning_rate": 9.999964725335294e-05,
|
591 |
+
"loss": 0.6461,
|
592 |
+
"step": 19200
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 1.78,
|
596 |
+
"learning_rate": 9.99996435789087e-05,
|
597 |
+
"loss": 0.6157,
|
598 |
+
"step": 19400
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 1.8,
|
602 |
+
"learning_rate": 9.999963990446446e-05,
|
603 |
+
"loss": 0.6233,
|
604 |
+
"step": 19600
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 1.82,
|
608 |
+
"learning_rate": 9.999963623002021e-05,
|
609 |
+
"loss": 0.6305,
|
610 |
+
"step": 19800
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 1.84,
|
614 |
+
"learning_rate": 9.999963255557597e-05,
|
615 |
+
"loss": 0.6277,
|
616 |
+
"step": 20000
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 1.86,
|
620 |
+
"learning_rate": 9.999962888113173e-05,
|
621 |
+
"loss": 0.6339,
|
622 |
+
"step": 20200
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 1.87,
|
626 |
+
"learning_rate": 9.99996252066875e-05,
|
627 |
+
"loss": 0.6271,
|
628 |
+
"step": 20400
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 1.89,
|
632 |
+
"learning_rate": 9.999962153224325e-05,
|
633 |
+
"loss": 0.6145,
|
634 |
+
"step": 20600
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 1.91,
|
638 |
+
"learning_rate": 9.999961785779901e-05,
|
639 |
+
"loss": 0.6299,
|
640 |
+
"step": 20800
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 1.93,
|
644 |
+
"learning_rate": 9.999961418335477e-05,
|
645 |
+
"loss": 0.6216,
|
646 |
+
"step": 21000
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 1.95,
|
650 |
+
"learning_rate": 9.999961050891053e-05,
|
651 |
+
"loss": 0.6167,
|
652 |
+
"step": 21200
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 1.97,
|
656 |
+
"learning_rate": 9.999960683446629e-05,
|
657 |
+
"loss": 0.6254,
|
658 |
+
"step": 21400
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 1.98,
|
662 |
+
"learning_rate": 9.999960316002205e-05,
|
663 |
+
"loss": 0.6376,
|
664 |
+
"step": 21600
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 2.0,
|
668 |
+
"eval_loss": 0.5107570290565491,
|
669 |
+
"eval_runtime": 1433.9446,
|
670 |
+
"eval_samples_per_second": 121.461,
|
671 |
+
"eval_steps_per_second": 7.592,
|
672 |
+
"step": 21772
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 2.0,
|
676 |
+
"learning_rate": 9.999959948557781e-05,
|
677 |
+
"loss": 0.6037,
|
678 |
+
"step": 21800
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 2.02,
|
682 |
+
"learning_rate": 9.999959581113357e-05,
|
683 |
+
"loss": 0.4903,
|
684 |
+
"step": 22000
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 2.04,
|
688 |
+
"learning_rate": 9.999959213668933e-05,
|
689 |
+
"loss": 0.4901,
|
690 |
+
"step": 22200
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 2.06,
|
694 |
+
"learning_rate": 9.999958846224508e-05,
|
695 |
+
"loss": 0.4826,
|
696 |
+
"step": 22400
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 2.08,
|
700 |
+
"learning_rate": 9.999958478780085e-05,
|
701 |
+
"loss": 0.4881,
|
702 |
+
"step": 22600
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 2.09,
|
706 |
+
"learning_rate": 9.999958111335662e-05,
|
707 |
+
"loss": 0.4921,
|
708 |
+
"step": 22800
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 2.11,
|
712 |
+
"learning_rate": 9.999957743891238e-05,
|
713 |
+
"loss": 0.502,
|
714 |
+
"step": 23000
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 2.13,
|
718 |
+
"learning_rate": 9.999957376446812e-05,
|
719 |
+
"loss": 0.4976,
|
720 |
+
"step": 23200
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 2.15,
|
724 |
+
"learning_rate": 9.999957009002388e-05,
|
725 |
+
"loss": 0.491,
|
726 |
+
"step": 23400
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 2.17,
|
730 |
+
"learning_rate": 9.999956641557964e-05,
|
731 |
+
"loss": 0.5033,
|
732 |
+
"step": 23600
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 2.19,
|
736 |
+
"learning_rate": 9.99995627411354e-05,
|
737 |
+
"loss": 0.4924,
|
738 |
+
"step": 23800
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 2.2,
|
742 |
+
"learning_rate": 9.999955906669118e-05,
|
743 |
+
"loss": 0.5026,
|
744 |
+
"step": 24000
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.22,
|
748 |
+
"learning_rate": 9.999955539224692e-05,
|
749 |
+
"loss": 0.4966,
|
750 |
+
"step": 24200
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 2.24,
|
754 |
+
"learning_rate": 9.999955171780269e-05,
|
755 |
+
"loss": 0.4963,
|
756 |
+
"step": 24400
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 2.26,
|
760 |
+
"learning_rate": 9.999954804335845e-05,
|
761 |
+
"loss": 0.5072,
|
762 |
+
"step": 24600
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 2.28,
|
766 |
+
"learning_rate": 9.99995443689142e-05,
|
767 |
+
"loss": 0.4907,
|
768 |
+
"step": 24800
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 2.3,
|
772 |
+
"learning_rate": 9.999954069446997e-05,
|
773 |
+
"loss": 0.4938,
|
774 |
+
"step": 25000
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 2.31,
|
778 |
+
"learning_rate": 9.999953702002573e-05,
|
779 |
+
"loss": 0.5035,
|
780 |
+
"step": 25200
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 2.33,
|
784 |
+
"learning_rate": 9.999953334558149e-05,
|
785 |
+
"loss": 0.5006,
|
786 |
+
"step": 25400
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 2.35,
|
790 |
+
"learning_rate": 9.999952967113725e-05,
|
791 |
+
"loss": 0.4992,
|
792 |
+
"step": 25600
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 2.37,
|
796 |
+
"learning_rate": 9.9999525996693e-05,
|
797 |
+
"loss": 0.5109,
|
798 |
+
"step": 25800
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 2.39,
|
802 |
+
"learning_rate": 9.999952232224876e-05,
|
803 |
+
"loss": 0.4994,
|
804 |
+
"step": 26000
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 2.41,
|
808 |
+
"learning_rate": 9.999951864780453e-05,
|
809 |
+
"loss": 0.4925,
|
810 |
+
"step": 26200
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 2.43,
|
814 |
+
"learning_rate": 9.999951497336029e-05,
|
815 |
+
"loss": 0.5073,
|
816 |
+
"step": 26400
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 2.44,
|
820 |
+
"learning_rate": 9.999951129891605e-05,
|
821 |
+
"loss": 0.5061,
|
822 |
+
"step": 26600
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 2.46,
|
826 |
+
"learning_rate": 9.99995076244718e-05,
|
827 |
+
"loss": 0.4954,
|
828 |
+
"step": 26800
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 2.48,
|
832 |
+
"learning_rate": 9.999950395002756e-05,
|
833 |
+
"loss": 0.5123,
|
834 |
+
"step": 27000
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 2.5,
|
838 |
+
"learning_rate": 9.999950027558332e-05,
|
839 |
+
"loss": 0.5049,
|
840 |
+
"step": 27200
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 2.52,
|
844 |
+
"learning_rate": 9.999949660113909e-05,
|
845 |
+
"loss": 0.4972,
|
846 |
+
"step": 27400
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 2.54,
|
850 |
+
"learning_rate": 9.999949292669484e-05,
|
851 |
+
"loss": 0.505,
|
852 |
+
"step": 27600
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 2.55,
|
856 |
+
"learning_rate": 9.99994892522506e-05,
|
857 |
+
"loss": 0.52,
|
858 |
+
"step": 27800
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 2.57,
|
862 |
+
"learning_rate": 9.999948557780636e-05,
|
863 |
+
"loss": 0.5077,
|
864 |
+
"step": 28000
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 2.59,
|
868 |
+
"learning_rate": 9.999948190336212e-05,
|
869 |
+
"loss": 0.5159,
|
870 |
+
"step": 28200
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.61,
|
874 |
+
"learning_rate": 9.999947822891788e-05,
|
875 |
+
"loss": 0.5054,
|
876 |
+
"step": 28400
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 2.63,
|
880 |
+
"learning_rate": 9.999947455447364e-05,
|
881 |
+
"loss": 0.4999,
|
882 |
+
"step": 28600
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 2.65,
|
886 |
+
"learning_rate": 9.99994708800294e-05,
|
887 |
+
"loss": 0.5035,
|
888 |
+
"step": 28800
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 2.66,
|
892 |
+
"learning_rate": 9.999946720558516e-05,
|
893 |
+
"loss": 0.5041,
|
894 |
+
"step": 29000
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 2.68,
|
898 |
+
"learning_rate": 9.999946353114092e-05,
|
899 |
+
"loss": 0.4998,
|
900 |
+
"step": 29200
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 2.7,
|
904 |
+
"learning_rate": 9.999945985669667e-05,
|
905 |
+
"loss": 0.5098,
|
906 |
+
"step": 29400
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 2.72,
|
910 |
+
"learning_rate": 9.999945618225244e-05,
|
911 |
+
"loss": 0.5102,
|
912 |
+
"step": 29600
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 2.74,
|
916 |
+
"learning_rate": 9.99994525078082e-05,
|
917 |
+
"loss": 0.5031,
|
918 |
+
"step": 29800
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 2.76,
|
922 |
+
"learning_rate": 9.999944883336396e-05,
|
923 |
+
"loss": 0.5015,
|
924 |
+
"step": 30000
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 2.77,
|
928 |
+
"learning_rate": 9.999944515891971e-05,
|
929 |
+
"loss": 0.505,
|
930 |
+
"step": 30200
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 2.79,
|
934 |
+
"learning_rate": 9.999944148447547e-05,
|
935 |
+
"loss": 0.5146,
|
936 |
+
"step": 30400
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 2.81,
|
940 |
+
"learning_rate": 9.999943781003123e-05,
|
941 |
+
"loss": 0.5101,
|
942 |
+
"step": 30600
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 2.83,
|
946 |
+
"learning_rate": 9.9999434135587e-05,
|
947 |
+
"loss": 0.5155,
|
948 |
+
"step": 30800
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 2.85,
|
952 |
+
"learning_rate": 9.999943046114277e-05,
|
953 |
+
"loss": 0.5076,
|
954 |
+
"step": 31000
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 2.87,
|
958 |
+
"learning_rate": 9.999942678669851e-05,
|
959 |
+
"loss": 0.5157,
|
960 |
+
"step": 31200
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 2.88,
|
964 |
+
"learning_rate": 9.999942311225427e-05,
|
965 |
+
"loss": 0.5046,
|
966 |
+
"step": 31400
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 2.9,
|
970 |
+
"learning_rate": 9.999941943781003e-05,
|
971 |
+
"loss": 0.5078,
|
972 |
+
"step": 31600
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"epoch": 2.92,
|
976 |
+
"learning_rate": 9.99994157633658e-05,
|
977 |
+
"loss": 0.5096,
|
978 |
+
"step": 31800
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 2.94,
|
982 |
+
"learning_rate": 9.999941208892156e-05,
|
983 |
+
"loss": 0.5057,
|
984 |
+
"step": 32000
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 2.96,
|
988 |
+
"learning_rate": 9.999940841447732e-05,
|
989 |
+
"loss": 0.5171,
|
990 |
+
"step": 32200
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 2.98,
|
994 |
+
"learning_rate": 9.999940474003308e-05,
|
995 |
+
"loss": 0.5212,
|
996 |
+
"step": 32400
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.99,
|
1000 |
+
"learning_rate": 9.999940106558884e-05,
|
1001 |
+
"loss": 0.5132,
|
1002 |
+
"step": 32600
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 3.0,
|
1006 |
+
"eval_loss": 0.39297839999198914,
|
1007 |
+
"eval_runtime": 1401.043,
|
1008 |
+
"eval_samples_per_second": 124.314,
|
1009 |
+
"eval_steps_per_second": 7.77,
|
1010 |
+
"step": 32658
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 3.01,
|
1014 |
+
"learning_rate": 9.999939739114458e-05,
|
1015 |
+
"loss": 0.4123,
|
1016 |
+
"step": 32800
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 3.03,
|
1020 |
+
"learning_rate": 9.999939371670036e-05,
|
1021 |
+
"loss": 0.3688,
|
1022 |
+
"step": 33000
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 3.05,
|
1026 |
+
"learning_rate": 9.999939004225612e-05,
|
1027 |
+
"loss": 0.3752,
|
1028 |
+
"step": 33200
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 3.07,
|
1032 |
+
"learning_rate": 9.999938636781188e-05,
|
1033 |
+
"loss": 0.3733,
|
1034 |
+
"step": 33400
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 3.09,
|
1038 |
+
"learning_rate": 9.999938269336764e-05,
|
1039 |
+
"loss": 0.371,
|
1040 |
+
"step": 33600
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 3.1,
|
1044 |
+
"learning_rate": 9.999937901892339e-05,
|
1045 |
+
"loss": 0.3838,
|
1046 |
+
"step": 33800
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 3.12,
|
1050 |
+
"learning_rate": 9.999937534447915e-05,
|
1051 |
+
"loss": 0.3865,
|
1052 |
+
"step": 34000
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 3.14,
|
1056 |
+
"learning_rate": 9.999937167003491e-05,
|
1057 |
+
"loss": 0.3859,
|
1058 |
+
"step": 34200
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 3.16,
|
1062 |
+
"learning_rate": 9.999936799559068e-05,
|
1063 |
+
"loss": 0.3882,
|
1064 |
+
"step": 34400
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 3.18,
|
1068 |
+
"learning_rate": 9.999936432114643e-05,
|
1069 |
+
"loss": 0.3942,
|
1070 |
+
"step": 34600
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 3.2,
|
1074 |
+
"learning_rate": 9.999936064670219e-05,
|
1075 |
+
"loss": 0.3843,
|
1076 |
+
"step": 34800
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 3.22,
|
1080 |
+
"learning_rate": 9.999935697225795e-05,
|
1081 |
+
"loss": 0.3859,
|
1082 |
+
"step": 35000
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 3.23,
|
1086 |
+
"learning_rate": 9.999935329781371e-05,
|
1087 |
+
"loss": 0.3947,
|
1088 |
+
"step": 35200
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 3.25,
|
1092 |
+
"learning_rate": 9.999934962336947e-05,
|
1093 |
+
"loss": 0.3934,
|
1094 |
+
"step": 35400
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 3.27,
|
1098 |
+
"learning_rate": 9.999934594892523e-05,
|
1099 |
+
"loss": 0.3932,
|
1100 |
+
"step": 35600
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 3.29,
|
1104 |
+
"learning_rate": 9.999934227448099e-05,
|
1105 |
+
"loss": 0.3977,
|
1106 |
+
"step": 35800
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 3.31,
|
1110 |
+
"learning_rate": 9.999933860003675e-05,
|
1111 |
+
"loss": 0.4046,
|
1112 |
+
"step": 36000
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 3.33,
|
1116 |
+
"learning_rate": 9.999933492559251e-05,
|
1117 |
+
"loss": 0.3961,
|
1118 |
+
"step": 36200
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 3.34,
|
1122 |
+
"learning_rate": 9.999933125114826e-05,
|
1123 |
+
"loss": 0.398,
|
1124 |
+
"step": 36400
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 3.36,
|
1128 |
+
"learning_rate": 9.999932757670403e-05,
|
1129 |
+
"loss": 0.393,
|
1130 |
+
"step": 36600
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 3.38,
|
1134 |
+
"learning_rate": 9.999932390225979e-05,
|
1135 |
+
"loss": 0.4043,
|
1136 |
+
"step": 36800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 3.4,
|
1140 |
+
"learning_rate": 9.999932022781555e-05,
|
1141 |
+
"loss": 0.4042,
|
1142 |
+
"step": 37000
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 3.42,
|
1146 |
+
"learning_rate": 9.99993165533713e-05,
|
1147 |
+
"loss": 0.3996,
|
1148 |
+
"step": 37200
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 3.44,
|
1152 |
+
"learning_rate": 9.999931287892706e-05,
|
1153 |
+
"loss": 0.3995,
|
1154 |
+
"step": 37400
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 3.45,
|
1158 |
+
"learning_rate": 9.999930920448282e-05,
|
1159 |
+
"loss": 0.398,
|
1160 |
+
"step": 37600
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 3.47,
|
1164 |
+
"learning_rate": 9.99993055300386e-05,
|
1165 |
+
"loss": 0.3978,
|
1166 |
+
"step": 37800
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 3.49,
|
1170 |
+
"learning_rate": 9.999930185559434e-05,
|
1171 |
+
"loss": 0.4039,
|
1172 |
+
"step": 38000
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 3.51,
|
1176 |
+
"learning_rate": 9.99992981811501e-05,
|
1177 |
+
"loss": 0.3983,
|
1178 |
+
"step": 38200
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 3.53,
|
1182 |
+
"learning_rate": 9.999929450670586e-05,
|
1183 |
+
"loss": 0.4099,
|
1184 |
+
"step": 38400
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 3.55,
|
1188 |
+
"learning_rate": 9.999929083226162e-05,
|
1189 |
+
"loss": 0.3965,
|
1190 |
+
"step": 38600
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 3.56,
|
1194 |
+
"learning_rate": 9.999928715781738e-05,
|
1195 |
+
"loss": 0.4027,
|
1196 |
+
"step": 38800
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 3.58,
|
1200 |
+
"learning_rate": 9.999928348337314e-05,
|
1201 |
+
"loss": 0.406,
|
1202 |
+
"step": 39000
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 3.6,
|
1206 |
+
"learning_rate": 9.99992798089289e-05,
|
1207 |
+
"loss": 0.415,
|
1208 |
+
"step": 39200
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 3.62,
|
1212 |
+
"learning_rate": 9.999927613448467e-05,
|
1213 |
+
"loss": 0.4055,
|
1214 |
+
"step": 39400
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 3.64,
|
1218 |
+
"learning_rate": 9.999927246004043e-05,
|
1219 |
+
"loss": 0.4058,
|
1220 |
+
"step": 39600
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 3.66,
|
1224 |
+
"learning_rate": 9.999926878559617e-05,
|
1225 |
+
"loss": 0.4051,
|
1226 |
+
"step": 39800
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 3.67,
|
1230 |
+
"learning_rate": 9.999926511115195e-05,
|
1231 |
+
"loss": 0.4088,
|
1232 |
+
"step": 40000
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 3.69,
|
1236 |
+
"learning_rate": 9.999926143670771e-05,
|
1237 |
+
"loss": 0.4073,
|
1238 |
+
"step": 40200
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 3.71,
|
1242 |
+
"learning_rate": 9.999925776226347e-05,
|
1243 |
+
"loss": 0.4075,
|
1244 |
+
"step": 40400
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 3.73,
|
1248 |
+
"learning_rate": 9.999925408781923e-05,
|
1249 |
+
"loss": 0.4071,
|
1250 |
+
"step": 40600
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 3.75,
|
1254 |
+
"learning_rate": 9.999925041337498e-05,
|
1255 |
+
"loss": 0.4136,
|
1256 |
+
"step": 40800
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 3.77,
|
1260 |
+
"learning_rate": 9.999924673893074e-05,
|
1261 |
+
"loss": 0.4143,
|
1262 |
+
"step": 41000
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 3.78,
|
1266 |
+
"learning_rate": 9.999924306448651e-05,
|
1267 |
+
"loss": 0.415,
|
1268 |
+
"step": 41200
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 3.8,
|
1272 |
+
"learning_rate": 9.999923939004227e-05,
|
1273 |
+
"loss": 0.4157,
|
1274 |
+
"step": 41400
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 3.82,
|
1278 |
+
"learning_rate": 9.999923571559802e-05,
|
1279 |
+
"loss": 0.406,
|
1280 |
+
"step": 41600
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 3.84,
|
1284 |
+
"learning_rate": 9.999923204115378e-05,
|
1285 |
+
"loss": 0.416,
|
1286 |
+
"step": 41800
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 3.86,
|
1290 |
+
"learning_rate": 9.999922836670954e-05,
|
1291 |
+
"loss": 0.4142,
|
1292 |
+
"step": 42000
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 3.88,
|
1296 |
+
"learning_rate": 9.99992246922653e-05,
|
1297 |
+
"loss": 0.4109,
|
1298 |
+
"step": 42200
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 3.89,
|
1302 |
+
"learning_rate": 9.999922101782106e-05,
|
1303 |
+
"loss": 0.4161,
|
1304 |
+
"step": 42400
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 3.91,
|
1308 |
+
"learning_rate": 9.999921734337682e-05,
|
1309 |
+
"loss": 0.408,
|
1310 |
+
"step": 42600
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 3.93,
|
1314 |
+
"learning_rate": 9.999921366893258e-05,
|
1315 |
+
"loss": 0.4162,
|
1316 |
+
"step": 42800
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 3.95,
|
1320 |
+
"learning_rate": 9.999920999448834e-05,
|
1321 |
+
"loss": 0.4165,
|
1322 |
+
"step": 43000
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 3.97,
|
1326 |
+
"learning_rate": 9.99992063200441e-05,
|
1327 |
+
"loss": 0.4167,
|
1328 |
+
"step": 43200
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 3.99,
|
1332 |
+
"learning_rate": 9.999920264559986e-05,
|
1333 |
+
"loss": 0.4179,
|
1334 |
+
"step": 43400
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 4.0,
|
1338 |
+
"eval_loss": 0.3084418773651123,
|
1339 |
+
"eval_runtime": 1411.8768,
|
1340 |
+
"eval_samples_per_second": 123.36,
|
1341 |
+
"eval_steps_per_second": 7.71,
|
1342 |
+
"step": 43544
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 4.01,
|
1346 |
+
"learning_rate": 9.999919897115562e-05,
|
1347 |
+
"loss": 0.3814,
|
1348 |
+
"step": 43600
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"epoch": 4.02,
|
1352 |
+
"learning_rate": 9.999919529671138e-05,
|
1353 |
+
"loss": 0.2863,
|
1354 |
+
"step": 43800
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 4.04,
|
1358 |
+
"learning_rate": 9.999919162226714e-05,
|
1359 |
+
"loss": 0.2924,
|
1360 |
+
"step": 44000
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 4.06,
|
1364 |
+
"learning_rate": 9.999918794782289e-05,
|
1365 |
+
"loss": 0.2942,
|
1366 |
+
"step": 44200
|
1367 |
+
},
|
1368 |
+
{
|
1369 |
+
"epoch": 4.08,
|
1370 |
+
"learning_rate": 9.999918427337865e-05,
|
1371 |
+
"loss": 0.3034,
|
1372 |
+
"step": 44400
|
1373 |
+
},
|
1374 |
+
{
|
1375 |
+
"epoch": 4.1,
|
1376 |
+
"learning_rate": 9.999918059893441e-05,
|
1377 |
+
"loss": 0.3002,
|
1378 |
+
"step": 44600
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 4.12,
|
1382 |
+
"learning_rate": 9.999917692449018e-05,
|
1383 |
+
"loss": 0.3029,
|
1384 |
+
"step": 44800
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 4.13,
|
1388 |
+
"learning_rate": 9.999917325004593e-05,
|
1389 |
+
"loss": 0.2977,
|
1390 |
+
"step": 45000
|
1391 |
+
},
|
1392 |
+
{
|
1393 |
+
"epoch": 4.15,
|
1394 |
+
"learning_rate": 9.999916957560169e-05,
|
1395 |
+
"loss": 0.3062,
|
1396 |
+
"step": 45200
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 4.17,
|
1400 |
+
"learning_rate": 9.999916590115745e-05,
|
1401 |
+
"loss": 0.3075,
|
1402 |
+
"step": 45400
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 4.19,
|
1406 |
+
"learning_rate": 9.999916222671321e-05,
|
1407 |
+
"loss": 0.3137,
|
1408 |
+
"step": 45600
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 4.21,
|
1412 |
+
"learning_rate": 9.999915855226897e-05,
|
1413 |
+
"loss": 0.3037,
|
1414 |
+
"step": 45800
|
1415 |
+
},
|
1416 |
+
{
|
1417 |
+
"epoch": 4.23,
|
1418 |
+
"learning_rate": 9.999915487782473e-05,
|
1419 |
+
"loss": 0.31,
|
1420 |
+
"step": 46000
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 4.24,
|
1424 |
+
"learning_rate": 9.99991512033805e-05,
|
1425 |
+
"loss": 0.3141,
|
1426 |
+
"step": 46200
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 4.26,
|
1430 |
+
"learning_rate": 9.999914752893625e-05,
|
1431 |
+
"loss": 0.3166,
|
1432 |
+
"step": 46400
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 4.28,
|
1436 |
+
"learning_rate": 9.999914385449201e-05,
|
1437 |
+
"loss": 0.3125,
|
1438 |
+
"step": 46600
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 4.3,
|
1442 |
+
"learning_rate": 9.999914018004776e-05,
|
1443 |
+
"loss": 0.3109,
|
1444 |
+
"step": 46800
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 4.32,
|
1448 |
+
"learning_rate": 9.999913650560354e-05,
|
1449 |
+
"loss": 0.3169,
|
1450 |
+
"step": 47000
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"epoch": 4.34,
|
1454 |
+
"learning_rate": 9.99991328311593e-05,
|
1455 |
+
"loss": 0.3211,
|
1456 |
+
"step": 47200
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 4.35,
|
1460 |
+
"learning_rate": 9.999912915671506e-05,
|
1461 |
+
"loss": 0.3278,
|
1462 |
+
"step": 47400
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 4.37,
|
1466 |
+
"learning_rate": 9.999912548227082e-05,
|
1467 |
+
"loss": 0.3154,
|
1468 |
+
"step": 47600
|
1469 |
+
},
|
1470 |
+
{
|
1471 |
+
"epoch": 4.39,
|
1472 |
+
"learning_rate": 9.999912180782656e-05,
|
1473 |
+
"loss": 0.3167,
|
1474 |
+
"step": 47800
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 4.41,
|
1478 |
+
"learning_rate": 9.999911813338232e-05,
|
1479 |
+
"loss": 0.3172,
|
1480 |
+
"step": 48000
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 4.43,
|
1484 |
+
"learning_rate": 9.99991144589381e-05,
|
1485 |
+
"loss": 0.3243,
|
1486 |
+
"step": 48200
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 4.45,
|
1490 |
+
"learning_rate": 9.999911078449386e-05,
|
1491 |
+
"loss": 0.3286,
|
1492 |
+
"step": 48400
|
1493 |
+
},
|
1494 |
+
{
|
1495 |
+
"epoch": 4.46,
|
1496 |
+
"learning_rate": 9.99991071100496e-05,
|
1497 |
+
"loss": 0.3268,
|
1498 |
+
"step": 48600
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 4.48,
|
1502 |
+
"learning_rate": 9.999910343560537e-05,
|
1503 |
+
"loss": 0.3204,
|
1504 |
+
"step": 48800
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 4.5,
|
1508 |
+
"learning_rate": 9.999909976116113e-05,
|
1509 |
+
"loss": 0.3311,
|
1510 |
+
"step": 49000
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 4.52,
|
1514 |
+
"learning_rate": 9.999909608671689e-05,
|
1515 |
+
"loss": 0.3241,
|
1516 |
+
"step": 49200
|
1517 |
+
},
|
1518 |
+
{
|
1519 |
+
"epoch": 4.54,
|
1520 |
+
"learning_rate": 9.999909241227265e-05,
|
1521 |
+
"loss": 0.3305,
|
1522 |
+
"step": 49400
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 4.56,
|
1526 |
+
"learning_rate": 9.999908873782841e-05,
|
1527 |
+
"loss": 0.3238,
|
1528 |
+
"step": 49600
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 4.57,
|
1532 |
+
"learning_rate": 9.999908506338417e-05,
|
1533 |
+
"loss": 0.3283,
|
1534 |
+
"step": 49800
|
1535 |
+
},
|
1536 |
+
{
|
1537 |
+
"epoch": 4.59,
|
1538 |
+
"learning_rate": 9.999908138893993e-05,
|
1539 |
+
"loss": 0.3275,
|
1540 |
+
"step": 50000
|
1541 |
+
},
|
1542 |
+
{
|
1543 |
+
"epoch": 4.61,
|
1544 |
+
"learning_rate": 9.999907771449569e-05,
|
1545 |
+
"loss": 0.3302,
|
1546 |
+
"step": 50200
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 4.63,
|
1550 |
+
"learning_rate": 9.999907404005145e-05,
|
1551 |
+
"loss": 0.3342,
|
1552 |
+
"step": 50400
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"epoch": 4.65,
|
1556 |
+
"learning_rate": 9.999907036560721e-05,
|
1557 |
+
"loss": 0.3363,
|
1558 |
+
"step": 50600
|
1559 |
+
},
|
1560 |
+
{
|
1561 |
+
"epoch": 4.67,
|
1562 |
+
"learning_rate": 9.999906669116297e-05,
|
1563 |
+
"loss": 0.3319,
|
1564 |
+
"step": 50800
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 4.68,
|
1568 |
+
"learning_rate": 9.999906301671873e-05,
|
1569 |
+
"loss": 0.3288,
|
1570 |
+
"step": 51000
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 4.7,
|
1574 |
+
"learning_rate": 9.999905934227448e-05,
|
1575 |
+
"loss": 0.3349,
|
1576 |
+
"step": 51200
|
1577 |
+
},
|
1578 |
+
{
|
1579 |
+
"epoch": 4.72,
|
1580 |
+
"learning_rate": 9.999905566783024e-05,
|
1581 |
+
"loss": 0.3289,
|
1582 |
+
"step": 51400
|
1583 |
+
},
|
1584 |
+
{
|
1585 |
+
"epoch": 4.74,
|
1586 |
+
"learning_rate": 9.999905199338601e-05,
|
1587 |
+
"loss": 0.3393,
|
1588 |
+
"step": 51600
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 4.76,
|
1592 |
+
"learning_rate": 9.999904831894177e-05,
|
1593 |
+
"loss": 0.3388,
|
1594 |
+
"step": 51800
|
1595 |
+
},
|
1596 |
+
{
|
1597 |
+
"epoch": 4.78,
|
1598 |
+
"learning_rate": 9.999904464449752e-05,
|
1599 |
+
"loss": 0.3322,
|
1600 |
+
"step": 52000
|
1601 |
+
},
|
1602 |
+
{
|
1603 |
+
"epoch": 4.8,
|
1604 |
+
"learning_rate": 9.999904097005328e-05,
|
1605 |
+
"loss": 0.332,
|
1606 |
+
"step": 52200
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 4.81,
|
1610 |
+
"learning_rate": 9.999903729560904e-05,
|
1611 |
+
"loss": 0.3378,
|
1612 |
+
"step": 52400
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 4.83,
|
1616 |
+
"learning_rate": 9.99990336211648e-05,
|
1617 |
+
"loss": 0.3369,
|
1618 |
+
"step": 52600
|
1619 |
+
},
|
1620 |
+
{
|
1621 |
+
"epoch": 4.85,
|
1622 |
+
"learning_rate": 9.999902994672056e-05,
|
1623 |
+
"loss": 0.337,
|
1624 |
+
"step": 52800
|
1625 |
+
},
|
1626 |
+
{
|
1627 |
+
"epoch": 4.87,
|
1628 |
+
"learning_rate": 9.999902627227632e-05,
|
1629 |
+
"loss": 0.3434,
|
1630 |
+
"step": 53000
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 4.89,
|
1634 |
+
"learning_rate": 9.999902259783208e-05,
|
1635 |
+
"loss": 0.3326,
|
1636 |
+
"step": 53200
|
1637 |
+
},
|
1638 |
+
{
|
1639 |
+
"epoch": 4.91,
|
1640 |
+
"learning_rate": 9.999901892338784e-05,
|
1641 |
+
"loss": 0.3382,
|
1642 |
+
"step": 53400
|
1643 |
+
},
|
1644 |
+
{
|
1645 |
+
"epoch": 4.92,
|
1646 |
+
"learning_rate": 9.99990152489436e-05,
|
1647 |
+
"loss": 0.3443,
|
1648 |
+
"step": 53600
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 4.94,
|
1652 |
+
"learning_rate": 9.999901157449936e-05,
|
1653 |
+
"loss": 0.3405,
|
1654 |
+
"step": 53800
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 4.96,
|
1658 |
+
"learning_rate": 9.999900790005512e-05,
|
1659 |
+
"loss": 0.3454,
|
1660 |
+
"step": 54000
|
1661 |
+
},
|
1662 |
+
{
|
1663 |
+
"epoch": 4.98,
|
1664 |
+
"learning_rate": 9.999900422561088e-05,
|
1665 |
+
"loss": 0.3499,
|
1666 |
+
"step": 54200
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 5.0,
|
1670 |
+
"learning_rate": 9.999900055116665e-05,
|
1671 |
+
"loss": 0.3442,
|
1672 |
+
"step": 54400
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 5.0,
|
1676 |
+
"eval_loss": 0.24815598130226135,
|
1677 |
+
"eval_runtime": 1424.5159,
|
1678 |
+
"eval_samples_per_second": 122.265,
|
1679 |
+
"eval_steps_per_second": 7.642,
|
1680 |
+
"step": 54430
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 5.02,
|
1684 |
+
"learning_rate": 9.999899687672239e-05,
|
1685 |
+
"loss": 0.2559,
|
1686 |
+
"step": 54600
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 5.03,
|
1690 |
+
"learning_rate": 9.999899320227815e-05,
|
1691 |
+
"loss": 0.2383,
|
1692 |
+
"step": 54800
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 5.05,
|
1696 |
+
"learning_rate": 9.999898952783391e-05,
|
1697 |
+
"loss": 0.2416,
|
1698 |
+
"step": 55000
|
1699 |
+
},
|
1700 |
+
{
|
1701 |
+
"epoch": 5.07,
|
1702 |
+
"learning_rate": 9.999898585338969e-05,
|
1703 |
+
"loss": 0.237,
|
1704 |
+
"step": 55200
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 5.09,
|
1708 |
+
"learning_rate": 9.999898217894545e-05,
|
1709 |
+
"loss": 0.2445,
|
1710 |
+
"step": 55400
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 5.11,
|
1714 |
+
"learning_rate": 9.99989785045012e-05,
|
1715 |
+
"loss": 0.2412,
|
1716 |
+
"step": 55600
|
1717 |
+
},
|
1718 |
+
{
|
1719 |
+
"epoch": 5.13,
|
1720 |
+
"learning_rate": 9.999897483005695e-05,
|
1721 |
+
"loss": 0.2431,
|
1722 |
+
"step": 55800
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 5.14,
|
1726 |
+
"learning_rate": 9.999897115561272e-05,
|
1727 |
+
"loss": 0.2449,
|
1728 |
+
"step": 56000
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 5.16,
|
1732 |
+
"learning_rate": 9.999896748116848e-05,
|
1733 |
+
"loss": 0.2461,
|
1734 |
+
"step": 56200
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 5.18,
|
1738 |
+
"learning_rate": 9.999896380672424e-05,
|
1739 |
+
"loss": 0.2527,
|
1740 |
+
"step": 56400
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 5.2,
|
1744 |
+
"learning_rate": 9.999896013228e-05,
|
1745 |
+
"loss": 0.2522,
|
1746 |
+
"step": 56600
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 5.22,
|
1750 |
+
"learning_rate": 9.999895645783576e-05,
|
1751 |
+
"loss": 0.2485,
|
1752 |
+
"step": 56800
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 5.24,
|
1756 |
+
"learning_rate": 9.999895278339152e-05,
|
1757 |
+
"loss": 0.2517,
|
1758 |
+
"step": 57000
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 5.25,
|
1762 |
+
"learning_rate": 9.999894910894728e-05,
|
1763 |
+
"loss": 0.2572,
|
1764 |
+
"step": 57200
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 5.27,
|
1768 |
+
"learning_rate": 9.999894543450304e-05,
|
1769 |
+
"loss": 0.2574,
|
1770 |
+
"step": 57400
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 5.29,
|
1774 |
+
"learning_rate": 9.99989417600588e-05,
|
1775 |
+
"loss": 0.2551,
|
1776 |
+
"step": 57600
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 5.31,
|
1780 |
+
"learning_rate": 9.999893808561456e-05,
|
1781 |
+
"loss": 0.2584,
|
1782 |
+
"step": 57800
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 5.33,
|
1786 |
+
"learning_rate": 9.999893441117032e-05,
|
1787 |
+
"loss": 0.2607,
|
1788 |
+
"step": 58000
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 5.35,
|
1792 |
+
"learning_rate": 9.999893073672607e-05,
|
1793 |
+
"loss": 0.2631,
|
1794 |
+
"step": 58200
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 5.36,
|
1798 |
+
"learning_rate": 9.999892706228183e-05,
|
1799 |
+
"loss": 0.2609,
|
1800 |
+
"step": 58400
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 5.38,
|
1804 |
+
"learning_rate": 9.99989233878376e-05,
|
1805 |
+
"loss": 0.265,
|
1806 |
+
"step": 58600
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 5.4,
|
1810 |
+
"learning_rate": 9.999891971339336e-05,
|
1811 |
+
"loss": 0.2625,
|
1812 |
+
"step": 58800
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 5.42,
|
1816 |
+
"learning_rate": 9.999891603894911e-05,
|
1817 |
+
"loss": 0.2648,
|
1818 |
+
"step": 59000
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 5.44,
|
1822 |
+
"learning_rate": 9.999891236450487e-05,
|
1823 |
+
"loss": 0.2677,
|
1824 |
+
"step": 59200
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 5.46,
|
1828 |
+
"learning_rate": 9.999890869006063e-05,
|
1829 |
+
"loss": 0.2667,
|
1830 |
+
"step": 59400
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 5.47,
|
1834 |
+
"learning_rate": 9.999890501561639e-05,
|
1835 |
+
"loss": 0.2623,
|
1836 |
+
"step": 59600
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 5.49,
|
1840 |
+
"learning_rate": 9.999890134117216e-05,
|
1841 |
+
"loss": 0.2713,
|
1842 |
+
"step": 59800
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 5.51,
|
1846 |
+
"learning_rate": 9.999889766672791e-05,
|
1847 |
+
"loss": 0.2659,
|
1848 |
+
"step": 60000
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 5.53,
|
1852 |
+
"learning_rate": 9.999889399228367e-05,
|
1853 |
+
"loss": 0.2688,
|
1854 |
+
"step": 60200
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 5.55,
|
1858 |
+
"learning_rate": 9.999889031783943e-05,
|
1859 |
+
"loss": 0.2716,
|
1860 |
+
"step": 60400
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 5.57,
|
1864 |
+
"learning_rate": 9.999888664339519e-05,
|
1865 |
+
"loss": 0.2723,
|
1866 |
+
"step": 60600
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 5.59,
|
1870 |
+
"learning_rate": 9.999888296895095e-05,
|
1871 |
+
"loss": 0.2724,
|
1872 |
+
"step": 60800
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 5.6,
|
1876 |
+
"learning_rate": 9.999887929450671e-05,
|
1877 |
+
"loss": 0.2697,
|
1878 |
+
"step": 61000
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 5.62,
|
1882 |
+
"learning_rate": 9.999887562006247e-05,
|
1883 |
+
"loss": 0.2749,
|
1884 |
+
"step": 61200
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 5.64,
|
1888 |
+
"learning_rate": 9.999887194561823e-05,
|
1889 |
+
"loss": 0.273,
|
1890 |
+
"step": 61400
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 5.66,
|
1894 |
+
"learning_rate": 9.999886827117398e-05,
|
1895 |
+
"loss": 0.2816,
|
1896 |
+
"step": 61600
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 5.68,
|
1900 |
+
"learning_rate": 9.999886459672974e-05,
|
1901 |
+
"loss": 0.2742,
|
1902 |
+
"step": 61800
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 5.7,
|
1906 |
+
"learning_rate": 9.999886092228552e-05,
|
1907 |
+
"loss": 0.2788,
|
1908 |
+
"step": 62000
|
1909 |
+
},
|
1910 |
+
{
|
1911 |
+
"epoch": 5.71,
|
1912 |
+
"learning_rate": 9.999885724784128e-05,
|
1913 |
+
"loss": 0.2782,
|
1914 |
+
"step": 62200
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 5.73,
|
1918 |
+
"learning_rate": 9.999885357339704e-05,
|
1919 |
+
"loss": 0.2804,
|
1920 |
+
"step": 62400
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 5.75,
|
1924 |
+
"learning_rate": 9.999884989895278e-05,
|
1925 |
+
"loss": 0.2777,
|
1926 |
+
"step": 62600
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 5.77,
|
1930 |
+
"learning_rate": 9.999884622450854e-05,
|
1931 |
+
"loss": 0.2822,
|
1932 |
+
"step": 62800
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 5.79,
|
1936 |
+
"learning_rate": 9.99988425500643e-05,
|
1937 |
+
"loss": 0.2811,
|
1938 |
+
"step": 63000
|
1939 |
+
},
|
1940 |
+
{
|
1941 |
+
"epoch": 5.81,
|
1942 |
+
"learning_rate": 9.999883887562006e-05,
|
1943 |
+
"loss": 0.2795,
|
1944 |
+
"step": 63200
|
1945 |
+
},
|
1946 |
+
{
|
1947 |
+
"epoch": 5.82,
|
1948 |
+
"learning_rate": 9.999883520117583e-05,
|
1949 |
+
"loss": 0.2846,
|
1950 |
+
"step": 63400
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 5.84,
|
1954 |
+
"learning_rate": 9.999883152673159e-05,
|
1955 |
+
"loss": 0.2887,
|
1956 |
+
"step": 63600
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 5.86,
|
1960 |
+
"learning_rate": 9.999882785228735e-05,
|
1961 |
+
"loss": 0.2811,
|
1962 |
+
"step": 63800
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 5.88,
|
1966 |
+
"learning_rate": 9.99988241778431e-05,
|
1967 |
+
"loss": 0.283,
|
1968 |
+
"step": 64000
|
1969 |
+
},
|
1970 |
+
{
|
1971 |
+
"epoch": 5.9,
|
1972 |
+
"learning_rate": 9.999882050339887e-05,
|
1973 |
+
"loss": 0.2822,
|
1974 |
+
"step": 64200
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 5.92,
|
1978 |
+
"learning_rate": 9.999881682895463e-05,
|
1979 |
+
"loss": 0.2853,
|
1980 |
+
"step": 64400
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 5.93,
|
1984 |
+
"learning_rate": 9.999881315451039e-05,
|
1985 |
+
"loss": 0.2869,
|
1986 |
+
"step": 64600
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 5.95,
|
1990 |
+
"learning_rate": 9.999880948006615e-05,
|
1991 |
+
"loss": 0.283,
|
1992 |
+
"step": 64800
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 5.97,
|
1996 |
+
"learning_rate": 9.999880580562191e-05,
|
1997 |
+
"loss": 0.2893,
|
1998 |
+
"step": 65000
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 5.99,
|
2002 |
+
"learning_rate": 9.999880213117766e-05,
|
2003 |
+
"loss": 0.2863,
|
2004 |
+
"step": 65200
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 6.0,
|
2008 |
+
"eval_loss": 0.20682939887046814,
|
2009 |
+
"eval_runtime": 1457.2635,
|
2010 |
+
"eval_samples_per_second": 119.518,
|
2011 |
+
"eval_steps_per_second": 7.47,
|
2012 |
+
"step": 65316
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 6.01,
|
2016 |
+
"learning_rate": 9.999879845673342e-05,
|
2017 |
+
"loss": 0.2505,
|
2018 |
+
"step": 65400
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 6.03,
|
2022 |
+
"learning_rate": 9.999879478228919e-05,
|
2023 |
+
"loss": 0.1957,
|
2024 |
+
"step": 65600
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 6.04,
|
2028 |
+
"learning_rate": 9.999879110784495e-05,
|
2029 |
+
"loss": 0.1986,
|
2030 |
+
"step": 65800
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 6.06,
|
2034 |
+
"learning_rate": 9.99987874334007e-05,
|
2035 |
+
"loss": 0.1984,
|
2036 |
+
"step": 66000
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 6.08,
|
2040 |
+
"learning_rate": 9.999878375895646e-05,
|
2041 |
+
"loss": 0.1983,
|
2042 |
+
"step": 66200
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 6.1,
|
2046 |
+
"learning_rate": 9.999878008451222e-05,
|
2047 |
+
"loss": 0.203,
|
2048 |
+
"step": 66400
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 6.12,
|
2052 |
+
"learning_rate": 9.999877641006798e-05,
|
2053 |
+
"loss": 0.203,
|
2054 |
+
"step": 66600
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 6.14,
|
2058 |
+
"learning_rate": 9.999877273562375e-05,
|
2059 |
+
"loss": 0.2047,
|
2060 |
+
"step": 66800
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 6.15,
|
2064 |
+
"learning_rate": 9.99987690611795e-05,
|
2065 |
+
"loss": 0.208,
|
2066 |
+
"step": 67000
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 6.17,
|
2070 |
+
"learning_rate": 9.999876538673526e-05,
|
2071 |
+
"loss": 0.2103,
|
2072 |
+
"step": 67200
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 6.19,
|
2076 |
+
"learning_rate": 9.999876171229102e-05,
|
2077 |
+
"loss": 0.2141,
|
2078 |
+
"step": 67400
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 6.21,
|
2082 |
+
"learning_rate": 9.999875803784678e-05,
|
2083 |
+
"loss": 0.2101,
|
2084 |
+
"step": 67600
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 6.23,
|
2088 |
+
"learning_rate": 9.999875436340254e-05,
|
2089 |
+
"loss": 0.2157,
|
2090 |
+
"step": 67800
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 6.25,
|
2094 |
+
"learning_rate": 9.99987506889583e-05,
|
2095 |
+
"loss": 0.2173,
|
2096 |
+
"step": 68000
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 6.26,
|
2100 |
+
"learning_rate": 9.999874701451406e-05,
|
2101 |
+
"loss": 0.2143,
|
2102 |
+
"step": 68200
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 6.28,
|
2106 |
+
"learning_rate": 9.999874334006982e-05,
|
2107 |
+
"loss": 0.2156,
|
2108 |
+
"step": 68400
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 6.3,
|
2112 |
+
"learning_rate": 9.999873966562557e-05,
|
2113 |
+
"loss": 0.2181,
|
2114 |
+
"step": 68600
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 6.32,
|
2118 |
+
"learning_rate": 9.999873599118133e-05,
|
2119 |
+
"loss": 0.2215,
|
2120 |
+
"step": 68800
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 6.34,
|
2124 |
+
"learning_rate": 9.99987323167371e-05,
|
2125 |
+
"loss": 0.2214,
|
2126 |
+
"step": 69000
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 6.36,
|
2130 |
+
"learning_rate": 9.999872864229286e-05,
|
2131 |
+
"loss": 0.221,
|
2132 |
+
"step": 69200
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 6.38,
|
2136 |
+
"learning_rate": 9.999872496784863e-05,
|
2137 |
+
"loss": 0.2254,
|
2138 |
+
"step": 69400
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 6.39,
|
2142 |
+
"learning_rate": 9.999872129340437e-05,
|
2143 |
+
"loss": 0.2235,
|
2144 |
+
"step": 69600
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 6.41,
|
2148 |
+
"learning_rate": 9.999871761896013e-05,
|
2149 |
+
"loss": 0.2231,
|
2150 |
+
"step": 69800
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 6.43,
|
2154 |
+
"learning_rate": 9.999871394451589e-05,
|
2155 |
+
"loss": 0.2267,
|
2156 |
+
"step": 70000
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 6.45,
|
2160 |
+
"learning_rate": 9.999871027007167e-05,
|
2161 |
+
"loss": 0.2239,
|
2162 |
+
"step": 70200
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 6.47,
|
2166 |
+
"learning_rate": 9.999870659562741e-05,
|
2167 |
+
"loss": 0.227,
|
2168 |
+
"step": 70400
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 6.49,
|
2172 |
+
"learning_rate": 9.999870292118317e-05,
|
2173 |
+
"loss": 0.2277,
|
2174 |
+
"step": 70600
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 6.5,
|
2178 |
+
"learning_rate": 9.999869924673893e-05,
|
2179 |
+
"loss": 0.2245,
|
2180 |
+
"step": 70800
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 6.52,
|
2184 |
+
"learning_rate": 9.99986955722947e-05,
|
2185 |
+
"loss": 0.2284,
|
2186 |
+
"step": 71000
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 6.54,
|
2190 |
+
"learning_rate": 9.999869189785046e-05,
|
2191 |
+
"loss": 0.2308,
|
2192 |
+
"step": 71200
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 6.56,
|
2196 |
+
"learning_rate": 9.999868822340622e-05,
|
2197 |
+
"loss": 0.2348,
|
2198 |
+
"step": 71400
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 6.58,
|
2202 |
+
"learning_rate": 9.999868454896198e-05,
|
2203 |
+
"loss": 0.2289,
|
2204 |
+
"step": 71600
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 6.6,
|
2208 |
+
"learning_rate": 9.999868087451774e-05,
|
2209 |
+
"loss": 0.2311,
|
2210 |
+
"step": 71800
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 6.61,
|
2214 |
+
"learning_rate": 9.99986772000735e-05,
|
2215 |
+
"loss": 0.2308,
|
2216 |
+
"step": 72000
|
2217 |
+
}
|
2218 |
+
],
|
2219 |
+
"max_steps": 5443000000,
|
2220 |
+
"num_train_epochs": 500000,
|
2221 |
+
"total_flos": 2.6739082122913382e+17,
|
2222 |
+
"trial_name": null,
|
2223 |
+
"trial_params": null
|
2224 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:364f2b0f824a2958dcbb3229cf228c1a2c7d68bdac540a2614523c07b2fe0760
|
3 |
+
size 3055
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|