ray
commited on
Commit
•
a51abff
1
Parent(s):
83679c8
[init] bloom model 4k
Browse files- config.json +33 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +14 -0
- tokenizer.json +0 -0
- tokenizer_config.json +11 -0
- trainer_state.json +1468 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "ckip-joint/bloom-3b-zh",
|
3 |
+
"apply_residual_connection_post_layernorm": false,
|
4 |
+
"architectures": [
|
5 |
+
"BloomForCausalLM"
|
6 |
+
],
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"attention_softmax_in_fp32": true,
|
9 |
+
"bias_dropout_fusion": true,
|
10 |
+
"bos_token_id": 1,
|
11 |
+
"eos_token_id": 2,
|
12 |
+
"hidden_dropout": 0.0,
|
13 |
+
"hidden_size": 2560,
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"layer_norm_epsilon": 1e-05,
|
16 |
+
"masked_softmax_fusion": true,
|
17 |
+
"model_type": "bloom",
|
18 |
+
"n_head": 32,
|
19 |
+
"n_inner": null,
|
20 |
+
"n_layer": 30,
|
21 |
+
"offset_alibi": 100,
|
22 |
+
"pad_token_id": 3,
|
23 |
+
"pretraining_tp": 4,
|
24 |
+
"seq_length": 2048,
|
25 |
+
"skip_bias_add": true,
|
26 |
+
"skip_bias_add_qkv": false,
|
27 |
+
"slow_but_exact": false,
|
28 |
+
"torch_dtype": "float16",
|
29 |
+
"transformers_version": "4.28.0.dev0",
|
30 |
+
"unk_token_id": 0,
|
31 |
+
"use_cache": true,
|
32 |
+
"vocab_size": 250688
|
33 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 3,
|
6 |
+
"transformers_version": "4.28.0.dev0"
|
7 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:588cf83c73c21566511f0f4ff584abf3e3075a863d97d88b5defac51ca1b42d7
|
3 |
+
size 6004251933
|
special_tokens_map.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|system|>",
|
4 |
+
"<|prompter|>",
|
5 |
+
"<|prefix_end|>",
|
6 |
+
"<|prefix_begin|>",
|
7 |
+
"<|assistant|>"
|
8 |
+
],
|
9 |
+
"bos_token": "<s>",
|
10 |
+
"eos_token": "</s>",
|
11 |
+
"pad_token": "<pad>",
|
12 |
+
"sep_token": "<s>",
|
13 |
+
"unk_token": "<unk>"
|
14 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"bos_token": "<s>",
|
4 |
+
"clean_up_tokenization_spaces": false,
|
5 |
+
"eos_token": "</s>",
|
6 |
+
"model_max_length": 1000000000000000019884624838656,
|
7 |
+
"pad_token": "<pad>",
|
8 |
+
"special_tokens_map_file": null,
|
9 |
+
"tokenizer_class": "BloomTokenizer",
|
10 |
+
"unk_token": "<unk>"
|
11 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1468 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.3639164690398064,
|
5 |
+
"global_step": 2000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 1.6e-08,
|
13 |
+
"loss": 2.8922,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.0,
|
18 |
+
"learning_rate": 5.6e-08,
|
19 |
+
"loss": 2.6572,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.01,
|
24 |
+
"learning_rate": 9.199999999999999e-08,
|
25 |
+
"loss": 2.6816,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.01,
|
30 |
+
"learning_rate": 1.32e-07,
|
31 |
+
"loss": 2.6259,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.01,
|
36 |
+
"learning_rate": 1.7199999999999998e-07,
|
37 |
+
"loss": 2.4734,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.01,
|
42 |
+
"learning_rate": 2.12e-07,
|
43 |
+
"loss": 2.4194,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.01,
|
48 |
+
"learning_rate": 2.52e-07,
|
49 |
+
"loss": 2.3645,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.01,
|
54 |
+
"learning_rate": 2.9199999999999997e-07,
|
55 |
+
"loss": 2.287,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.02,
|
60 |
+
"learning_rate": 3.32e-07,
|
61 |
+
"loss": 2.2451,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.02,
|
66 |
+
"learning_rate": 3.72e-07,
|
67 |
+
"loss": 2.1339,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.02,
|
72 |
+
"learning_rate": 4.12e-07,
|
73 |
+
"loss": 2.0578,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.02,
|
78 |
+
"learning_rate": 4.5199999999999997e-07,
|
79 |
+
"loss": 2.0854,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.02,
|
84 |
+
"learning_rate": 4.92e-07,
|
85 |
+
"loss": 1.9981,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.03,
|
90 |
+
"learning_rate": 5.32e-07,
|
91 |
+
"loss": 1.927,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.03,
|
96 |
+
"learning_rate": 5.719999999999999e-07,
|
97 |
+
"loss": 1.8661,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.03,
|
102 |
+
"learning_rate": 6.119999999999999e-07,
|
103 |
+
"loss": 1.8546,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.03,
|
108 |
+
"learning_rate": 6.52e-07,
|
109 |
+
"loss": 1.7949,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.03,
|
114 |
+
"learning_rate": 6.919999999999999e-07,
|
115 |
+
"loss": 1.7926,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.03,
|
120 |
+
"learning_rate": 7.319999999999999e-07,
|
121 |
+
"loss": 1.7737,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.04,
|
126 |
+
"learning_rate": 7.72e-07,
|
127 |
+
"loss": 1.7178,
|
128 |
+
"step": 200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.04,
|
132 |
+
"learning_rate": 8.12e-07,
|
133 |
+
"loss": 1.6872,
|
134 |
+
"step": 210
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.04,
|
138 |
+
"learning_rate": 8.52e-07,
|
139 |
+
"loss": 1.6504,
|
140 |
+
"step": 220
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.04,
|
144 |
+
"learning_rate": 8.92e-07,
|
145 |
+
"loss": 1.6955,
|
146 |
+
"step": 230
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.04,
|
150 |
+
"learning_rate": 9.32e-07,
|
151 |
+
"loss": 1.6822,
|
152 |
+
"step": 240
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.05,
|
156 |
+
"learning_rate": 9.72e-07,
|
157 |
+
"loss": 1.647,
|
158 |
+
"step": 250
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.05,
|
162 |
+
"learning_rate": 1.012e-06,
|
163 |
+
"loss": 1.6131,
|
164 |
+
"step": 260
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.05,
|
168 |
+
"learning_rate": 1.052e-06,
|
169 |
+
"loss": 1.6433,
|
170 |
+
"step": 270
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.05,
|
174 |
+
"learning_rate": 1.092e-06,
|
175 |
+
"loss": 1.596,
|
176 |
+
"step": 280
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.05,
|
180 |
+
"learning_rate": 1.132e-06,
|
181 |
+
"loss": 1.5824,
|
182 |
+
"step": 290
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.05,
|
186 |
+
"learning_rate": 1.172e-06,
|
187 |
+
"loss": 1.5606,
|
188 |
+
"step": 300
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.06,
|
192 |
+
"learning_rate": 1.212e-06,
|
193 |
+
"loss": 1.5886,
|
194 |
+
"step": 310
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.06,
|
198 |
+
"learning_rate": 1.252e-06,
|
199 |
+
"loss": 1.5905,
|
200 |
+
"step": 320
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.06,
|
204 |
+
"learning_rate": 1.292e-06,
|
205 |
+
"loss": 1.5493,
|
206 |
+
"step": 330
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.06,
|
210 |
+
"learning_rate": 1.332e-06,
|
211 |
+
"loss": 1.5734,
|
212 |
+
"step": 340
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.06,
|
216 |
+
"learning_rate": 1.372e-06,
|
217 |
+
"loss": 1.5435,
|
218 |
+
"step": 350
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.07,
|
222 |
+
"learning_rate": 1.4119999999999998e-06,
|
223 |
+
"loss": 1.5359,
|
224 |
+
"step": 360
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.07,
|
228 |
+
"learning_rate": 1.4519999999999998e-06,
|
229 |
+
"loss": 1.5579,
|
230 |
+
"step": 370
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.07,
|
234 |
+
"learning_rate": 1.4919999999999999e-06,
|
235 |
+
"loss": 1.5358,
|
236 |
+
"step": 380
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.07,
|
240 |
+
"learning_rate": 1.532e-06,
|
241 |
+
"loss": 1.5509,
|
242 |
+
"step": 390
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.07,
|
246 |
+
"learning_rate": 1.572e-06,
|
247 |
+
"loss": 1.5116,
|
248 |
+
"step": 400
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.07,
|
252 |
+
"learning_rate": 1.612e-06,
|
253 |
+
"loss": 1.5251,
|
254 |
+
"step": 410
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.08,
|
258 |
+
"learning_rate": 1.6519999999999998e-06,
|
259 |
+
"loss": 1.5107,
|
260 |
+
"step": 420
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.08,
|
264 |
+
"learning_rate": 1.6919999999999999e-06,
|
265 |
+
"loss": 1.4805,
|
266 |
+
"step": 430
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.08,
|
270 |
+
"learning_rate": 1.7319999999999999e-06,
|
271 |
+
"loss": 1.4819,
|
272 |
+
"step": 440
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.08,
|
276 |
+
"learning_rate": 1.772e-06,
|
277 |
+
"loss": 1.4897,
|
278 |
+
"step": 450
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.08,
|
282 |
+
"learning_rate": 1.812e-06,
|
283 |
+
"loss": 1.4824,
|
284 |
+
"step": 460
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.09,
|
288 |
+
"learning_rate": 1.852e-06,
|
289 |
+
"loss": 1.4822,
|
290 |
+
"step": 470
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.09,
|
294 |
+
"learning_rate": 1.8919999999999998e-06,
|
295 |
+
"loss": 1.5,
|
296 |
+
"step": 480
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.09,
|
300 |
+
"learning_rate": 1.932e-06,
|
301 |
+
"loss": 1.4595,
|
302 |
+
"step": 490
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.09,
|
306 |
+
"learning_rate": 1.972e-06,
|
307 |
+
"loss": 1.4163,
|
308 |
+
"step": 500
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.09,
|
312 |
+
"eval_wmt2019_zh-en_accuracy": 0.5762586867111048,
|
313 |
+
"eval_wmt2019_zh-en_loss": 2.037109375,
|
314 |
+
"eval_wmt2019_zh-en_runtime": 77.5891,
|
315 |
+
"eval_wmt2019_zh-en_samples_per_second": 12.888,
|
316 |
+
"eval_wmt2019_zh-en_steps_per_second": 3.222,
|
317 |
+
"step": 500
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.09,
|
321 |
+
"eval_ted_trans_en-ja_accuracy": 0.49833809864188705,
|
322 |
+
"eval_ted_trans_en-ja_loss": 2.359375,
|
323 |
+
"eval_ted_trans_en-ja_runtime": 67.0162,
|
324 |
+
"eval_ted_trans_en-ja_samples_per_second": 11.952,
|
325 |
+
"eval_ted_trans_en-ja_steps_per_second": 2.999,
|
326 |
+
"step": 500
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.09,
|
330 |
+
"eval_ted_trans_zh-ja_accuracy": 0.41924741924741926,
|
331 |
+
"eval_ted_trans_zh-ja_loss": 3.099609375,
|
332 |
+
"eval_ted_trans_zh-ja_runtime": 4.122,
|
333 |
+
"eval_ted_trans_zh-ja_samples_per_second": 10.189,
|
334 |
+
"eval_ted_trans_zh-ja_steps_per_second": 2.669,
|
335 |
+
"step": 500
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.09,
|
339 |
+
"eval_sharegpt_accuracy": 0.6638255086604158,
|
340 |
+
"eval_sharegpt_loss": 1.4677734375,
|
341 |
+
"eval_sharegpt_runtime": 754.4011,
|
342 |
+
"eval_sharegpt_samples_per_second": 4.438,
|
343 |
+
"eval_sharegpt_steps_per_second": 1.109,
|
344 |
+
"step": 500
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.09,
|
348 |
+
"eval_dolly15k_accuracy": 0.5514953610117659,
|
349 |
+
"eval_dolly15k_loss": 1.9169921875,
|
350 |
+
"eval_dolly15k_runtime": 63.6309,
|
351 |
+
"eval_dolly15k_samples_per_second": 11.802,
|
352 |
+
"eval_dolly15k_steps_per_second": 2.955,
|
353 |
+
"step": 500
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.09,
|
357 |
+
"eval_ikala_accuracy": 0.6825314578991759,
|
358 |
+
"eval_ikala_loss": 1.2626953125,
|
359 |
+
"eval_ikala_runtime": 1328.8914,
|
360 |
+
"eval_ikala_samples_per_second": 10.328,
|
361 |
+
"eval_ikala_steps_per_second": 2.583,
|
362 |
+
"step": 500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.09,
|
366 |
+
"eval_oasst_export_accuracy": 0.5725428280687767,
|
367 |
+
"eval_oasst_export_loss": 2.181640625,
|
368 |
+
"eval_oasst_export_runtime": 206.1134,
|
369 |
+
"eval_oasst_export_samples_per_second": 10.184,
|
370 |
+
"eval_oasst_export_steps_per_second": 2.547,
|
371 |
+
"step": 500
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.09,
|
375 |
+
"learning_rate": 2.012e-06,
|
376 |
+
"loss": 1.4116,
|
377 |
+
"step": 510
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.09,
|
381 |
+
"learning_rate": 2.052e-06,
|
382 |
+
"loss": 1.4304,
|
383 |
+
"step": 520
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.1,
|
387 |
+
"learning_rate": 2.092e-06,
|
388 |
+
"loss": 1.4102,
|
389 |
+
"step": 530
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.1,
|
393 |
+
"learning_rate": 2.132e-06,
|
394 |
+
"loss": 1.3838,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.1,
|
399 |
+
"learning_rate": 2.172e-06,
|
400 |
+
"loss": 1.4179,
|
401 |
+
"step": 550
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.1,
|
405 |
+
"learning_rate": 2.212e-06,
|
406 |
+
"loss": 1.4286,
|
407 |
+
"step": 560
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 0.1,
|
411 |
+
"learning_rate": 2.2519999999999998e-06,
|
412 |
+
"loss": 1.426,
|
413 |
+
"step": 570
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.11,
|
417 |
+
"learning_rate": 2.292e-06,
|
418 |
+
"loss": 1.4257,
|
419 |
+
"step": 580
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 0.11,
|
423 |
+
"learning_rate": 2.332e-06,
|
424 |
+
"loss": 1.4342,
|
425 |
+
"step": 590
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.11,
|
429 |
+
"learning_rate": 2.372e-06,
|
430 |
+
"loss": 1.4015,
|
431 |
+
"step": 600
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.11,
|
435 |
+
"learning_rate": 2.412e-06,
|
436 |
+
"loss": 1.3999,
|
437 |
+
"step": 610
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.11,
|
441 |
+
"learning_rate": 2.452e-06,
|
442 |
+
"loss": 1.4062,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.11,
|
447 |
+
"learning_rate": 2.492e-06,
|
448 |
+
"loss": 1.427,
|
449 |
+
"step": 630
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 0.12,
|
453 |
+
"learning_rate": 2.532e-06,
|
454 |
+
"loss": 1.4171,
|
455 |
+
"step": 640
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 0.12,
|
459 |
+
"learning_rate": 2.572e-06,
|
460 |
+
"loss": 1.4221,
|
461 |
+
"step": 650
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.12,
|
465 |
+
"learning_rate": 2.612e-06,
|
466 |
+
"loss": 1.3547,
|
467 |
+
"step": 660
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 0.12,
|
471 |
+
"learning_rate": 2.652e-06,
|
472 |
+
"loss": 1.3783,
|
473 |
+
"step": 670
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 0.12,
|
477 |
+
"learning_rate": 2.6920000000000002e-06,
|
478 |
+
"loss": 1.3574,
|
479 |
+
"step": 680
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.13,
|
483 |
+
"learning_rate": 2.7320000000000003e-06,
|
484 |
+
"loss": 1.3604,
|
485 |
+
"step": 690
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.13,
|
489 |
+
"learning_rate": 2.7719999999999995e-06,
|
490 |
+
"loss": 1.3978,
|
491 |
+
"step": 700
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.13,
|
495 |
+
"learning_rate": 2.8119999999999995e-06,
|
496 |
+
"loss": 1.3879,
|
497 |
+
"step": 710
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 0.13,
|
501 |
+
"learning_rate": 2.8519999999999995e-06,
|
502 |
+
"loss": 1.3731,
|
503 |
+
"step": 720
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.13,
|
507 |
+
"learning_rate": 2.8919999999999996e-06,
|
508 |
+
"loss": 1.3732,
|
509 |
+
"step": 730
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 0.13,
|
513 |
+
"learning_rate": 2.9319999999999996e-06,
|
514 |
+
"loss": 1.3787,
|
515 |
+
"step": 740
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 0.14,
|
519 |
+
"learning_rate": 2.9719999999999997e-06,
|
520 |
+
"loss": 1.3842,
|
521 |
+
"step": 750
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.14,
|
525 |
+
"learning_rate": 3.0119999999999997e-06,
|
526 |
+
"loss": 1.3952,
|
527 |
+
"step": 760
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.14,
|
531 |
+
"learning_rate": 3.0519999999999997e-06,
|
532 |
+
"loss": 1.3117,
|
533 |
+
"step": 770
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.14,
|
537 |
+
"learning_rate": 3.0919999999999998e-06,
|
538 |
+
"loss": 1.3531,
|
539 |
+
"step": 780
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.14,
|
543 |
+
"learning_rate": 3.132e-06,
|
544 |
+
"loss": 1.3287,
|
545 |
+
"step": 790
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.15,
|
549 |
+
"learning_rate": 3.172e-06,
|
550 |
+
"loss": 1.3417,
|
551 |
+
"step": 800
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.15,
|
555 |
+
"learning_rate": 3.212e-06,
|
556 |
+
"loss": 1.3341,
|
557 |
+
"step": 810
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.15,
|
561 |
+
"learning_rate": 3.2519999999999995e-06,
|
562 |
+
"loss": 1.364,
|
563 |
+
"step": 820
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.15,
|
567 |
+
"learning_rate": 3.2919999999999996e-06,
|
568 |
+
"loss": 1.3201,
|
569 |
+
"step": 830
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.15,
|
573 |
+
"learning_rate": 3.3319999999999996e-06,
|
574 |
+
"loss": 1.3714,
|
575 |
+
"step": 840
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.15,
|
579 |
+
"learning_rate": 3.3719999999999996e-06,
|
580 |
+
"loss": 1.3098,
|
581 |
+
"step": 850
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 0.16,
|
585 |
+
"learning_rate": 3.4119999999999997e-06,
|
586 |
+
"loss": 1.3222,
|
587 |
+
"step": 860
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.16,
|
591 |
+
"learning_rate": 3.4519999999999997e-06,
|
592 |
+
"loss": 1.3451,
|
593 |
+
"step": 870
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.16,
|
597 |
+
"learning_rate": 3.4919999999999998e-06,
|
598 |
+
"loss": 1.3502,
|
599 |
+
"step": 880
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.16,
|
603 |
+
"learning_rate": 3.532e-06,
|
604 |
+
"loss": 1.3445,
|
605 |
+
"step": 890
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.16,
|
609 |
+
"learning_rate": 3.572e-06,
|
610 |
+
"loss": 1.3304,
|
611 |
+
"step": 900
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.17,
|
615 |
+
"learning_rate": 3.612e-06,
|
616 |
+
"loss": 1.3081,
|
617 |
+
"step": 910
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.17,
|
621 |
+
"learning_rate": 3.652e-06,
|
622 |
+
"loss": 1.3106,
|
623 |
+
"step": 920
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 0.17,
|
627 |
+
"learning_rate": 3.692e-06,
|
628 |
+
"loss": 1.3357,
|
629 |
+
"step": 930
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.17,
|
633 |
+
"learning_rate": 3.732e-06,
|
634 |
+
"loss": 1.3243,
|
635 |
+
"step": 940
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.17,
|
639 |
+
"learning_rate": 3.7719999999999996e-06,
|
640 |
+
"loss": 1.3164,
|
641 |
+
"step": 950
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.17,
|
645 |
+
"learning_rate": 3.8119999999999997e-06,
|
646 |
+
"loss": 1.3124,
|
647 |
+
"step": 960
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.18,
|
651 |
+
"learning_rate": 3.852e-06,
|
652 |
+
"loss": 1.3162,
|
653 |
+
"step": 970
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.18,
|
657 |
+
"learning_rate": 3.891999999999999e-06,
|
658 |
+
"loss": 1.3124,
|
659 |
+
"step": 980
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 0.18,
|
663 |
+
"learning_rate": 3.932e-06,
|
664 |
+
"loss": 1.3347,
|
665 |
+
"step": 990
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 0.18,
|
669 |
+
"learning_rate": 3.971999999999999e-06,
|
670 |
+
"loss": 1.3174,
|
671 |
+
"step": 1000
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.18,
|
675 |
+
"eval_wmt2019_zh-en_accuracy": 0.5819691791089524,
|
676 |
+
"eval_wmt2019_zh-en_loss": 1.9326171875,
|
677 |
+
"eval_wmt2019_zh-en_runtime": 76.631,
|
678 |
+
"eval_wmt2019_zh-en_samples_per_second": 13.05,
|
679 |
+
"eval_wmt2019_zh-en_steps_per_second": 3.262,
|
680 |
+
"step": 1000
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.18,
|
684 |
+
"eval_ted_trans_en-ja_accuracy": 0.5248655214298109,
|
685 |
+
"eval_ted_trans_en-ja_loss": 2.15625,
|
686 |
+
"eval_ted_trans_en-ja_runtime": 67.1457,
|
687 |
+
"eval_ted_trans_en-ja_samples_per_second": 11.929,
|
688 |
+
"eval_ted_trans_en-ja_steps_per_second": 2.993,
|
689 |
+
"step": 1000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.18,
|
693 |
+
"eval_ted_trans_zh-ja_accuracy": 0.46262002743484226,
|
694 |
+
"eval_ted_trans_zh-ja_loss": 2.8671875,
|
695 |
+
"eval_ted_trans_zh-ja_runtime": 3.9271,
|
696 |
+
"eval_ted_trans_zh-ja_samples_per_second": 10.695,
|
697 |
+
"eval_ted_trans_zh-ja_steps_per_second": 2.801,
|
698 |
+
"step": 1000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.18,
|
702 |
+
"eval_sharegpt_accuracy": 0.6835767342429696,
|
703 |
+
"eval_sharegpt_loss": 1.326171875,
|
704 |
+
"eval_sharegpt_runtime": 751.6419,
|
705 |
+
"eval_sharegpt_samples_per_second": 4.454,
|
706 |
+
"eval_sharegpt_steps_per_second": 1.114,
|
707 |
+
"step": 1000
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 0.18,
|
711 |
+
"eval_dolly15k_accuracy": 0.5566094783945817,
|
712 |
+
"eval_dolly15k_loss": 1.84765625,
|
713 |
+
"eval_dolly15k_runtime": 63.1655,
|
714 |
+
"eval_dolly15k_samples_per_second": 11.889,
|
715 |
+
"eval_dolly15k_steps_per_second": 2.976,
|
716 |
+
"step": 1000
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.18,
|
720 |
+
"eval_ikala_accuracy": 0.6979014199391581,
|
721 |
+
"eval_ikala_loss": 1.1513671875,
|
722 |
+
"eval_ikala_runtime": 1328.524,
|
723 |
+
"eval_ikala_samples_per_second": 10.331,
|
724 |
+
"eval_ikala_steps_per_second": 2.583,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.18,
|
729 |
+
"eval_oasst_export_accuracy": 0.5836786504830943,
|
730 |
+
"eval_oasst_export_loss": 2.068359375,
|
731 |
+
"eval_oasst_export_runtime": 206.6429,
|
732 |
+
"eval_oasst_export_samples_per_second": 10.158,
|
733 |
+
"eval_oasst_export_steps_per_second": 2.541,
|
734 |
+
"step": 1000
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.18,
|
738 |
+
"learning_rate": 4.011999999999999e-06,
|
739 |
+
"loss": 1.2867,
|
740 |
+
"step": 1010
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.19,
|
744 |
+
"learning_rate": 4.0519999999999995e-06,
|
745 |
+
"loss": 1.2933,
|
746 |
+
"step": 1020
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.19,
|
750 |
+
"learning_rate": 4.091999999999999e-06,
|
751 |
+
"loss": 1.2778,
|
752 |
+
"step": 1030
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.19,
|
756 |
+
"learning_rate": 4.1319999999999996e-06,
|
757 |
+
"loss": 1.3085,
|
758 |
+
"step": 1040
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.19,
|
762 |
+
"learning_rate": 4.171999999999999e-06,
|
763 |
+
"loss": 1.2772,
|
764 |
+
"step": 1050
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.19,
|
768 |
+
"learning_rate": 4.212e-06,
|
769 |
+
"loss": 1.3461,
|
770 |
+
"step": 1060
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.19,
|
774 |
+
"learning_rate": 4.251999999999999e-06,
|
775 |
+
"loss": 1.3247,
|
776 |
+
"step": 1070
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.2,
|
780 |
+
"learning_rate": 4.292e-06,
|
781 |
+
"loss": 1.2988,
|
782 |
+
"step": 1080
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.2,
|
786 |
+
"learning_rate": 4.331999999999999e-06,
|
787 |
+
"loss": 1.3175,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.2,
|
792 |
+
"learning_rate": 4.372e-06,
|
793 |
+
"loss": 1.3061,
|
794 |
+
"step": 1100
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.2,
|
798 |
+
"learning_rate": 4.4119999999999994e-06,
|
799 |
+
"loss": 1.3001,
|
800 |
+
"step": 1110
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.2,
|
804 |
+
"learning_rate": 4.452e-06,
|
805 |
+
"loss": 1.3325,
|
806 |
+
"step": 1120
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 0.21,
|
810 |
+
"learning_rate": 4.4919999999999995e-06,
|
811 |
+
"loss": 1.3177,
|
812 |
+
"step": 1130
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.21,
|
816 |
+
"learning_rate": 4.532e-06,
|
817 |
+
"loss": 1.3128,
|
818 |
+
"step": 1140
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 0.21,
|
822 |
+
"learning_rate": 4.572e-06,
|
823 |
+
"loss": 1.302,
|
824 |
+
"step": 1150
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.21,
|
828 |
+
"learning_rate": 4.612e-06,
|
829 |
+
"loss": 1.3233,
|
830 |
+
"step": 1160
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.21,
|
834 |
+
"learning_rate": 4.652e-06,
|
835 |
+
"loss": 1.3075,
|
836 |
+
"step": 1170
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.21,
|
840 |
+
"learning_rate": 4.692e-06,
|
841 |
+
"loss": 1.3044,
|
842 |
+
"step": 1180
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.22,
|
846 |
+
"learning_rate": 4.732e-06,
|
847 |
+
"loss": 1.2686,
|
848 |
+
"step": 1190
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.22,
|
852 |
+
"learning_rate": 4.772e-06,
|
853 |
+
"loss": 1.3169,
|
854 |
+
"step": 1200
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 0.22,
|
858 |
+
"learning_rate": 4.812e-06,
|
859 |
+
"loss": 1.3075,
|
860 |
+
"step": 1210
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.22,
|
864 |
+
"learning_rate": 4.852e-06,
|
865 |
+
"loss": 1.2911,
|
866 |
+
"step": 1220
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 0.22,
|
870 |
+
"learning_rate": 4.892e-06,
|
871 |
+
"loss": 1.289,
|
872 |
+
"step": 1230
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.23,
|
876 |
+
"learning_rate": 4.932e-06,
|
877 |
+
"loss": 1.2944,
|
878 |
+
"step": 1240
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.23,
|
882 |
+
"learning_rate": 4.972e-06,
|
883 |
+
"loss": 1.2753,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.23,
|
888 |
+
"learning_rate": 5.012e-06,
|
889 |
+
"loss": 1.2949,
|
890 |
+
"step": 1260
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.23,
|
894 |
+
"learning_rate": 5.051999999999999e-06,
|
895 |
+
"loss": 1.2816,
|
896 |
+
"step": 1270
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.23,
|
900 |
+
"learning_rate": 5.092e-06,
|
901 |
+
"loss": 1.3104,
|
902 |
+
"step": 1280
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.23,
|
906 |
+
"learning_rate": 5.131999999999999e-06,
|
907 |
+
"loss": 1.274,
|
908 |
+
"step": 1290
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 0.24,
|
912 |
+
"learning_rate": 5.172e-06,
|
913 |
+
"loss": 1.296,
|
914 |
+
"step": 1300
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.24,
|
918 |
+
"learning_rate": 5.211999999999999e-06,
|
919 |
+
"loss": 1.29,
|
920 |
+
"step": 1310
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.24,
|
924 |
+
"learning_rate": 5.252e-06,
|
925 |
+
"loss": 1.2643,
|
926 |
+
"step": 1320
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.24,
|
930 |
+
"learning_rate": 5.2919999999999995e-06,
|
931 |
+
"loss": 1.2882,
|
932 |
+
"step": 1330
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.24,
|
936 |
+
"learning_rate": 5.332e-06,
|
937 |
+
"loss": 1.295,
|
938 |
+
"step": 1340
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.25,
|
942 |
+
"learning_rate": 5.3719999999999996e-06,
|
943 |
+
"loss": 1.248,
|
944 |
+
"step": 1350
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.25,
|
948 |
+
"learning_rate": 5.412e-06,
|
949 |
+
"loss": 1.3236,
|
950 |
+
"step": 1360
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 0.25,
|
954 |
+
"learning_rate": 5.452e-06,
|
955 |
+
"loss": 1.2925,
|
956 |
+
"step": 1370
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.25,
|
960 |
+
"learning_rate": 5.492e-06,
|
961 |
+
"loss": 1.2991,
|
962 |
+
"step": 1380
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.25,
|
966 |
+
"learning_rate": 5.532e-06,
|
967 |
+
"loss": 1.2853,
|
968 |
+
"step": 1390
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.25,
|
972 |
+
"learning_rate": 5.572e-06,
|
973 |
+
"loss": 1.2835,
|
974 |
+
"step": 1400
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.26,
|
978 |
+
"learning_rate": 5.612e-06,
|
979 |
+
"loss": 1.2687,
|
980 |
+
"step": 1410
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.26,
|
984 |
+
"learning_rate": 5.652e-06,
|
985 |
+
"loss": 1.254,
|
986 |
+
"step": 1420
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.26,
|
990 |
+
"learning_rate": 5.692e-06,
|
991 |
+
"loss": 1.3045,
|
992 |
+
"step": 1430
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 0.26,
|
996 |
+
"learning_rate": 5.732e-06,
|
997 |
+
"loss": 1.2598,
|
998 |
+
"step": 1440
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.26,
|
1002 |
+
"learning_rate": 5.772e-06,
|
1003 |
+
"loss": 1.2628,
|
1004 |
+
"step": 1450
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.27,
|
1008 |
+
"learning_rate": 5.8120000000000004e-06,
|
1009 |
+
"loss": 1.2519,
|
1010 |
+
"step": 1460
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.27,
|
1014 |
+
"learning_rate": 5.852e-06,
|
1015 |
+
"loss": 1.2902,
|
1016 |
+
"step": 1470
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.27,
|
1020 |
+
"learning_rate": 5.892e-06,
|
1021 |
+
"loss": 1.2999,
|
1022 |
+
"step": 1480
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 0.27,
|
1026 |
+
"learning_rate": 5.932e-06,
|
1027 |
+
"loss": 1.283,
|
1028 |
+
"step": 1490
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.27,
|
1032 |
+
"learning_rate": 5.972e-06,
|
1033 |
+
"loss": 1.2697,
|
1034 |
+
"step": 1500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.27,
|
1038 |
+
"eval_wmt2019_zh-en_accuracy": 0.587438249823571,
|
1039 |
+
"eval_wmt2019_zh-en_loss": 1.9453125,
|
1040 |
+
"eval_wmt2019_zh-en_runtime": 77.3466,
|
1041 |
+
"eval_wmt2019_zh-en_samples_per_second": 12.929,
|
1042 |
+
"eval_wmt2019_zh-en_steps_per_second": 3.232,
|
1043 |
+
"step": 1500
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 0.27,
|
1047 |
+
"eval_ted_trans_en-ja_accuracy": 0.5393802273612374,
|
1048 |
+
"eval_ted_trans_en-ja_loss": 2.05078125,
|
1049 |
+
"eval_ted_trans_en-ja_runtime": 66.8272,
|
1050 |
+
"eval_ted_trans_en-ja_samples_per_second": 11.986,
|
1051 |
+
"eval_ted_trans_en-ja_steps_per_second": 3.008,
|
1052 |
+
"step": 1500
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.27,
|
1056 |
+
"eval_ted_trans_zh-ja_accuracy": 0.46426092990978485,
|
1057 |
+
"eval_ted_trans_zh-ja_loss": 2.8203125,
|
1058 |
+
"eval_ted_trans_zh-ja_runtime": 3.6203,
|
1059 |
+
"eval_ted_trans_zh-ja_samples_per_second": 11.601,
|
1060 |
+
"eval_ted_trans_zh-ja_steps_per_second": 3.038,
|
1061 |
+
"step": 1500
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 0.27,
|
1065 |
+
"eval_sharegpt_accuracy": 0.6912774549792565,
|
1066 |
+
"eval_sharegpt_loss": 1.2744140625,
|
1067 |
+
"eval_sharegpt_runtime": 755.8288,
|
1068 |
+
"eval_sharegpt_samples_per_second": 4.43,
|
1069 |
+
"eval_sharegpt_steps_per_second": 1.107,
|
1070 |
+
"step": 1500
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 0.27,
|
1074 |
+
"eval_dolly15k_accuracy": 0.5594429758634393,
|
1075 |
+
"eval_dolly15k_loss": 1.8212890625,
|
1076 |
+
"eval_dolly15k_runtime": 63.0527,
|
1077 |
+
"eval_dolly15k_samples_per_second": 11.911,
|
1078 |
+
"eval_dolly15k_steps_per_second": 2.982,
|
1079 |
+
"step": 1500
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.27,
|
1083 |
+
"eval_ikala_accuracy": 0.7042301907582296,
|
1084 |
+
"eval_ikala_loss": 1.115234375,
|
1085 |
+
"eval_ikala_runtime": 1329.6879,
|
1086 |
+
"eval_ikala_samples_per_second": 10.322,
|
1087 |
+
"eval_ikala_steps_per_second": 2.581,
|
1088 |
+
"step": 1500
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.27,
|
1092 |
+
"eval_oasst_export_accuracy": 0.5868625620259539,
|
1093 |
+
"eval_oasst_export_loss": 2.0390625,
|
1094 |
+
"eval_oasst_export_runtime": 206.437,
|
1095 |
+
"eval_oasst_export_samples_per_second": 10.168,
|
1096 |
+
"eval_oasst_export_steps_per_second": 2.543,
|
1097 |
+
"step": 1500
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.27,
|
1101 |
+
"learning_rate": 6.011999999999999e-06,
|
1102 |
+
"loss": 1.3179,
|
1103 |
+
"step": 1510
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 0.28,
|
1107 |
+
"learning_rate": 6.051999999999999e-06,
|
1108 |
+
"loss": 1.2781,
|
1109 |
+
"step": 1520
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 0.28,
|
1113 |
+
"learning_rate": 6.0919999999999994e-06,
|
1114 |
+
"loss": 1.2717,
|
1115 |
+
"step": 1530
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.28,
|
1119 |
+
"learning_rate": 6.131999999999999e-06,
|
1120 |
+
"loss": 1.2661,
|
1121 |
+
"step": 1540
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 0.28,
|
1125 |
+
"learning_rate": 6.1719999999999995e-06,
|
1126 |
+
"loss": 1.287,
|
1127 |
+
"step": 1550
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 0.28,
|
1131 |
+
"learning_rate": 6.211999999999999e-06,
|
1132 |
+
"loss": 1.2784,
|
1133 |
+
"step": 1560
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.29,
|
1137 |
+
"learning_rate": 6.252e-06,
|
1138 |
+
"loss": 1.2767,
|
1139 |
+
"step": 1570
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 0.29,
|
1143 |
+
"learning_rate": 6.291999999999999e-06,
|
1144 |
+
"loss": 1.2657,
|
1145 |
+
"step": 1580
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 0.29,
|
1149 |
+
"learning_rate": 6.332e-06,
|
1150 |
+
"loss": 1.2957,
|
1151 |
+
"step": 1590
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 0.29,
|
1155 |
+
"learning_rate": 6.371999999999999e-06,
|
1156 |
+
"loss": 1.3181,
|
1157 |
+
"step": 1600
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.29,
|
1161 |
+
"learning_rate": 6.412e-06,
|
1162 |
+
"loss": 1.2688,
|
1163 |
+
"step": 1610
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 0.29,
|
1167 |
+
"learning_rate": 6.451999999999999e-06,
|
1168 |
+
"loss": 1.2598,
|
1169 |
+
"step": 1620
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 0.3,
|
1173 |
+
"learning_rate": 6.492e-06,
|
1174 |
+
"loss": 1.2875,
|
1175 |
+
"step": 1630
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 0.3,
|
1179 |
+
"learning_rate": 6.5319999999999995e-06,
|
1180 |
+
"loss": 1.2573,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 0.3,
|
1185 |
+
"learning_rate": 6.572e-06,
|
1186 |
+
"loss": 1.2698,
|
1187 |
+
"step": 1650
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 0.3,
|
1191 |
+
"learning_rate": 6.6119999999999995e-06,
|
1192 |
+
"loss": 1.271,
|
1193 |
+
"step": 1660
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.3,
|
1197 |
+
"learning_rate": 6.652e-06,
|
1198 |
+
"loss": 1.2724,
|
1199 |
+
"step": 1670
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.31,
|
1203 |
+
"learning_rate": 6.692e-06,
|
1204 |
+
"loss": 1.2527,
|
1205 |
+
"step": 1680
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 0.31,
|
1209 |
+
"learning_rate": 6.732e-06,
|
1210 |
+
"loss": 1.2659,
|
1211 |
+
"step": 1690
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 0.31,
|
1215 |
+
"learning_rate": 6.772e-06,
|
1216 |
+
"loss": 1.2298,
|
1217 |
+
"step": 1700
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 0.31,
|
1221 |
+
"learning_rate": 6.812e-06,
|
1222 |
+
"loss": 1.2217,
|
1223 |
+
"step": 1710
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 0.31,
|
1227 |
+
"learning_rate": 6.852e-06,
|
1228 |
+
"loss": 1.2695,
|
1229 |
+
"step": 1720
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 0.31,
|
1233 |
+
"learning_rate": 6.892e-06,
|
1234 |
+
"loss": 1.2339,
|
1235 |
+
"step": 1730
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.32,
|
1239 |
+
"learning_rate": 6.932e-06,
|
1240 |
+
"loss": 1.2342,
|
1241 |
+
"step": 1740
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.32,
|
1245 |
+
"learning_rate": 6.972e-06,
|
1246 |
+
"loss": 1.2652,
|
1247 |
+
"step": 1750
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 0.32,
|
1251 |
+
"learning_rate": 7.011999999999999e-06,
|
1252 |
+
"loss": 1.2411,
|
1253 |
+
"step": 1760
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 0.32,
|
1257 |
+
"learning_rate": 7.0519999999999996e-06,
|
1258 |
+
"loss": 1.2478,
|
1259 |
+
"step": 1770
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 0.32,
|
1263 |
+
"learning_rate": 7.091999999999999e-06,
|
1264 |
+
"loss": 1.2379,
|
1265 |
+
"step": 1780
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 0.33,
|
1269 |
+
"learning_rate": 7.132e-06,
|
1270 |
+
"loss": 1.2847,
|
1271 |
+
"step": 1790
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 0.33,
|
1275 |
+
"learning_rate": 7.171999999999999e-06,
|
1276 |
+
"loss": 1.2378,
|
1277 |
+
"step": 1800
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 0.33,
|
1281 |
+
"learning_rate": 7.212e-06,
|
1282 |
+
"loss": 1.2901,
|
1283 |
+
"step": 1810
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.33,
|
1287 |
+
"learning_rate": 7.251999999999999e-06,
|
1288 |
+
"loss": 1.2662,
|
1289 |
+
"step": 1820
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.33,
|
1293 |
+
"learning_rate": 7.292e-06,
|
1294 |
+
"loss": 1.2622,
|
1295 |
+
"step": 1830
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 0.33,
|
1299 |
+
"learning_rate": 7.3319999999999994e-06,
|
1300 |
+
"loss": 1.2518,
|
1301 |
+
"step": 1840
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 0.34,
|
1305 |
+
"learning_rate": 7.372e-06,
|
1306 |
+
"loss": 1.2648,
|
1307 |
+
"step": 1850
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 0.34,
|
1311 |
+
"learning_rate": 7.4119999999999995e-06,
|
1312 |
+
"loss": 1.2582,
|
1313 |
+
"step": 1860
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.34,
|
1317 |
+
"learning_rate": 7.452e-06,
|
1318 |
+
"loss": 1.2545,
|
1319 |
+
"step": 1870
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.34,
|
1323 |
+
"learning_rate": 7.492e-06,
|
1324 |
+
"loss": 1.2372,
|
1325 |
+
"step": 1880
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.34,
|
1329 |
+
"learning_rate": 7.532e-06,
|
1330 |
+
"loss": 1.2266,
|
1331 |
+
"step": 1890
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 0.35,
|
1335 |
+
"learning_rate": 7.572e-06,
|
1336 |
+
"loss": 1.2509,
|
1337 |
+
"step": 1900
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 0.35,
|
1341 |
+
"learning_rate": 7.612e-06,
|
1342 |
+
"loss": 1.2487,
|
1343 |
+
"step": 1910
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.35,
|
1347 |
+
"learning_rate": 7.652e-06,
|
1348 |
+
"loss": 1.2968,
|
1349 |
+
"step": 1920
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.35,
|
1353 |
+
"learning_rate": 7.692e-06,
|
1354 |
+
"loss": 1.2719,
|
1355 |
+
"step": 1930
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 0.35,
|
1359 |
+
"learning_rate": 7.732e-06,
|
1360 |
+
"loss": 1.2537,
|
1361 |
+
"step": 1940
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.35,
|
1365 |
+
"learning_rate": 7.772e-06,
|
1366 |
+
"loss": 1.2733,
|
1367 |
+
"step": 1950
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.36,
|
1371 |
+
"learning_rate": 7.812e-06,
|
1372 |
+
"loss": 1.2663,
|
1373 |
+
"step": 1960
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.36,
|
1377 |
+
"learning_rate": 7.852e-06,
|
1378 |
+
"loss": 1.2496,
|
1379 |
+
"step": 1970
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 0.36,
|
1383 |
+
"learning_rate": 7.892e-06,
|
1384 |
+
"loss": 1.2542,
|
1385 |
+
"step": 1980
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.36,
|
1389 |
+
"learning_rate": 7.932e-06,
|
1390 |
+
"loss": 1.2398,
|
1391 |
+
"step": 1990
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.36,
|
1395 |
+
"learning_rate": 7.972e-06,
|
1396 |
+
"loss": 1.2564,
|
1397 |
+
"step": 2000
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 0.36,
|
1401 |
+
"eval_wmt2019_zh-en_accuracy": 0.5861558940985061,
|
1402 |
+
"eval_wmt2019_zh-en_loss": 1.9638671875,
|
1403 |
+
"eval_wmt2019_zh-en_runtime": 76.6629,
|
1404 |
+
"eval_wmt2019_zh-en_samples_per_second": 13.044,
|
1405 |
+
"eval_wmt2019_zh-en_steps_per_second": 3.261,
|
1406 |
+
"step": 2000
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 0.36,
|
1410 |
+
"eval_ted_trans_en-ja_accuracy": 0.5495979979766785,
|
1411 |
+
"eval_ted_trans_en-ja_loss": 2.001953125,
|
1412 |
+
"eval_ted_trans_en-ja_runtime": 66.9893,
|
1413 |
+
"eval_ted_trans_en-ja_samples_per_second": 11.957,
|
1414 |
+
"eval_ted_trans_en-ja_steps_per_second": 3.0,
|
1415 |
+
"step": 2000
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 0.36,
|
1419 |
+
"eval_ted_trans_zh-ja_accuracy": 0.47411944869831546,
|
1420 |
+
"eval_ted_trans_zh-ja_loss": 2.7109375,
|
1421 |
+
"eval_ted_trans_zh-ja_runtime": 4.1683,
|
1422 |
+
"eval_ted_trans_zh-ja_samples_per_second": 10.076,
|
1423 |
+
"eval_ted_trans_zh-ja_steps_per_second": 2.639,
|
1424 |
+
"step": 2000
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.36,
|
1428 |
+
"eval_sharegpt_accuracy": 0.6977260319800304,
|
1429 |
+
"eval_sharegpt_loss": 1.234375,
|
1430 |
+
"eval_sharegpt_runtime": 751.9973,
|
1431 |
+
"eval_sharegpt_samples_per_second": 4.452,
|
1432 |
+
"eval_sharegpt_steps_per_second": 1.113,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.36,
|
1437 |
+
"eval_dolly15k_accuracy": 0.5599267437239759,
|
1438 |
+
"eval_dolly15k_loss": 1.822265625,
|
1439 |
+
"eval_dolly15k_runtime": 63.1103,
|
1440 |
+
"eval_dolly15k_samples_per_second": 11.9,
|
1441 |
+
"eval_dolly15k_steps_per_second": 2.979,
|
1442 |
+
"step": 2000
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 0.36,
|
1446 |
+
"eval_ikala_accuracy": 0.708770642571952,
|
1447 |
+
"eval_ikala_loss": 1.0927734375,
|
1448 |
+
"eval_ikala_runtime": 1329.0014,
|
1449 |
+
"eval_ikala_samples_per_second": 10.327,
|
1450 |
+
"eval_ikala_steps_per_second": 2.582,
|
1451 |
+
"step": 2000
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.36,
|
1455 |
+
"eval_oasst_export_accuracy": 0.5890918246383349,
|
1456 |
+
"eval_oasst_export_loss": 2.033203125,
|
1457 |
+
"eval_oasst_export_runtime": 207.1646,
|
1458 |
+
"eval_oasst_export_samples_per_second": 10.132,
|
1459 |
+
"eval_oasst_export_steps_per_second": 2.534,
|
1460 |
+
"step": 2000
|
1461 |
+
}
|
1462 |
+
],
|
1463 |
+
"max_steps": 43960,
|
1464 |
+
"num_train_epochs": 8,
|
1465 |
+
"total_flos": 952516817190912.0,
|
1466 |
+
"trial_name": null,
|
1467 |
+
"trial_params": null
|
1468 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:35b62182d7892f980c48028a76cd6e9d78707555ee9860c7cec9e87cd0d15bef
|
3 |
+
size 4923
|