heruberuto commited on
Commit
fb70f38
1 Parent(s): 50e9a02

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/mt5-large",
3
+ "architectures": [
4
+ "MT5ForConditionalGeneration"
5
+ ],
6
+ "classifier_dropout": 0.0,
7
+ "d_ff": 2816,
8
+ "d_kv": 64,
9
+ "d_model": 1024,
10
+ "decoder_start_token_id": 0,
11
+ "dense_act_fn": "gelu_new",
12
+ "dropout_rate": 0.1,
13
+ "eos_token_id": 1,
14
+ "feed_forward_proj": "gated-gelu",
15
+ "initializer_factor": 1.0,
16
+ "is_encoder_decoder": true,
17
+ "is_gated_act": true,
18
+ "layer_norm_epsilon": 1e-06,
19
+ "model_type": "mt5",
20
+ "num_decoder_layers": 24,
21
+ "num_heads": 16,
22
+ "num_layers": 24,
23
+ "output_past": true,
24
+ "pad_token_id": 0,
25
+ "relative_attention_max_distance": 128,
26
+ "relative_attention_num_buckets": 32,
27
+ "tie_word_embeddings": false,
28
+ "tokenizer_class": "T5Tokenizer",
29
+ "torch_dtype": "float32",
30
+ "transformers_version": "4.32.0.dev0",
31
+ "use_cache": true,
32
+ "vocab_size": 250112
33
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "decoder_start_token_id": 0,
4
+ "eos_token_id": 1,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.32.0.dev0"
7
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0cb8b0c2ccf7503787401b77021b3e759fbd163436644225c5f7cada93e46cb7
3
+ size 9837132703
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ecb919a4b4b6328cd095095497fb4cd5a3939cbc4a030951ac802d6f3b56feef
3
+ size 4918519193
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3263ee99e9d98436b30959acd0d78c2473e4b93f48341eb6c5ea1d0c7411dea0
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53926e5aaff3807d06f802b0f5e91d31ea5a856628d982ba61d20df6a290d02d
3
+ size 627
special_tokens_map.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "eos_token": "</s>",
3
+ "pad_token": "<pad>",
4
+ "unk_token": "<unk>"
5
+ }
spiece.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
3
+ size 4309802
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:faaa6405f5f79c9e788c7980874a9a3b5b0aea07b53bd9243bf1abb8f5c49c81
3
+ size 16330467
tokenizer_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": null,
3
+ "clean_up_tokenization_spaces": true,
4
+ "eos_token": "</s>",
5
+ "extra_ids": 0,
6
+ "legacy": true,
7
+ "model_max_length": 1000000000000000019884624838656,
8
+ "pad_token": "<pad>",
9
+ "sp_model_kwargs": {},
10
+ "tokenizer_class": "T5Tokenizer",
11
+ "unk_token": "<unk>"
12
+ }
trainer_state.json ADDED
@@ -0,0 +1,2536 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.785961627960205,
3
+ "best_model_checkpoint": "experiments/qg/google/mt5-large_all/checkpoint-126000",
4
+ "epoch": 1.9977723341340248,
5
+ "global_step": 126000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 3e-05,
13
+ "loss": 8.8865,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 2.9976277372262774e-05,
19
+ "loss": 4.0325,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.02,
24
+ "eval_loss": 3.3621604442596436,
25
+ "eval_runtime": 444.6073,
26
+ "eval_samples_per_second": 89.967,
27
+ "eval_steps_per_second": 11.246,
28
+ "step": 1000
29
+ },
30
+ {
31
+ "epoch": 0.02,
32
+ "learning_rate": 2.9952554744525548e-05,
33
+ "loss": 3.6162,
34
+ "step": 1500
35
+ },
36
+ {
37
+ "epoch": 0.03,
38
+ "learning_rate": 2.992883211678832e-05,
39
+ "loss": 3.4961,
40
+ "step": 2000
41
+ },
42
+ {
43
+ "epoch": 0.03,
44
+ "eval_loss": 3.1849684715270996,
45
+ "eval_runtime": 443.8466,
46
+ "eval_samples_per_second": 90.121,
47
+ "eval_steps_per_second": 11.265,
48
+ "step": 2000
49
+ },
50
+ {
51
+ "epoch": 0.04,
52
+ "learning_rate": 2.9905109489051095e-05,
53
+ "loss": 3.4531,
54
+ "step": 2500
55
+ },
56
+ {
57
+ "epoch": 0.05,
58
+ "learning_rate": 2.988138686131387e-05,
59
+ "loss": 3.3883,
60
+ "step": 3000
61
+ },
62
+ {
63
+ "epoch": 0.05,
64
+ "eval_loss": 3.0837316513061523,
65
+ "eval_runtime": 451.6674,
66
+ "eval_samples_per_second": 88.561,
67
+ "eval_steps_per_second": 11.07,
68
+ "step": 3000
69
+ },
70
+ {
71
+ "epoch": 0.06,
72
+ "learning_rate": 2.9857664233576645e-05,
73
+ "loss": 3.3483,
74
+ "step": 3500
75
+ },
76
+ {
77
+ "epoch": 0.06,
78
+ "learning_rate": 2.9833941605839416e-05,
79
+ "loss": 3.281,
80
+ "step": 4000
81
+ },
82
+ {
83
+ "epoch": 0.06,
84
+ "eval_loss": 3.053595781326294,
85
+ "eval_runtime": 451.6413,
86
+ "eval_samples_per_second": 88.566,
87
+ "eval_steps_per_second": 11.071,
88
+ "step": 4000
89
+ },
90
+ {
91
+ "epoch": 0.07,
92
+ "learning_rate": 2.9810218978102192e-05,
93
+ "loss": 3.2901,
94
+ "step": 4500
95
+ },
96
+ {
97
+ "epoch": 0.08,
98
+ "learning_rate": 2.9786496350364963e-05,
99
+ "loss": 3.2764,
100
+ "step": 5000
101
+ },
102
+ {
103
+ "epoch": 0.08,
104
+ "eval_loss": 3.045032262802124,
105
+ "eval_runtime": 450.7805,
106
+ "eval_samples_per_second": 88.735,
107
+ "eval_steps_per_second": 11.092,
108
+ "step": 5000
109
+ },
110
+ {
111
+ "epoch": 0.09,
112
+ "learning_rate": 2.9762773722627736e-05,
113
+ "loss": 3.255,
114
+ "step": 5500
115
+ },
116
+ {
117
+ "epoch": 0.1,
118
+ "learning_rate": 2.9739051094890513e-05,
119
+ "loss": 3.2352,
120
+ "step": 6000
121
+ },
122
+ {
123
+ "epoch": 0.1,
124
+ "eval_loss": 3.018794059753418,
125
+ "eval_runtime": 451.4803,
126
+ "eval_samples_per_second": 88.597,
127
+ "eval_steps_per_second": 11.075,
128
+ "step": 6000
129
+ },
130
+ {
131
+ "epoch": 0.1,
132
+ "learning_rate": 2.9715328467153283e-05,
133
+ "loss": 3.1954,
134
+ "step": 6500
135
+ },
136
+ {
137
+ "epoch": 0.11,
138
+ "learning_rate": 2.969160583941606e-05,
139
+ "loss": 3.1939,
140
+ "step": 7000
141
+ },
142
+ {
143
+ "epoch": 0.11,
144
+ "eval_loss": 3.000720500946045,
145
+ "eval_runtime": 450.9264,
146
+ "eval_samples_per_second": 88.706,
147
+ "eval_steps_per_second": 11.088,
148
+ "step": 7000
149
+ },
150
+ {
151
+ "epoch": 0.12,
152
+ "learning_rate": 2.966788321167883e-05,
153
+ "loss": 3.1893,
154
+ "step": 7500
155
+ },
156
+ {
157
+ "epoch": 0.13,
158
+ "learning_rate": 2.9644160583941607e-05,
159
+ "loss": 3.1936,
160
+ "step": 8000
161
+ },
162
+ {
163
+ "epoch": 0.13,
164
+ "eval_loss": 2.988145589828491,
165
+ "eval_runtime": 451.5214,
166
+ "eval_samples_per_second": 88.589,
167
+ "eval_steps_per_second": 11.074,
168
+ "step": 8000
169
+ },
170
+ {
171
+ "epoch": 0.13,
172
+ "learning_rate": 2.962043795620438e-05,
173
+ "loss": 3.1604,
174
+ "step": 8500
175
+ },
176
+ {
177
+ "epoch": 0.14,
178
+ "learning_rate": 2.9596715328467154e-05,
179
+ "loss": 3.1765,
180
+ "step": 9000
181
+ },
182
+ {
183
+ "epoch": 0.14,
184
+ "eval_loss": 2.9744112491607666,
185
+ "eval_runtime": 449.7283,
186
+ "eval_samples_per_second": 88.943,
187
+ "eval_steps_per_second": 11.118,
188
+ "step": 9000
189
+ },
190
+ {
191
+ "epoch": 0.15,
192
+ "learning_rate": 2.9572992700729928e-05,
193
+ "loss": 3.1478,
194
+ "step": 9500
195
+ },
196
+ {
197
+ "epoch": 0.16,
198
+ "learning_rate": 2.95492700729927e-05,
199
+ "loss": 3.1532,
200
+ "step": 10000
201
+ },
202
+ {
203
+ "epoch": 0.16,
204
+ "eval_loss": 2.960232734680176,
205
+ "eval_runtime": 450.2869,
206
+ "eval_samples_per_second": 88.832,
207
+ "eval_steps_per_second": 11.104,
208
+ "step": 10000
209
+ },
210
+ {
211
+ "epoch": 0.17,
212
+ "learning_rate": 2.9525547445255475e-05,
213
+ "loss": 3.1187,
214
+ "step": 10500
215
+ },
216
+ {
217
+ "epoch": 0.17,
218
+ "learning_rate": 2.950182481751825e-05,
219
+ "loss": 3.1318,
220
+ "step": 11000
221
+ },
222
+ {
223
+ "epoch": 0.17,
224
+ "eval_loss": 2.956113338470459,
225
+ "eval_runtime": 450.2104,
226
+ "eval_samples_per_second": 88.847,
227
+ "eval_steps_per_second": 11.106,
228
+ "step": 11000
229
+ },
230
+ {
231
+ "epoch": 0.18,
232
+ "learning_rate": 2.9478102189781022e-05,
233
+ "loss": 3.1086,
234
+ "step": 11500
235
+ },
236
+ {
237
+ "epoch": 0.19,
238
+ "learning_rate": 2.9454379562043796e-05,
239
+ "loss": 3.0946,
240
+ "step": 12000
241
+ },
242
+ {
243
+ "epoch": 0.19,
244
+ "eval_loss": 2.946828842163086,
245
+ "eval_runtime": 450.0294,
246
+ "eval_samples_per_second": 88.883,
247
+ "eval_steps_per_second": 11.11,
248
+ "step": 12000
249
+ },
250
+ {
251
+ "epoch": 0.2,
252
+ "learning_rate": 2.9430656934306573e-05,
253
+ "loss": 3.114,
254
+ "step": 12500
255
+ },
256
+ {
257
+ "epoch": 0.21,
258
+ "learning_rate": 2.9406934306569343e-05,
259
+ "loss": 3.0903,
260
+ "step": 13000
261
+ },
262
+ {
263
+ "epoch": 0.21,
264
+ "eval_loss": 2.936713457107544,
265
+ "eval_runtime": 449.1132,
266
+ "eval_samples_per_second": 89.064,
267
+ "eval_steps_per_second": 11.133,
268
+ "step": 13000
269
+ },
270
+ {
271
+ "epoch": 0.21,
272
+ "learning_rate": 2.938321167883212e-05,
273
+ "loss": 3.102,
274
+ "step": 13500
275
+ },
276
+ {
277
+ "epoch": 0.22,
278
+ "learning_rate": 2.935948905109489e-05,
279
+ "loss": 3.0916,
280
+ "step": 14000
281
+ },
282
+ {
283
+ "epoch": 0.22,
284
+ "eval_loss": 2.9305248260498047,
285
+ "eval_runtime": 449.5477,
286
+ "eval_samples_per_second": 88.978,
287
+ "eval_steps_per_second": 11.122,
288
+ "step": 14000
289
+ },
290
+ {
291
+ "epoch": 0.23,
292
+ "learning_rate": 2.9335766423357667e-05,
293
+ "loss": 3.0578,
294
+ "step": 14500
295
+ },
296
+ {
297
+ "epoch": 0.24,
298
+ "learning_rate": 2.931204379562044e-05,
299
+ "loss": 3.0754,
300
+ "step": 15000
301
+ },
302
+ {
303
+ "epoch": 0.24,
304
+ "eval_loss": 2.92580246925354,
305
+ "eval_runtime": 449.9439,
306
+ "eval_samples_per_second": 88.9,
307
+ "eval_steps_per_second": 11.112,
308
+ "step": 15000
309
+ },
310
+ {
311
+ "epoch": 0.25,
312
+ "learning_rate": 2.928832116788321e-05,
313
+ "loss": 3.0673,
314
+ "step": 15500
315
+ },
316
+ {
317
+ "epoch": 0.25,
318
+ "learning_rate": 2.9264598540145987e-05,
319
+ "loss": 3.0606,
320
+ "step": 16000
321
+ },
322
+ {
323
+ "epoch": 0.25,
324
+ "eval_loss": 2.9198672771453857,
325
+ "eval_runtime": 450.1912,
326
+ "eval_samples_per_second": 88.851,
327
+ "eval_steps_per_second": 11.106,
328
+ "step": 16000
329
+ },
330
+ {
331
+ "epoch": 0.26,
332
+ "learning_rate": 2.9240875912408757e-05,
333
+ "loss": 3.0472,
334
+ "step": 16500
335
+ },
336
+ {
337
+ "epoch": 0.27,
338
+ "learning_rate": 2.9217153284671534e-05,
339
+ "loss": 3.0598,
340
+ "step": 17000
341
+ },
342
+ {
343
+ "epoch": 0.27,
344
+ "eval_loss": 2.91711163520813,
345
+ "eval_runtime": 449.4944,
346
+ "eval_samples_per_second": 88.989,
347
+ "eval_steps_per_second": 11.124,
348
+ "step": 17000
349
+ },
350
+ {
351
+ "epoch": 0.28,
352
+ "learning_rate": 2.9193430656934308e-05,
353
+ "loss": 3.0376,
354
+ "step": 17500
355
+ },
356
+ {
357
+ "epoch": 0.29,
358
+ "learning_rate": 2.916970802919708e-05,
359
+ "loss": 3.0369,
360
+ "step": 18000
361
+ },
362
+ {
363
+ "epoch": 0.29,
364
+ "eval_loss": 2.9090449810028076,
365
+ "eval_runtime": 450.1639,
366
+ "eval_samples_per_second": 88.857,
367
+ "eval_steps_per_second": 11.107,
368
+ "step": 18000
369
+ },
370
+ {
371
+ "epoch": 0.29,
372
+ "learning_rate": 2.9145985401459855e-05,
373
+ "loss": 3.0517,
374
+ "step": 18500
375
+ },
376
+ {
377
+ "epoch": 0.3,
378
+ "learning_rate": 2.912226277372263e-05,
379
+ "loss": 3.0312,
380
+ "step": 19000
381
+ },
382
+ {
383
+ "epoch": 0.3,
384
+ "eval_loss": 2.903899669647217,
385
+ "eval_runtime": 450.5358,
386
+ "eval_samples_per_second": 88.783,
387
+ "eval_steps_per_second": 11.098,
388
+ "step": 19000
389
+ },
390
+ {
391
+ "epoch": 0.31,
392
+ "learning_rate": 2.9098540145985402e-05,
393
+ "loss": 3.0135,
394
+ "step": 19500
395
+ },
396
+ {
397
+ "epoch": 0.32,
398
+ "learning_rate": 2.9074817518248176e-05,
399
+ "loss": 3.0304,
400
+ "step": 20000
401
+ },
402
+ {
403
+ "epoch": 0.32,
404
+ "eval_loss": 2.8915276527404785,
405
+ "eval_runtime": 449.8834,
406
+ "eval_samples_per_second": 88.912,
407
+ "eval_steps_per_second": 11.114,
408
+ "step": 20000
409
+ },
410
+ {
411
+ "epoch": 0.33,
412
+ "learning_rate": 2.905109489051095e-05,
413
+ "loss": 3.0157,
414
+ "step": 20500
415
+ },
416
+ {
417
+ "epoch": 0.33,
418
+ "learning_rate": 2.9027372262773723e-05,
419
+ "loss": 3.008,
420
+ "step": 21000
421
+ },
422
+ {
423
+ "epoch": 0.33,
424
+ "eval_loss": 2.89363431930542,
425
+ "eval_runtime": 450.0699,
426
+ "eval_samples_per_second": 88.875,
427
+ "eval_steps_per_second": 11.109,
428
+ "step": 21000
429
+ },
430
+ {
431
+ "epoch": 0.34,
432
+ "learning_rate": 2.9003649635036496e-05,
433
+ "loss": 3.0125,
434
+ "step": 21500
435
+ },
436
+ {
437
+ "epoch": 0.35,
438
+ "learning_rate": 2.897992700729927e-05,
439
+ "loss": 3.0373,
440
+ "step": 22000
441
+ },
442
+ {
443
+ "epoch": 0.35,
444
+ "eval_loss": 2.8869340419769287,
445
+ "eval_runtime": 450.8527,
446
+ "eval_samples_per_second": 88.721,
447
+ "eval_steps_per_second": 11.09,
448
+ "step": 22000
449
+ },
450
+ {
451
+ "epoch": 0.36,
452
+ "learning_rate": 2.8956204379562047e-05,
453
+ "loss": 3.0246,
454
+ "step": 22500
455
+ },
456
+ {
457
+ "epoch": 0.36,
458
+ "learning_rate": 2.8932481751824817e-05,
459
+ "loss": 3.0107,
460
+ "step": 23000
461
+ },
462
+ {
463
+ "epoch": 0.36,
464
+ "eval_loss": 2.882735252380371,
465
+ "eval_runtime": 451.0618,
466
+ "eval_samples_per_second": 88.68,
467
+ "eval_steps_per_second": 11.085,
468
+ "step": 23000
469
+ },
470
+ {
471
+ "epoch": 0.37,
472
+ "learning_rate": 2.8908759124087594e-05,
473
+ "loss": 3.0006,
474
+ "step": 23500
475
+ },
476
+ {
477
+ "epoch": 0.38,
478
+ "learning_rate": 2.8885036496350364e-05,
479
+ "loss": 2.9781,
480
+ "step": 24000
481
+ },
482
+ {
483
+ "epoch": 0.38,
484
+ "eval_loss": 2.8770592212677,
485
+ "eval_runtime": 450.672,
486
+ "eval_samples_per_second": 88.756,
487
+ "eval_steps_per_second": 11.095,
488
+ "step": 24000
489
+ },
490
+ {
491
+ "epoch": 0.39,
492
+ "learning_rate": 2.886131386861314e-05,
493
+ "loss": 2.9744,
494
+ "step": 24500
495
+ },
496
+ {
497
+ "epoch": 0.4,
498
+ "learning_rate": 2.8837591240875914e-05,
499
+ "loss": 3.0146,
500
+ "step": 25000
501
+ },
502
+ {
503
+ "epoch": 0.4,
504
+ "eval_loss": 2.8825135231018066,
505
+ "eval_runtime": 450.4517,
506
+ "eval_samples_per_second": 88.8,
507
+ "eval_steps_per_second": 11.1,
508
+ "step": 25000
509
+ },
510
+ {
511
+ "epoch": 0.4,
512
+ "learning_rate": 2.8813868613138685e-05,
513
+ "loss": 2.997,
514
+ "step": 25500
515
+ },
516
+ {
517
+ "epoch": 0.41,
518
+ "learning_rate": 2.879014598540146e-05,
519
+ "loss": 2.9856,
520
+ "step": 26000
521
+ },
522
+ {
523
+ "epoch": 0.41,
524
+ "eval_loss": 2.8855531215667725,
525
+ "eval_runtime": 450.7359,
526
+ "eval_samples_per_second": 88.744,
527
+ "eval_steps_per_second": 11.093,
528
+ "step": 26000
529
+ },
530
+ {
531
+ "epoch": 0.42,
532
+ "learning_rate": 2.8766423357664232e-05,
533
+ "loss": 2.986,
534
+ "step": 26500
535
+ },
536
+ {
537
+ "epoch": 0.43,
538
+ "learning_rate": 2.874270072992701e-05,
539
+ "loss": 3.0001,
540
+ "step": 27000
541
+ },
542
+ {
543
+ "epoch": 0.43,
544
+ "eval_loss": 2.886821985244751,
545
+ "eval_runtime": 450.0432,
546
+ "eval_samples_per_second": 88.88,
547
+ "eval_steps_per_second": 11.11,
548
+ "step": 27000
549
+ },
550
+ {
551
+ "epoch": 0.44,
552
+ "learning_rate": 2.8718978102189782e-05,
553
+ "loss": 2.9924,
554
+ "step": 27500
555
+ },
556
+ {
557
+ "epoch": 0.44,
558
+ "learning_rate": 2.8695255474452556e-05,
559
+ "loss": 2.9633,
560
+ "step": 28000
561
+ },
562
+ {
563
+ "epoch": 0.44,
564
+ "eval_loss": 2.8713860511779785,
565
+ "eval_runtime": 450.4908,
566
+ "eval_samples_per_second": 88.792,
567
+ "eval_steps_per_second": 11.099,
568
+ "step": 28000
569
+ },
570
+ {
571
+ "epoch": 0.45,
572
+ "learning_rate": 2.867153284671533e-05,
573
+ "loss": 2.9684,
574
+ "step": 28500
575
+ },
576
+ {
577
+ "epoch": 0.46,
578
+ "learning_rate": 2.8647810218978103e-05,
579
+ "loss": 2.9563,
580
+ "step": 29000
581
+ },
582
+ {
583
+ "epoch": 0.46,
584
+ "eval_loss": 2.8724424839019775,
585
+ "eval_runtime": 450.9726,
586
+ "eval_samples_per_second": 88.697,
587
+ "eval_steps_per_second": 11.087,
588
+ "step": 29000
589
+ },
590
+ {
591
+ "epoch": 0.47,
592
+ "learning_rate": 2.8624087591240876e-05,
593
+ "loss": 2.9573,
594
+ "step": 29500
595
+ },
596
+ {
597
+ "epoch": 0.48,
598
+ "learning_rate": 2.860036496350365e-05,
599
+ "loss": 2.9812,
600
+ "step": 30000
601
+ },
602
+ {
603
+ "epoch": 0.48,
604
+ "eval_loss": 2.86970591545105,
605
+ "eval_runtime": 450.3055,
606
+ "eval_samples_per_second": 88.829,
607
+ "eval_steps_per_second": 11.104,
608
+ "step": 30000
609
+ },
610
+ {
611
+ "epoch": 0.48,
612
+ "learning_rate": 2.8576642335766423e-05,
613
+ "loss": 2.9677,
614
+ "step": 30500
615
+ },
616
+ {
617
+ "epoch": 0.49,
618
+ "learning_rate": 2.8552919708029197e-05,
619
+ "loss": 2.9773,
620
+ "step": 31000
621
+ },
622
+ {
623
+ "epoch": 0.49,
624
+ "eval_loss": 2.8727774620056152,
625
+ "eval_runtime": 449.455,
626
+ "eval_samples_per_second": 88.997,
627
+ "eval_steps_per_second": 11.125,
628
+ "step": 31000
629
+ },
630
+ {
631
+ "epoch": 0.5,
632
+ "learning_rate": 2.8529197080291974e-05,
633
+ "loss": 2.971,
634
+ "step": 31500
635
+ },
636
+ {
637
+ "epoch": 0.51,
638
+ "learning_rate": 2.8505474452554744e-05,
639
+ "loss": 2.9743,
640
+ "step": 32000
641
+ },
642
+ {
643
+ "epoch": 0.51,
644
+ "eval_loss": 2.8665173053741455,
645
+ "eval_runtime": 449.7846,
646
+ "eval_samples_per_second": 88.931,
647
+ "eval_steps_per_second": 11.116,
648
+ "step": 32000
649
+ },
650
+ {
651
+ "epoch": 0.52,
652
+ "learning_rate": 2.848175182481752e-05,
653
+ "loss": 2.9585,
654
+ "step": 32500
655
+ },
656
+ {
657
+ "epoch": 0.52,
658
+ "learning_rate": 2.845802919708029e-05,
659
+ "loss": 2.9428,
660
+ "step": 33000
661
+ },
662
+ {
663
+ "epoch": 0.52,
664
+ "eval_loss": 2.8613767623901367,
665
+ "eval_runtime": 450.8331,
666
+ "eval_samples_per_second": 88.725,
667
+ "eval_steps_per_second": 11.091,
668
+ "step": 33000
669
+ },
670
+ {
671
+ "epoch": 0.53,
672
+ "learning_rate": 2.8434306569343068e-05,
673
+ "loss": 2.9509,
674
+ "step": 33500
675
+ },
676
+ {
677
+ "epoch": 0.54,
678
+ "learning_rate": 2.841058394160584e-05,
679
+ "loss": 2.9683,
680
+ "step": 34000
681
+ },
682
+ {
683
+ "epoch": 0.54,
684
+ "eval_loss": 2.86824369430542,
685
+ "eval_runtime": 450.4958,
686
+ "eval_samples_per_second": 88.791,
687
+ "eval_steps_per_second": 11.099,
688
+ "step": 34000
689
+ },
690
+ {
691
+ "epoch": 0.55,
692
+ "learning_rate": 2.8386861313868612e-05,
693
+ "loss": 2.9332,
694
+ "step": 34500
695
+ },
696
+ {
697
+ "epoch": 0.55,
698
+ "learning_rate": 2.836313868613139e-05,
699
+ "loss": 2.9567,
700
+ "step": 35000
701
+ },
702
+ {
703
+ "epoch": 0.55,
704
+ "eval_loss": 2.854598045349121,
705
+ "eval_runtime": 450.2268,
706
+ "eval_samples_per_second": 88.844,
707
+ "eval_steps_per_second": 11.106,
708
+ "step": 35000
709
+ },
710
+ {
711
+ "epoch": 0.56,
712
+ "learning_rate": 2.833941605839416e-05,
713
+ "loss": 2.9529,
714
+ "step": 35500
715
+ },
716
+ {
717
+ "epoch": 0.57,
718
+ "learning_rate": 2.8315693430656936e-05,
719
+ "loss": 2.9515,
720
+ "step": 36000
721
+ },
722
+ {
723
+ "epoch": 0.57,
724
+ "eval_loss": 2.8551025390625,
725
+ "eval_runtime": 450.4445,
726
+ "eval_samples_per_second": 88.801,
727
+ "eval_steps_per_second": 11.1,
728
+ "step": 36000
729
+ },
730
+ {
731
+ "epoch": 0.58,
732
+ "learning_rate": 2.829197080291971e-05,
733
+ "loss": 2.9273,
734
+ "step": 36500
735
+ },
736
+ {
737
+ "epoch": 0.59,
738
+ "learning_rate": 2.8268248175182483e-05,
739
+ "loss": 2.965,
740
+ "step": 37000
741
+ },
742
+ {
743
+ "epoch": 0.59,
744
+ "eval_loss": 2.8546838760375977,
745
+ "eval_runtime": 450.6163,
746
+ "eval_samples_per_second": 88.767,
747
+ "eval_steps_per_second": 11.096,
748
+ "step": 37000
749
+ },
750
+ {
751
+ "epoch": 0.59,
752
+ "learning_rate": 2.8244525547445256e-05,
753
+ "loss": 2.9441,
754
+ "step": 37500
755
+ },
756
+ {
757
+ "epoch": 0.6,
758
+ "learning_rate": 2.822080291970803e-05,
759
+ "loss": 2.9326,
760
+ "step": 38000
761
+ },
762
+ {
763
+ "epoch": 0.6,
764
+ "eval_loss": 2.848287582397461,
765
+ "eval_runtime": 450.6373,
766
+ "eval_samples_per_second": 88.763,
767
+ "eval_steps_per_second": 11.095,
768
+ "step": 38000
769
+ },
770
+ {
771
+ "epoch": 0.61,
772
+ "learning_rate": 2.8197080291970803e-05,
773
+ "loss": 2.9547,
774
+ "step": 38500
775
+ },
776
+ {
777
+ "epoch": 0.62,
778
+ "learning_rate": 2.817335766423358e-05,
779
+ "loss": 2.9096,
780
+ "step": 39000
781
+ },
782
+ {
783
+ "epoch": 0.62,
784
+ "eval_loss": 2.8502256870269775,
785
+ "eval_runtime": 450.3731,
786
+ "eval_samples_per_second": 88.815,
787
+ "eval_steps_per_second": 11.102,
788
+ "step": 39000
789
+ },
790
+ {
791
+ "epoch": 0.63,
792
+ "learning_rate": 2.814963503649635e-05,
793
+ "loss": 2.9222,
794
+ "step": 39500
795
+ },
796
+ {
797
+ "epoch": 0.63,
798
+ "learning_rate": 2.8125912408759124e-05,
799
+ "loss": 2.9132,
800
+ "step": 40000
801
+ },
802
+ {
803
+ "epoch": 0.63,
804
+ "eval_loss": 2.8453314304351807,
805
+ "eval_runtime": 450.4787,
806
+ "eval_samples_per_second": 88.794,
807
+ "eval_steps_per_second": 11.099,
808
+ "step": 40000
809
+ },
810
+ {
811
+ "epoch": 0.64,
812
+ "learning_rate": 2.8102189781021898e-05,
813
+ "loss": 2.9172,
814
+ "step": 40500
815
+ },
816
+ {
817
+ "epoch": 0.65,
818
+ "learning_rate": 2.807846715328467e-05,
819
+ "loss": 2.9373,
820
+ "step": 41000
821
+ },
822
+ {
823
+ "epoch": 0.65,
824
+ "eval_loss": 2.8487000465393066,
825
+ "eval_runtime": 450.8104,
826
+ "eval_samples_per_second": 88.729,
827
+ "eval_steps_per_second": 11.091,
828
+ "step": 41000
829
+ },
830
+ {
831
+ "epoch": 0.66,
832
+ "learning_rate": 2.8054744525547448e-05,
833
+ "loss": 2.9451,
834
+ "step": 41500
835
+ },
836
+ {
837
+ "epoch": 0.67,
838
+ "learning_rate": 2.8031021897810218e-05,
839
+ "loss": 2.9333,
840
+ "step": 42000
841
+ },
842
+ {
843
+ "epoch": 0.67,
844
+ "eval_loss": 2.8426833152770996,
845
+ "eval_runtime": 449.7638,
846
+ "eval_samples_per_second": 88.936,
847
+ "eval_steps_per_second": 11.117,
848
+ "step": 42000
849
+ },
850
+ {
851
+ "epoch": 0.67,
852
+ "learning_rate": 2.8007299270072995e-05,
853
+ "loss": 2.9263,
854
+ "step": 42500
855
+ },
856
+ {
857
+ "epoch": 0.68,
858
+ "learning_rate": 2.7983576642335765e-05,
859
+ "loss": 2.9242,
860
+ "step": 43000
861
+ },
862
+ {
863
+ "epoch": 0.68,
864
+ "eval_loss": 2.8440945148468018,
865
+ "eval_runtime": 450.8592,
866
+ "eval_samples_per_second": 88.719,
867
+ "eval_steps_per_second": 11.09,
868
+ "step": 43000
869
+ },
870
+ {
871
+ "epoch": 0.69,
872
+ "learning_rate": 2.795985401459854e-05,
873
+ "loss": 2.9226,
874
+ "step": 43500
875
+ },
876
+ {
877
+ "epoch": 0.7,
878
+ "learning_rate": 2.7936131386861316e-05,
879
+ "loss": 2.9058,
880
+ "step": 44000
881
+ },
882
+ {
883
+ "epoch": 0.7,
884
+ "eval_loss": 2.8383543491363525,
885
+ "eval_runtime": 450.5891,
886
+ "eval_samples_per_second": 88.773,
887
+ "eval_steps_per_second": 11.097,
888
+ "step": 44000
889
+ },
890
+ {
891
+ "epoch": 0.71,
892
+ "learning_rate": 2.7912408759124086e-05,
893
+ "loss": 2.9113,
894
+ "step": 44500
895
+ },
896
+ {
897
+ "epoch": 0.71,
898
+ "learning_rate": 2.7888686131386863e-05,
899
+ "loss": 2.9237,
900
+ "step": 45000
901
+ },
902
+ {
903
+ "epoch": 0.71,
904
+ "eval_loss": 2.8444628715515137,
905
+ "eval_runtime": 450.7048,
906
+ "eval_samples_per_second": 88.75,
907
+ "eval_steps_per_second": 11.094,
908
+ "step": 45000
909
+ },
910
+ {
911
+ "epoch": 0.72,
912
+ "learning_rate": 2.7864963503649633e-05,
913
+ "loss": 2.904,
914
+ "step": 45500
915
+ },
916
+ {
917
+ "epoch": 0.73,
918
+ "learning_rate": 2.784124087591241e-05,
919
+ "loss": 2.9101,
920
+ "step": 46000
921
+ },
922
+ {
923
+ "epoch": 0.73,
924
+ "eval_loss": 2.8378028869628906,
925
+ "eval_runtime": 450.6185,
926
+ "eval_samples_per_second": 88.767,
927
+ "eval_steps_per_second": 11.096,
928
+ "step": 46000
929
+ },
930
+ {
931
+ "epoch": 0.74,
932
+ "learning_rate": 2.7817518248175184e-05,
933
+ "loss": 2.913,
934
+ "step": 46500
935
+ },
936
+ {
937
+ "epoch": 0.75,
938
+ "learning_rate": 2.7793795620437957e-05,
939
+ "loss": 2.9053,
940
+ "step": 47000
941
+ },
942
+ {
943
+ "epoch": 0.75,
944
+ "eval_loss": 2.840611219406128,
945
+ "eval_runtime": 448.4181,
946
+ "eval_samples_per_second": 89.202,
947
+ "eval_steps_per_second": 11.15,
948
+ "step": 47000
949
+ },
950
+ {
951
+ "epoch": 0.75,
952
+ "learning_rate": 2.777007299270073e-05,
953
+ "loss": 2.8649,
954
+ "step": 47500
955
+ },
956
+ {
957
+ "epoch": 0.76,
958
+ "learning_rate": 2.7746350364963504e-05,
959
+ "loss": 2.9016,
960
+ "step": 48000
961
+ },
962
+ {
963
+ "epoch": 0.76,
964
+ "eval_loss": 2.832401752471924,
965
+ "eval_runtime": 448.5723,
966
+ "eval_samples_per_second": 89.172,
967
+ "eval_steps_per_second": 11.146,
968
+ "step": 48000
969
+ },
970
+ {
971
+ "epoch": 0.77,
972
+ "learning_rate": 2.7722627737226278e-05,
973
+ "loss": 2.9178,
974
+ "step": 48500
975
+ },
976
+ {
977
+ "epoch": 0.78,
978
+ "learning_rate": 2.769890510948905e-05,
979
+ "loss": 2.8928,
980
+ "step": 49000
981
+ },
982
+ {
983
+ "epoch": 0.78,
984
+ "eval_loss": 2.8320999145507812,
985
+ "eval_runtime": 449.0119,
986
+ "eval_samples_per_second": 89.084,
987
+ "eval_steps_per_second": 11.136,
988
+ "step": 49000
989
+ },
990
+ {
991
+ "epoch": 0.78,
992
+ "learning_rate": 2.7675182481751825e-05,
993
+ "loss": 2.903,
994
+ "step": 49500
995
+ },
996
+ {
997
+ "epoch": 0.79,
998
+ "learning_rate": 2.76514598540146e-05,
999
+ "loss": 2.8792,
1000
+ "step": 50000
1001
+ },
1002
+ {
1003
+ "epoch": 0.79,
1004
+ "eval_loss": 2.836050033569336,
1005
+ "eval_runtime": 447.2366,
1006
+ "eval_samples_per_second": 89.438,
1007
+ "eval_steps_per_second": 11.18,
1008
+ "step": 50000
1009
+ },
1010
+ {
1011
+ "epoch": 0.8,
1012
+ "learning_rate": 2.7627737226277375e-05,
1013
+ "loss": 2.8807,
1014
+ "step": 50500
1015
+ },
1016
+ {
1017
+ "epoch": 0.81,
1018
+ "learning_rate": 2.7604014598540145e-05,
1019
+ "loss": 2.896,
1020
+ "step": 51000
1021
+ },
1022
+ {
1023
+ "epoch": 0.81,
1024
+ "eval_loss": 2.8326449394226074,
1025
+ "eval_runtime": 447.8025,
1026
+ "eval_samples_per_second": 89.325,
1027
+ "eval_steps_per_second": 11.166,
1028
+ "step": 51000
1029
+ },
1030
+ {
1031
+ "epoch": 0.82,
1032
+ "learning_rate": 2.7580291970802922e-05,
1033
+ "loss": 2.8805,
1034
+ "step": 51500
1035
+ },
1036
+ {
1037
+ "epoch": 0.82,
1038
+ "learning_rate": 2.7556569343065692e-05,
1039
+ "loss": 2.8708,
1040
+ "step": 52000
1041
+ },
1042
+ {
1043
+ "epoch": 0.82,
1044
+ "eval_loss": 2.830998420715332,
1045
+ "eval_runtime": 441.655,
1046
+ "eval_samples_per_second": 90.568,
1047
+ "eval_steps_per_second": 11.321,
1048
+ "step": 52000
1049
+ },
1050
+ {
1051
+ "epoch": 0.83,
1052
+ "learning_rate": 2.753284671532847e-05,
1053
+ "loss": 2.8656,
1054
+ "step": 52500
1055
+ },
1056
+ {
1057
+ "epoch": 0.84,
1058
+ "learning_rate": 2.7509124087591243e-05,
1059
+ "loss": 2.8882,
1060
+ "step": 53000
1061
+ },
1062
+ {
1063
+ "epoch": 0.84,
1064
+ "eval_loss": 2.8259706497192383,
1065
+ "eval_runtime": 442.0896,
1066
+ "eval_samples_per_second": 90.479,
1067
+ "eval_steps_per_second": 11.31,
1068
+ "step": 53000
1069
+ },
1070
+ {
1071
+ "epoch": 0.85,
1072
+ "learning_rate": 2.7485401459854017e-05,
1073
+ "loss": 2.8818,
1074
+ "step": 53500
1075
+ },
1076
+ {
1077
+ "epoch": 0.86,
1078
+ "learning_rate": 2.746167883211679e-05,
1079
+ "loss": 2.8682,
1080
+ "step": 54000
1081
+ },
1082
+ {
1083
+ "epoch": 0.86,
1084
+ "eval_loss": 2.8257410526275635,
1085
+ "eval_runtime": 441.6514,
1086
+ "eval_samples_per_second": 90.569,
1087
+ "eval_steps_per_second": 11.321,
1088
+ "step": 54000
1089
+ },
1090
+ {
1091
+ "epoch": 0.86,
1092
+ "learning_rate": 2.743795620437956e-05,
1093
+ "loss": 2.8765,
1094
+ "step": 54500
1095
+ },
1096
+ {
1097
+ "epoch": 0.87,
1098
+ "learning_rate": 2.7414233576642337e-05,
1099
+ "loss": 2.8843,
1100
+ "step": 55000
1101
+ },
1102
+ {
1103
+ "epoch": 0.87,
1104
+ "eval_loss": 2.8210554122924805,
1105
+ "eval_runtime": 441.9171,
1106
+ "eval_samples_per_second": 90.515,
1107
+ "eval_steps_per_second": 11.314,
1108
+ "step": 55000
1109
+ },
1110
+ {
1111
+ "epoch": 0.88,
1112
+ "learning_rate": 2.739051094890511e-05,
1113
+ "loss": 2.8785,
1114
+ "step": 55500
1115
+ },
1116
+ {
1117
+ "epoch": 0.89,
1118
+ "learning_rate": 2.7366788321167884e-05,
1119
+ "loss": 2.8631,
1120
+ "step": 56000
1121
+ },
1122
+ {
1123
+ "epoch": 0.89,
1124
+ "eval_loss": 2.825152635574341,
1125
+ "eval_runtime": 442.1075,
1126
+ "eval_samples_per_second": 90.476,
1127
+ "eval_steps_per_second": 11.309,
1128
+ "step": 56000
1129
+ },
1130
+ {
1131
+ "epoch": 0.9,
1132
+ "learning_rate": 2.7343065693430658e-05,
1133
+ "loss": 2.8557,
1134
+ "step": 56500
1135
+ },
1136
+ {
1137
+ "epoch": 0.9,
1138
+ "learning_rate": 2.731934306569343e-05,
1139
+ "loss": 2.8643,
1140
+ "step": 57000
1141
+ },
1142
+ {
1143
+ "epoch": 0.9,
1144
+ "eval_loss": 2.8247392177581787,
1145
+ "eval_runtime": 441.9526,
1146
+ "eval_samples_per_second": 90.507,
1147
+ "eval_steps_per_second": 11.313,
1148
+ "step": 57000
1149
+ },
1150
+ {
1151
+ "epoch": 0.91,
1152
+ "learning_rate": 2.7295620437956205e-05,
1153
+ "loss": 2.8976,
1154
+ "step": 57500
1155
+ },
1156
+ {
1157
+ "epoch": 0.92,
1158
+ "learning_rate": 2.727189781021898e-05,
1159
+ "loss": 2.8658,
1160
+ "step": 58000
1161
+ },
1162
+ {
1163
+ "epoch": 0.92,
1164
+ "eval_loss": 2.8236825466156006,
1165
+ "eval_runtime": 441.9598,
1166
+ "eval_samples_per_second": 90.506,
1167
+ "eval_steps_per_second": 11.313,
1168
+ "step": 58000
1169
+ },
1170
+ {
1171
+ "epoch": 0.93,
1172
+ "learning_rate": 2.7248175182481752e-05,
1173
+ "loss": 2.8608,
1174
+ "step": 58500
1175
+ },
1176
+ {
1177
+ "epoch": 0.94,
1178
+ "learning_rate": 2.7224452554744525e-05,
1179
+ "loss": 2.875,
1180
+ "step": 59000
1181
+ },
1182
+ {
1183
+ "epoch": 0.94,
1184
+ "eval_loss": 2.820819139480591,
1185
+ "eval_runtime": 442.0566,
1186
+ "eval_samples_per_second": 90.486,
1187
+ "eval_steps_per_second": 11.311,
1188
+ "step": 59000
1189
+ },
1190
+ {
1191
+ "epoch": 0.94,
1192
+ "learning_rate": 2.72007299270073e-05,
1193
+ "loss": 2.8704,
1194
+ "step": 59500
1195
+ },
1196
+ {
1197
+ "epoch": 0.95,
1198
+ "learning_rate": 2.7177007299270073e-05,
1199
+ "loss": 2.8531,
1200
+ "step": 60000
1201
+ },
1202
+ {
1203
+ "epoch": 0.95,
1204
+ "eval_loss": 2.821174144744873,
1205
+ "eval_runtime": 442.2056,
1206
+ "eval_samples_per_second": 90.456,
1207
+ "eval_steps_per_second": 11.307,
1208
+ "step": 60000
1209
+ },
1210
+ {
1211
+ "epoch": 0.96,
1212
+ "learning_rate": 2.715328467153285e-05,
1213
+ "loss": 2.8748,
1214
+ "step": 60500
1215
+ },
1216
+ {
1217
+ "epoch": 0.97,
1218
+ "learning_rate": 2.712956204379562e-05,
1219
+ "loss": 2.8654,
1220
+ "step": 61000
1221
+ },
1222
+ {
1223
+ "epoch": 0.97,
1224
+ "eval_loss": 2.825101613998413,
1225
+ "eval_runtime": 442.0952,
1226
+ "eval_samples_per_second": 90.478,
1227
+ "eval_steps_per_second": 11.31,
1228
+ "step": 61000
1229
+ },
1230
+ {
1231
+ "epoch": 0.98,
1232
+ "learning_rate": 2.7105839416058397e-05,
1233
+ "loss": 2.8515,
1234
+ "step": 61500
1235
+ },
1236
+ {
1237
+ "epoch": 0.98,
1238
+ "learning_rate": 2.7082116788321167e-05,
1239
+ "loss": 2.8432,
1240
+ "step": 62000
1241
+ },
1242
+ {
1243
+ "epoch": 0.98,
1244
+ "eval_loss": 2.819878101348877,
1245
+ "eval_runtime": 441.9364,
1246
+ "eval_samples_per_second": 90.511,
1247
+ "eval_steps_per_second": 11.314,
1248
+ "step": 62000
1249
+ },
1250
+ {
1251
+ "epoch": 0.99,
1252
+ "learning_rate": 2.7058394160583944e-05,
1253
+ "loss": 2.8591,
1254
+ "step": 62500
1255
+ },
1256
+ {
1257
+ "epoch": 1.0,
1258
+ "learning_rate": 2.7034671532846717e-05,
1259
+ "loss": 2.8871,
1260
+ "step": 63000
1261
+ },
1262
+ {
1263
+ "epoch": 1.0,
1264
+ "eval_loss": 2.8195338249206543,
1265
+ "eval_runtime": 442.0595,
1266
+ "eval_samples_per_second": 90.486,
1267
+ "eval_steps_per_second": 11.311,
1268
+ "step": 63000
1269
+ },
1270
+ {
1271
+ "epoch": 1.01,
1272
+ "learning_rate": 2.7010948905109487e-05,
1273
+ "loss": 2.7957,
1274
+ "step": 63500
1275
+ },
1276
+ {
1277
+ "epoch": 1.01,
1278
+ "learning_rate": 2.6987226277372264e-05,
1279
+ "loss": 2.7854,
1280
+ "step": 64000
1281
+ },
1282
+ {
1283
+ "epoch": 1.01,
1284
+ "eval_loss": 2.817440986633301,
1285
+ "eval_runtime": 442.0252,
1286
+ "eval_samples_per_second": 90.493,
1287
+ "eval_steps_per_second": 11.312,
1288
+ "step": 64000
1289
+ },
1290
+ {
1291
+ "epoch": 1.02,
1292
+ "learning_rate": 2.6963503649635034e-05,
1293
+ "loss": 2.7874,
1294
+ "step": 64500
1295
+ },
1296
+ {
1297
+ "epoch": 1.03,
1298
+ "learning_rate": 2.693978102189781e-05,
1299
+ "loss": 2.7703,
1300
+ "step": 65000
1301
+ },
1302
+ {
1303
+ "epoch": 1.03,
1304
+ "eval_loss": 2.8208272457122803,
1305
+ "eval_runtime": 442.1489,
1306
+ "eval_samples_per_second": 90.467,
1307
+ "eval_steps_per_second": 11.308,
1308
+ "step": 65000
1309
+ },
1310
+ {
1311
+ "epoch": 1.04,
1312
+ "learning_rate": 2.6916058394160585e-05,
1313
+ "loss": 2.7773,
1314
+ "step": 65500
1315
+ },
1316
+ {
1317
+ "epoch": 1.05,
1318
+ "learning_rate": 2.689233576642336e-05,
1319
+ "loss": 2.7764,
1320
+ "step": 66000
1321
+ },
1322
+ {
1323
+ "epoch": 1.05,
1324
+ "eval_loss": 2.8173325061798096,
1325
+ "eval_runtime": 443.1184,
1326
+ "eval_samples_per_second": 90.269,
1327
+ "eval_steps_per_second": 11.284,
1328
+ "step": 66000
1329
+ },
1330
+ {
1331
+ "epoch": 1.05,
1332
+ "learning_rate": 2.6868613138686132e-05,
1333
+ "loss": 2.7838,
1334
+ "step": 66500
1335
+ },
1336
+ {
1337
+ "epoch": 1.06,
1338
+ "learning_rate": 2.6844890510948906e-05,
1339
+ "loss": 2.7734,
1340
+ "step": 67000
1341
+ },
1342
+ {
1343
+ "epoch": 1.06,
1344
+ "eval_loss": 2.812627077102661,
1345
+ "eval_runtime": 443.0624,
1346
+ "eval_samples_per_second": 90.281,
1347
+ "eval_steps_per_second": 11.285,
1348
+ "step": 67000
1349
+ },
1350
+ {
1351
+ "epoch": 1.07,
1352
+ "learning_rate": 2.682116788321168e-05,
1353
+ "loss": 2.7541,
1354
+ "step": 67500
1355
+ },
1356
+ {
1357
+ "epoch": 1.08,
1358
+ "learning_rate": 2.6797445255474456e-05,
1359
+ "loss": 2.7637,
1360
+ "step": 68000
1361
+ },
1362
+ {
1363
+ "epoch": 1.08,
1364
+ "eval_loss": 2.817030668258667,
1365
+ "eval_runtime": 443.2279,
1366
+ "eval_samples_per_second": 90.247,
1367
+ "eval_steps_per_second": 11.281,
1368
+ "step": 68000
1369
+ },
1370
+ {
1371
+ "epoch": 1.09,
1372
+ "learning_rate": 2.6773722627737226e-05,
1373
+ "loss": 2.7809,
1374
+ "step": 68500
1375
+ },
1376
+ {
1377
+ "epoch": 1.09,
1378
+ "learning_rate": 2.675e-05,
1379
+ "loss": 2.775,
1380
+ "step": 69000
1381
+ },
1382
+ {
1383
+ "epoch": 1.09,
1384
+ "eval_loss": 2.819810628890991,
1385
+ "eval_runtime": 442.8797,
1386
+ "eval_samples_per_second": 90.318,
1387
+ "eval_steps_per_second": 11.29,
1388
+ "step": 69000
1389
+ },
1390
+ {
1391
+ "epoch": 1.1,
1392
+ "learning_rate": 2.6726277372262777e-05,
1393
+ "loss": 2.786,
1394
+ "step": 69500
1395
+ },
1396
+ {
1397
+ "epoch": 1.11,
1398
+ "learning_rate": 2.6702554744525547e-05,
1399
+ "loss": 2.747,
1400
+ "step": 70000
1401
+ },
1402
+ {
1403
+ "epoch": 1.11,
1404
+ "eval_loss": 2.820467233657837,
1405
+ "eval_runtime": 443.0381,
1406
+ "eval_samples_per_second": 90.286,
1407
+ "eval_steps_per_second": 11.286,
1408
+ "step": 70000
1409
+ },
1410
+ {
1411
+ "epoch": 1.12,
1412
+ "learning_rate": 2.6678832116788324e-05,
1413
+ "loss": 2.801,
1414
+ "step": 70500
1415
+ },
1416
+ {
1417
+ "epoch": 1.13,
1418
+ "learning_rate": 2.6655109489051094e-05,
1419
+ "loss": 2.7589,
1420
+ "step": 71000
1421
+ },
1422
+ {
1423
+ "epoch": 1.13,
1424
+ "eval_loss": 2.8193023204803467,
1425
+ "eval_runtime": 443.2053,
1426
+ "eval_samples_per_second": 90.252,
1427
+ "eval_steps_per_second": 11.281,
1428
+ "step": 71000
1429
+ },
1430
+ {
1431
+ "epoch": 1.13,
1432
+ "learning_rate": 2.663138686131387e-05,
1433
+ "loss": 2.7801,
1434
+ "step": 71500
1435
+ },
1436
+ {
1437
+ "epoch": 1.14,
1438
+ "learning_rate": 2.6607664233576644e-05,
1439
+ "loss": 2.7521,
1440
+ "step": 72000
1441
+ },
1442
+ {
1443
+ "epoch": 1.14,
1444
+ "eval_loss": 2.813857078552246,
1445
+ "eval_runtime": 443.2947,
1446
+ "eval_samples_per_second": 90.233,
1447
+ "eval_steps_per_second": 11.279,
1448
+ "step": 72000
1449
+ },
1450
+ {
1451
+ "epoch": 1.15,
1452
+ "learning_rate": 2.6583941605839414e-05,
1453
+ "loss": 2.7876,
1454
+ "step": 72500
1455
+ },
1456
+ {
1457
+ "epoch": 1.16,
1458
+ "learning_rate": 2.656021897810219e-05,
1459
+ "loss": 2.772,
1460
+ "step": 73000
1461
+ },
1462
+ {
1463
+ "epoch": 1.16,
1464
+ "eval_loss": 2.814068555831909,
1465
+ "eval_runtime": 443.3415,
1466
+ "eval_samples_per_second": 90.224,
1467
+ "eval_steps_per_second": 11.278,
1468
+ "step": 73000
1469
+ },
1470
+ {
1471
+ "epoch": 1.17,
1472
+ "learning_rate": 2.653649635036496e-05,
1473
+ "loss": 2.7618,
1474
+ "step": 73500
1475
+ },
1476
+ {
1477
+ "epoch": 1.17,
1478
+ "learning_rate": 2.651277372262774e-05,
1479
+ "loss": 2.785,
1480
+ "step": 74000
1481
+ },
1482
+ {
1483
+ "epoch": 1.17,
1484
+ "eval_loss": 2.8143815994262695,
1485
+ "eval_runtime": 443.2942,
1486
+ "eval_samples_per_second": 90.234,
1487
+ "eval_steps_per_second": 11.279,
1488
+ "step": 74000
1489
+ },
1490
+ {
1491
+ "epoch": 1.18,
1492
+ "learning_rate": 2.6489051094890512e-05,
1493
+ "loss": 2.7878,
1494
+ "step": 74500
1495
+ },
1496
+ {
1497
+ "epoch": 1.19,
1498
+ "learning_rate": 2.6465328467153286e-05,
1499
+ "loss": 2.743,
1500
+ "step": 75000
1501
+ },
1502
+ {
1503
+ "epoch": 1.19,
1504
+ "eval_loss": 2.8167881965637207,
1505
+ "eval_runtime": 443.0056,
1506
+ "eval_samples_per_second": 90.292,
1507
+ "eval_steps_per_second": 11.287,
1508
+ "step": 75000
1509
+ },
1510
+ {
1511
+ "epoch": 1.2,
1512
+ "learning_rate": 2.644160583941606e-05,
1513
+ "loss": 2.7564,
1514
+ "step": 75500
1515
+ },
1516
+ {
1517
+ "epoch": 1.21,
1518
+ "learning_rate": 2.6417883211678833e-05,
1519
+ "loss": 2.7694,
1520
+ "step": 76000
1521
+ },
1522
+ {
1523
+ "epoch": 1.21,
1524
+ "eval_loss": 2.8128414154052734,
1525
+ "eval_runtime": 443.1543,
1526
+ "eval_samples_per_second": 90.262,
1527
+ "eval_steps_per_second": 11.283,
1528
+ "step": 76000
1529
+ },
1530
+ {
1531
+ "epoch": 1.21,
1532
+ "learning_rate": 2.6394160583941606e-05,
1533
+ "loss": 2.7583,
1534
+ "step": 76500
1535
+ },
1536
+ {
1537
+ "epoch": 1.22,
1538
+ "learning_rate": 2.6370437956204383e-05,
1539
+ "loss": 2.7769,
1540
+ "step": 77000
1541
+ },
1542
+ {
1543
+ "epoch": 1.22,
1544
+ "eval_loss": 2.8131983280181885,
1545
+ "eval_runtime": 443.0764,
1546
+ "eval_samples_per_second": 90.278,
1547
+ "eval_steps_per_second": 11.285,
1548
+ "step": 77000
1549
+ },
1550
+ {
1551
+ "epoch": 1.23,
1552
+ "learning_rate": 2.6346715328467153e-05,
1553
+ "loss": 2.7623,
1554
+ "step": 77500
1555
+ },
1556
+ {
1557
+ "epoch": 1.24,
1558
+ "learning_rate": 2.6322992700729927e-05,
1559
+ "loss": 2.7523,
1560
+ "step": 78000
1561
+ },
1562
+ {
1563
+ "epoch": 1.24,
1564
+ "eval_loss": 2.813045024871826,
1565
+ "eval_runtime": 443.0803,
1566
+ "eval_samples_per_second": 90.277,
1567
+ "eval_steps_per_second": 11.285,
1568
+ "step": 78000
1569
+ },
1570
+ {
1571
+ "epoch": 1.24,
1572
+ "learning_rate": 2.62992700729927e-05,
1573
+ "loss": 2.7569,
1574
+ "step": 78500
1575
+ },
1576
+ {
1577
+ "epoch": 1.25,
1578
+ "learning_rate": 2.6275547445255474e-05,
1579
+ "loss": 2.7572,
1580
+ "step": 79000
1581
+ },
1582
+ {
1583
+ "epoch": 1.25,
1584
+ "eval_loss": 2.8214099407196045,
1585
+ "eval_runtime": 442.9545,
1586
+ "eval_samples_per_second": 90.303,
1587
+ "eval_steps_per_second": 11.288,
1588
+ "step": 79000
1589
+ },
1590
+ {
1591
+ "epoch": 1.26,
1592
+ "learning_rate": 2.625182481751825e-05,
1593
+ "loss": 2.7564,
1594
+ "step": 79500
1595
+ },
1596
+ {
1597
+ "epoch": 1.27,
1598
+ "learning_rate": 2.622810218978102e-05,
1599
+ "loss": 2.7573,
1600
+ "step": 80000
1601
+ },
1602
+ {
1603
+ "epoch": 1.27,
1604
+ "eval_loss": 2.811310052871704,
1605
+ "eval_runtime": 442.9337,
1606
+ "eval_samples_per_second": 90.307,
1607
+ "eval_steps_per_second": 11.288,
1608
+ "step": 80000
1609
+ },
1610
+ {
1611
+ "epoch": 1.28,
1612
+ "learning_rate": 2.6204379562043798e-05,
1613
+ "loss": 2.7635,
1614
+ "step": 80500
1615
+ },
1616
+ {
1617
+ "epoch": 1.28,
1618
+ "learning_rate": 2.6180656934306568e-05,
1619
+ "loss": 2.7514,
1620
+ "step": 81000
1621
+ },
1622
+ {
1623
+ "epoch": 1.28,
1624
+ "eval_loss": 2.8111774921417236,
1625
+ "eval_runtime": 442.9468,
1626
+ "eval_samples_per_second": 90.304,
1627
+ "eval_steps_per_second": 11.288,
1628
+ "step": 81000
1629
+ },
1630
+ {
1631
+ "epoch": 1.29,
1632
+ "learning_rate": 2.615693430656934e-05,
1633
+ "loss": 2.7534,
1634
+ "step": 81500
1635
+ },
1636
+ {
1637
+ "epoch": 1.3,
1638
+ "learning_rate": 2.613321167883212e-05,
1639
+ "loss": 2.7676,
1640
+ "step": 82000
1641
+ },
1642
+ {
1643
+ "epoch": 1.3,
1644
+ "eval_loss": 2.8070504665374756,
1645
+ "eval_runtime": 442.7918,
1646
+ "eval_samples_per_second": 90.336,
1647
+ "eval_steps_per_second": 11.292,
1648
+ "step": 82000
1649
+ },
1650
+ {
1651
+ "epoch": 1.31,
1652
+ "learning_rate": 2.6109489051094892e-05,
1653
+ "loss": 2.7212,
1654
+ "step": 82500
1655
+ },
1656
+ {
1657
+ "epoch": 1.32,
1658
+ "learning_rate": 2.6085766423357666e-05,
1659
+ "loss": 2.7044,
1660
+ "step": 83000
1661
+ },
1662
+ {
1663
+ "epoch": 1.32,
1664
+ "eval_loss": 2.8113818168640137,
1665
+ "eval_runtime": 440.1567,
1666
+ "eval_samples_per_second": 90.877,
1667
+ "eval_steps_per_second": 11.36,
1668
+ "step": 83000
1669
+ },
1670
+ {
1671
+ "epoch": 1.32,
1672
+ "learning_rate": 2.6062043795620436e-05,
1673
+ "loss": 2.742,
1674
+ "step": 83500
1675
+ },
1676
+ {
1677
+ "epoch": 1.33,
1678
+ "learning_rate": 2.6038321167883213e-05,
1679
+ "loss": 2.7205,
1680
+ "step": 84000
1681
+ },
1682
+ {
1683
+ "epoch": 1.33,
1684
+ "eval_loss": 2.810499906539917,
1685
+ "eval_runtime": 440.19,
1686
+ "eval_samples_per_second": 90.87,
1687
+ "eval_steps_per_second": 11.359,
1688
+ "step": 84000
1689
+ },
1690
+ {
1691
+ "epoch": 1.34,
1692
+ "learning_rate": 2.6014598540145986e-05,
1693
+ "loss": 2.7065,
1694
+ "step": 84500
1695
+ },
1696
+ {
1697
+ "epoch": 1.35,
1698
+ "learning_rate": 2.599087591240876e-05,
1699
+ "loss": 2.7168,
1700
+ "step": 85000
1701
+ },
1702
+ {
1703
+ "epoch": 1.35,
1704
+ "eval_loss": 2.813863754272461,
1705
+ "eval_runtime": 440.1828,
1706
+ "eval_samples_per_second": 90.871,
1707
+ "eval_steps_per_second": 11.359,
1708
+ "step": 85000
1709
+ },
1710
+ {
1711
+ "epoch": 1.36,
1712
+ "learning_rate": 2.5967153284671533e-05,
1713
+ "loss": 2.7367,
1714
+ "step": 85500
1715
+ },
1716
+ {
1717
+ "epoch": 1.36,
1718
+ "learning_rate": 2.5943430656934307e-05,
1719
+ "loss": 2.7337,
1720
+ "step": 86000
1721
+ },
1722
+ {
1723
+ "epoch": 1.36,
1724
+ "eval_loss": 2.80753231048584,
1725
+ "eval_runtime": 439.9369,
1726
+ "eval_samples_per_second": 90.922,
1727
+ "eval_steps_per_second": 11.365,
1728
+ "step": 86000
1729
+ },
1730
+ {
1731
+ "epoch": 1.37,
1732
+ "learning_rate": 2.591970802919708e-05,
1733
+ "loss": 2.718,
1734
+ "step": 86500
1735
+ },
1736
+ {
1737
+ "epoch": 1.38,
1738
+ "learning_rate": 2.5895985401459854e-05,
1739
+ "loss": 2.709,
1740
+ "step": 87000
1741
+ },
1742
+ {
1743
+ "epoch": 1.38,
1744
+ "eval_loss": 2.8110671043395996,
1745
+ "eval_runtime": 439.984,
1746
+ "eval_samples_per_second": 90.912,
1747
+ "eval_steps_per_second": 11.364,
1748
+ "step": 87000
1749
+ },
1750
+ {
1751
+ "epoch": 1.39,
1752
+ "learning_rate": 2.5872262773722628e-05,
1753
+ "loss": 2.7045,
1754
+ "step": 87500
1755
+ },
1756
+ {
1757
+ "epoch": 1.4,
1758
+ "learning_rate": 2.58485401459854e-05,
1759
+ "loss": 2.7449,
1760
+ "step": 88000
1761
+ },
1762
+ {
1763
+ "epoch": 1.4,
1764
+ "eval_loss": 2.806777238845825,
1765
+ "eval_runtime": 439.8672,
1766
+ "eval_samples_per_second": 90.937,
1767
+ "eval_steps_per_second": 11.367,
1768
+ "step": 88000
1769
+ },
1770
+ {
1771
+ "epoch": 1.4,
1772
+ "learning_rate": 2.5824817518248178e-05,
1773
+ "loss": 2.704,
1774
+ "step": 88500
1775
+ },
1776
+ {
1777
+ "epoch": 1.41,
1778
+ "learning_rate": 2.5801094890510948e-05,
1779
+ "loss": 2.7175,
1780
+ "step": 89000
1781
+ },
1782
+ {
1783
+ "epoch": 1.41,
1784
+ "eval_loss": 2.8058323860168457,
1785
+ "eval_runtime": 439.8993,
1786
+ "eval_samples_per_second": 90.93,
1787
+ "eval_steps_per_second": 11.366,
1788
+ "step": 89000
1789
+ },
1790
+ {
1791
+ "epoch": 1.42,
1792
+ "learning_rate": 2.5777372262773725e-05,
1793
+ "loss": 2.7292,
1794
+ "step": 89500
1795
+ },
1796
+ {
1797
+ "epoch": 1.43,
1798
+ "learning_rate": 2.5753649635036495e-05,
1799
+ "loss": 2.7096,
1800
+ "step": 90000
1801
+ },
1802
+ {
1803
+ "epoch": 1.43,
1804
+ "eval_loss": 2.808027744293213,
1805
+ "eval_runtime": 439.7855,
1806
+ "eval_samples_per_second": 90.953,
1807
+ "eval_steps_per_second": 11.369,
1808
+ "step": 90000
1809
+ },
1810
+ {
1811
+ "epoch": 1.43,
1812
+ "learning_rate": 2.572992700729927e-05,
1813
+ "loss": 2.7125,
1814
+ "step": 90500
1815
+ },
1816
+ {
1817
+ "epoch": 1.44,
1818
+ "learning_rate": 2.5706204379562046e-05,
1819
+ "loss": 2.7272,
1820
+ "step": 91000
1821
+ },
1822
+ {
1823
+ "epoch": 1.44,
1824
+ "eval_loss": 2.8089358806610107,
1825
+ "eval_runtime": 439.8804,
1826
+ "eval_samples_per_second": 90.934,
1827
+ "eval_steps_per_second": 11.367,
1828
+ "step": 91000
1829
+ },
1830
+ {
1831
+ "epoch": 1.45,
1832
+ "learning_rate": 2.568248175182482e-05,
1833
+ "loss": 2.719,
1834
+ "step": 91500
1835
+ },
1836
+ {
1837
+ "epoch": 1.46,
1838
+ "learning_rate": 2.5658759124087593e-05,
1839
+ "loss": 2.7092,
1840
+ "step": 92000
1841
+ },
1842
+ {
1843
+ "epoch": 1.46,
1844
+ "eval_loss": 2.806529998779297,
1845
+ "eval_runtime": 439.7422,
1846
+ "eval_samples_per_second": 90.962,
1847
+ "eval_steps_per_second": 11.37,
1848
+ "step": 92000
1849
+ },
1850
+ {
1851
+ "epoch": 1.47,
1852
+ "learning_rate": 2.5635036496350363e-05,
1853
+ "loss": 2.7121,
1854
+ "step": 92500
1855
+ },
1856
+ {
1857
+ "epoch": 1.47,
1858
+ "learning_rate": 2.561131386861314e-05,
1859
+ "loss": 2.6846,
1860
+ "step": 93000
1861
+ },
1862
+ {
1863
+ "epoch": 1.47,
1864
+ "eval_loss": 2.804901123046875,
1865
+ "eval_runtime": 440.0389,
1866
+ "eval_samples_per_second": 90.901,
1867
+ "eval_steps_per_second": 11.363,
1868
+ "step": 93000
1869
+ },
1870
+ {
1871
+ "epoch": 1.48,
1872
+ "learning_rate": 2.5587591240875913e-05,
1873
+ "loss": 2.7301,
1874
+ "step": 93500
1875
+ },
1876
+ {
1877
+ "epoch": 1.49,
1878
+ "learning_rate": 2.5563868613138687e-05,
1879
+ "loss": 2.6976,
1880
+ "step": 94000
1881
+ },
1882
+ {
1883
+ "epoch": 1.49,
1884
+ "eval_loss": 2.8061363697052,
1885
+ "eval_runtime": 439.8304,
1886
+ "eval_samples_per_second": 90.944,
1887
+ "eval_steps_per_second": 11.368,
1888
+ "step": 94000
1889
+ },
1890
+ {
1891
+ "epoch": 1.5,
1892
+ "learning_rate": 2.554014598540146e-05,
1893
+ "loss": 2.7008,
1894
+ "step": 94500
1895
+ },
1896
+ {
1897
+ "epoch": 1.51,
1898
+ "learning_rate": 2.5516423357664234e-05,
1899
+ "loss": 2.7057,
1900
+ "step": 95000
1901
+ },
1902
+ {
1903
+ "epoch": 1.51,
1904
+ "eval_loss": 2.815894603729248,
1905
+ "eval_runtime": 439.7552,
1906
+ "eval_samples_per_second": 90.96,
1907
+ "eval_steps_per_second": 11.37,
1908
+ "step": 95000
1909
+ },
1910
+ {
1911
+ "epoch": 1.51,
1912
+ "learning_rate": 2.5492700729927008e-05,
1913
+ "loss": 2.724,
1914
+ "step": 95500
1915
+ },
1916
+ {
1917
+ "epoch": 1.52,
1918
+ "learning_rate": 2.546897810218978e-05,
1919
+ "loss": 2.6922,
1920
+ "step": 96000
1921
+ },
1922
+ {
1923
+ "epoch": 1.52,
1924
+ "eval_loss": 2.8022561073303223,
1925
+ "eval_runtime": 439.8096,
1926
+ "eval_samples_per_second": 90.948,
1927
+ "eval_steps_per_second": 11.369,
1928
+ "step": 96000
1929
+ },
1930
+ {
1931
+ "epoch": 1.53,
1932
+ "learning_rate": 2.5445255474452555e-05,
1933
+ "loss": 2.7095,
1934
+ "step": 96500
1935
+ },
1936
+ {
1937
+ "epoch": 1.54,
1938
+ "learning_rate": 2.542153284671533e-05,
1939
+ "loss": 2.7011,
1940
+ "step": 97000
1941
+ },
1942
+ {
1943
+ "epoch": 1.54,
1944
+ "eval_loss": 2.801751136779785,
1945
+ "eval_runtime": 439.7019,
1946
+ "eval_samples_per_second": 90.971,
1947
+ "eval_steps_per_second": 11.371,
1948
+ "step": 97000
1949
+ },
1950
+ {
1951
+ "epoch": 1.55,
1952
+ "learning_rate": 2.5397810218978102e-05,
1953
+ "loss": 2.7212,
1954
+ "step": 97500
1955
+ },
1956
+ {
1957
+ "epoch": 1.55,
1958
+ "learning_rate": 2.5374087591240875e-05,
1959
+ "loss": 2.7029,
1960
+ "step": 98000
1961
+ },
1962
+ {
1963
+ "epoch": 1.55,
1964
+ "eval_loss": 2.8029119968414307,
1965
+ "eval_runtime": 439.744,
1966
+ "eval_samples_per_second": 90.962,
1967
+ "eval_steps_per_second": 11.37,
1968
+ "step": 98000
1969
+ },
1970
+ {
1971
+ "epoch": 1.56,
1972
+ "learning_rate": 2.5350364963503652e-05,
1973
+ "loss": 2.7055,
1974
+ "step": 98500
1975
+ },
1976
+ {
1977
+ "epoch": 1.57,
1978
+ "learning_rate": 2.5326642335766422e-05,
1979
+ "loss": 2.701,
1980
+ "step": 99000
1981
+ },
1982
+ {
1983
+ "epoch": 1.57,
1984
+ "eval_loss": 2.800555944442749,
1985
+ "eval_runtime": 439.7759,
1986
+ "eval_samples_per_second": 90.955,
1987
+ "eval_steps_per_second": 11.369,
1988
+ "step": 99000
1989
+ },
1990
+ {
1991
+ "epoch": 1.58,
1992
+ "learning_rate": 2.53029197080292e-05,
1993
+ "loss": 2.7136,
1994
+ "step": 99500
1995
+ },
1996
+ {
1997
+ "epoch": 1.59,
1998
+ "learning_rate": 2.527919708029197e-05,
1999
+ "loss": 2.7044,
2000
+ "step": 100000
2001
+ },
2002
+ {
2003
+ "epoch": 1.59,
2004
+ "eval_loss": 2.8019235134124756,
2005
+ "eval_runtime": 439.7518,
2006
+ "eval_samples_per_second": 90.96,
2007
+ "eval_steps_per_second": 11.37,
2008
+ "step": 100000
2009
+ },
2010
+ {
2011
+ "epoch": 1.59,
2012
+ "learning_rate": 2.5255474452554746e-05,
2013
+ "loss": 2.7141,
2014
+ "step": 100500
2015
+ },
2016
+ {
2017
+ "epoch": 1.6,
2018
+ "learning_rate": 2.523175182481752e-05,
2019
+ "loss": 2.7311,
2020
+ "step": 101000
2021
+ },
2022
+ {
2023
+ "epoch": 1.6,
2024
+ "eval_loss": 2.8053483963012695,
2025
+ "eval_runtime": 439.6812,
2026
+ "eval_samples_per_second": 90.975,
2027
+ "eval_steps_per_second": 11.372,
2028
+ "step": 101000
2029
+ },
2030
+ {
2031
+ "epoch": 1.61,
2032
+ "learning_rate": 2.520802919708029e-05,
2033
+ "loss": 2.7107,
2034
+ "step": 101500
2035
+ },
2036
+ {
2037
+ "epoch": 1.62,
2038
+ "learning_rate": 2.5184306569343067e-05,
2039
+ "loss": 2.711,
2040
+ "step": 102000
2041
+ },
2042
+ {
2043
+ "epoch": 1.62,
2044
+ "eval_loss": 2.805739641189575,
2045
+ "eval_runtime": 439.6645,
2046
+ "eval_samples_per_second": 90.978,
2047
+ "eval_steps_per_second": 11.372,
2048
+ "step": 102000
2049
+ },
2050
+ {
2051
+ "epoch": 1.63,
2052
+ "learning_rate": 2.5160583941605837e-05,
2053
+ "loss": 2.7212,
2054
+ "step": 102500
2055
+ },
2056
+ {
2057
+ "epoch": 1.63,
2058
+ "learning_rate": 2.5136861313868614e-05,
2059
+ "loss": 2.7344,
2060
+ "step": 103000
2061
+ },
2062
+ {
2063
+ "epoch": 1.63,
2064
+ "eval_loss": 2.799654722213745,
2065
+ "eval_runtime": 439.7601,
2066
+ "eval_samples_per_second": 90.959,
2067
+ "eval_steps_per_second": 11.37,
2068
+ "step": 103000
2069
+ },
2070
+ {
2071
+ "epoch": 1.64,
2072
+ "learning_rate": 2.5113138686131388e-05,
2073
+ "loss": 2.7122,
2074
+ "step": 103500
2075
+ },
2076
+ {
2077
+ "epoch": 1.65,
2078
+ "learning_rate": 2.508941605839416e-05,
2079
+ "loss": 2.7236,
2080
+ "step": 104000
2081
+ },
2082
+ {
2083
+ "epoch": 1.65,
2084
+ "eval_loss": 2.803441047668457,
2085
+ "eval_runtime": 439.7253,
2086
+ "eval_samples_per_second": 90.966,
2087
+ "eval_steps_per_second": 11.371,
2088
+ "step": 104000
2089
+ },
2090
+ {
2091
+ "epoch": 1.66,
2092
+ "learning_rate": 2.5065693430656935e-05,
2093
+ "loss": 2.7226,
2094
+ "step": 104500
2095
+ },
2096
+ {
2097
+ "epoch": 1.66,
2098
+ "learning_rate": 2.5041970802919705e-05,
2099
+ "loss": 2.6879,
2100
+ "step": 105000
2101
+ },
2102
+ {
2103
+ "epoch": 1.66,
2104
+ "eval_loss": 2.801588773727417,
2105
+ "eval_runtime": 439.6315,
2106
+ "eval_samples_per_second": 90.985,
2107
+ "eval_steps_per_second": 11.373,
2108
+ "step": 105000
2109
+ },
2110
+ {
2111
+ "epoch": 1.67,
2112
+ "learning_rate": 2.5018248175182482e-05,
2113
+ "loss": 2.732,
2114
+ "step": 105500
2115
+ },
2116
+ {
2117
+ "epoch": 1.68,
2118
+ "learning_rate": 2.499452554744526e-05,
2119
+ "loss": 2.7188,
2120
+ "step": 106000
2121
+ },
2122
+ {
2123
+ "epoch": 1.68,
2124
+ "eval_loss": 2.7991223335266113,
2125
+ "eval_runtime": 439.7752,
2126
+ "eval_samples_per_second": 90.956,
2127
+ "eval_steps_per_second": 11.369,
2128
+ "step": 106000
2129
+ },
2130
+ {
2131
+ "epoch": 1.69,
2132
+ "learning_rate": 2.497080291970803e-05,
2133
+ "loss": 2.7164,
2134
+ "step": 106500
2135
+ },
2136
+ {
2137
+ "epoch": 1.7,
2138
+ "learning_rate": 2.4947080291970802e-05,
2139
+ "loss": 2.6994,
2140
+ "step": 107000
2141
+ },
2142
+ {
2143
+ "epoch": 1.7,
2144
+ "eval_loss": 2.8013699054718018,
2145
+ "eval_runtime": 439.7722,
2146
+ "eval_samples_per_second": 90.956,
2147
+ "eval_steps_per_second": 11.37,
2148
+ "step": 107000
2149
+ },
2150
+ {
2151
+ "epoch": 1.7,
2152
+ "learning_rate": 2.492335766423358e-05,
2153
+ "loss": 2.6989,
2154
+ "step": 107500
2155
+ },
2156
+ {
2157
+ "epoch": 1.71,
2158
+ "learning_rate": 2.489963503649635e-05,
2159
+ "loss": 2.7129,
2160
+ "step": 108000
2161
+ },
2162
+ {
2163
+ "epoch": 1.71,
2164
+ "eval_loss": 2.7973504066467285,
2165
+ "eval_runtime": 439.8695,
2166
+ "eval_samples_per_second": 90.936,
2167
+ "eval_steps_per_second": 11.367,
2168
+ "step": 108000
2169
+ },
2170
+ {
2171
+ "epoch": 1.72,
2172
+ "learning_rate": 2.4875912408759126e-05,
2173
+ "loss": 2.7056,
2174
+ "step": 108500
2175
+ },
2176
+ {
2177
+ "epoch": 1.73,
2178
+ "learning_rate": 2.4852189781021897e-05,
2179
+ "loss": 2.7095,
2180
+ "step": 109000
2181
+ },
2182
+ {
2183
+ "epoch": 1.73,
2184
+ "eval_loss": 2.8017683029174805,
2185
+ "eval_runtime": 439.7668,
2186
+ "eval_samples_per_second": 90.957,
2187
+ "eval_steps_per_second": 11.37,
2188
+ "step": 109000
2189
+ },
2190
+ {
2191
+ "epoch": 1.74,
2192
+ "learning_rate": 2.4828467153284674e-05,
2193
+ "loss": 2.7021,
2194
+ "step": 109500
2195
+ },
2196
+ {
2197
+ "epoch": 1.74,
2198
+ "learning_rate": 2.4804744525547447e-05,
2199
+ "loss": 2.7029,
2200
+ "step": 110000
2201
+ },
2202
+ {
2203
+ "epoch": 1.74,
2204
+ "eval_loss": 2.7975335121154785,
2205
+ "eval_runtime": 439.9718,
2206
+ "eval_samples_per_second": 90.915,
2207
+ "eval_steps_per_second": 11.364,
2208
+ "step": 110000
2209
+ },
2210
+ {
2211
+ "epoch": 1.75,
2212
+ "learning_rate": 2.4781021897810217e-05,
2213
+ "loss": 2.7046,
2214
+ "step": 110500
2215
+ },
2216
+ {
2217
+ "epoch": 1.76,
2218
+ "learning_rate": 2.4757299270072994e-05,
2219
+ "loss": 2.7042,
2220
+ "step": 111000
2221
+ },
2222
+ {
2223
+ "epoch": 1.76,
2224
+ "eval_loss": 2.7961161136627197,
2225
+ "eval_runtime": 439.788,
2226
+ "eval_samples_per_second": 90.953,
2227
+ "eval_steps_per_second": 11.369,
2228
+ "step": 111000
2229
+ },
2230
+ {
2231
+ "epoch": 1.77,
2232
+ "learning_rate": 2.4733576642335768e-05,
2233
+ "loss": 2.7234,
2234
+ "step": 111500
2235
+ },
2236
+ {
2237
+ "epoch": 1.78,
2238
+ "learning_rate": 2.470985401459854e-05,
2239
+ "loss": 2.7134,
2240
+ "step": 112000
2241
+ },
2242
+ {
2243
+ "epoch": 1.78,
2244
+ "eval_loss": 2.795431613922119,
2245
+ "eval_runtime": 439.911,
2246
+ "eval_samples_per_second": 90.927,
2247
+ "eval_steps_per_second": 11.366,
2248
+ "step": 112000
2249
+ },
2250
+ {
2251
+ "epoch": 1.78,
2252
+ "learning_rate": 2.4686131386861315e-05,
2253
+ "loss": 2.6937,
2254
+ "step": 112500
2255
+ },
2256
+ {
2257
+ "epoch": 1.79,
2258
+ "learning_rate": 2.4662408759124088e-05,
2259
+ "loss": 2.6905,
2260
+ "step": 113000
2261
+ },
2262
+ {
2263
+ "epoch": 1.79,
2264
+ "eval_loss": 2.7966976165771484,
2265
+ "eval_runtime": 439.7831,
2266
+ "eval_samples_per_second": 90.954,
2267
+ "eval_steps_per_second": 11.369,
2268
+ "step": 113000
2269
+ },
2270
+ {
2271
+ "epoch": 1.8,
2272
+ "learning_rate": 2.4638686131386862e-05,
2273
+ "loss": 2.7027,
2274
+ "step": 113500
2275
+ },
2276
+ {
2277
+ "epoch": 1.81,
2278
+ "learning_rate": 2.4614963503649635e-05,
2279
+ "loss": 2.6871,
2280
+ "step": 114000
2281
+ },
2282
+ {
2283
+ "epoch": 1.81,
2284
+ "eval_loss": 2.7926506996154785,
2285
+ "eval_runtime": 440.0624,
2286
+ "eval_samples_per_second": 90.896,
2287
+ "eval_steps_per_second": 11.362,
2288
+ "step": 114000
2289
+ },
2290
+ {
2291
+ "epoch": 1.82,
2292
+ "learning_rate": 2.459124087591241e-05,
2293
+ "loss": 2.697,
2294
+ "step": 114500
2295
+ },
2296
+ {
2297
+ "epoch": 1.82,
2298
+ "learning_rate": 2.4567518248175186e-05,
2299
+ "loss": 2.6931,
2300
+ "step": 115000
2301
+ },
2302
+ {
2303
+ "epoch": 1.82,
2304
+ "eval_loss": 2.8011257648468018,
2305
+ "eval_runtime": 439.8116,
2306
+ "eval_samples_per_second": 90.948,
2307
+ "eval_steps_per_second": 11.369,
2308
+ "step": 115000
2309
+ },
2310
+ {
2311
+ "epoch": 1.83,
2312
+ "learning_rate": 2.4543795620437956e-05,
2313
+ "loss": 2.7136,
2314
+ "step": 115500
2315
+ },
2316
+ {
2317
+ "epoch": 1.84,
2318
+ "learning_rate": 2.452007299270073e-05,
2319
+ "loss": 2.702,
2320
+ "step": 116000
2321
+ },
2322
+ {
2323
+ "epoch": 1.84,
2324
+ "eval_loss": 2.7955451011657715,
2325
+ "eval_runtime": 439.914,
2326
+ "eval_samples_per_second": 90.927,
2327
+ "eval_steps_per_second": 11.366,
2328
+ "step": 116000
2329
+ },
2330
+ {
2331
+ "epoch": 1.85,
2332
+ "learning_rate": 2.4496350364963503e-05,
2333
+ "loss": 2.6859,
2334
+ "step": 116500
2335
+ },
2336
+ {
2337
+ "epoch": 1.86,
2338
+ "learning_rate": 2.4472627737226277e-05,
2339
+ "loss": 2.712,
2340
+ "step": 117000
2341
+ },
2342
+ {
2343
+ "epoch": 1.86,
2344
+ "eval_loss": 2.7944655418395996,
2345
+ "eval_runtime": 439.809,
2346
+ "eval_samples_per_second": 90.949,
2347
+ "eval_steps_per_second": 11.369,
2348
+ "step": 117000
2349
+ },
2350
+ {
2351
+ "epoch": 1.86,
2352
+ "learning_rate": 2.4448905109489054e-05,
2353
+ "loss": 2.6984,
2354
+ "step": 117500
2355
+ },
2356
+ {
2357
+ "epoch": 1.87,
2358
+ "learning_rate": 2.4425182481751824e-05,
2359
+ "loss": 2.7091,
2360
+ "step": 118000
2361
+ },
2362
+ {
2363
+ "epoch": 1.87,
2364
+ "eval_loss": 2.7959797382354736,
2365
+ "eval_runtime": 439.9158,
2366
+ "eval_samples_per_second": 90.926,
2367
+ "eval_steps_per_second": 11.366,
2368
+ "step": 118000
2369
+ },
2370
+ {
2371
+ "epoch": 1.88,
2372
+ "learning_rate": 2.44014598540146e-05,
2373
+ "loss": 2.6978,
2374
+ "step": 118500
2375
+ },
2376
+ {
2377
+ "epoch": 1.89,
2378
+ "learning_rate": 2.437773722627737e-05,
2379
+ "loss": 2.6913,
2380
+ "step": 119000
2381
+ },
2382
+ {
2383
+ "epoch": 1.89,
2384
+ "eval_loss": 2.79091739654541,
2385
+ "eval_runtime": 439.7923,
2386
+ "eval_samples_per_second": 90.952,
2387
+ "eval_steps_per_second": 11.369,
2388
+ "step": 119000
2389
+ },
2390
+ {
2391
+ "epoch": 1.89,
2392
+ "learning_rate": 2.4354014598540144e-05,
2393
+ "loss": 2.6964,
2394
+ "step": 119500
2395
+ },
2396
+ {
2397
+ "epoch": 1.9,
2398
+ "learning_rate": 2.433029197080292e-05,
2399
+ "loss": 2.7008,
2400
+ "step": 120000
2401
+ },
2402
+ {
2403
+ "epoch": 1.9,
2404
+ "eval_loss": 2.7938427925109863,
2405
+ "eval_runtime": 439.9595,
2406
+ "eval_samples_per_second": 90.917,
2407
+ "eval_steps_per_second": 11.365,
2408
+ "step": 120000
2409
+ },
2410
+ {
2411
+ "epoch": 1.91,
2412
+ "learning_rate": 2.4306569343065695e-05,
2413
+ "loss": 2.7015,
2414
+ "step": 120500
2415
+ },
2416
+ {
2417
+ "epoch": 1.92,
2418
+ "learning_rate": 2.428284671532847e-05,
2419
+ "loss": 2.6968,
2420
+ "step": 121000
2421
+ },
2422
+ {
2423
+ "epoch": 1.92,
2424
+ "eval_loss": 2.796417236328125,
2425
+ "eval_runtime": 439.8462,
2426
+ "eval_samples_per_second": 90.941,
2427
+ "eval_steps_per_second": 11.368,
2428
+ "step": 121000
2429
+ },
2430
+ {
2431
+ "epoch": 1.93,
2432
+ "learning_rate": 2.425912408759124e-05,
2433
+ "loss": 2.6936,
2434
+ "step": 121500
2435
+ },
2436
+ {
2437
+ "epoch": 1.93,
2438
+ "learning_rate": 2.4235401459854015e-05,
2439
+ "loss": 2.688,
2440
+ "step": 122000
2441
+ },
2442
+ {
2443
+ "epoch": 1.93,
2444
+ "eval_loss": 2.790297269821167,
2445
+ "eval_runtime": 439.89,
2446
+ "eval_samples_per_second": 90.932,
2447
+ "eval_steps_per_second": 11.366,
2448
+ "step": 122000
2449
+ },
2450
+ {
2451
+ "epoch": 1.94,
2452
+ "learning_rate": 2.421167883211679e-05,
2453
+ "loss": 2.6885,
2454
+ "step": 122500
2455
+ },
2456
+ {
2457
+ "epoch": 1.95,
2458
+ "learning_rate": 2.4187956204379563e-05,
2459
+ "loss": 2.7015,
2460
+ "step": 123000
2461
+ },
2462
+ {
2463
+ "epoch": 1.95,
2464
+ "eval_loss": 2.7968406677246094,
2465
+ "eval_runtime": 439.8161,
2466
+ "eval_samples_per_second": 90.947,
2467
+ "eval_steps_per_second": 11.368,
2468
+ "step": 123000
2469
+ },
2470
+ {
2471
+ "epoch": 1.96,
2472
+ "learning_rate": 2.4164233576642336e-05,
2473
+ "loss": 2.7095,
2474
+ "step": 123500
2475
+ },
2476
+ {
2477
+ "epoch": 1.97,
2478
+ "learning_rate": 2.414051094890511e-05,
2479
+ "loss": 2.7038,
2480
+ "step": 124000
2481
+ },
2482
+ {
2483
+ "epoch": 1.97,
2484
+ "eval_loss": 2.79244327545166,
2485
+ "eval_runtime": 439.8929,
2486
+ "eval_samples_per_second": 90.931,
2487
+ "eval_steps_per_second": 11.366,
2488
+ "step": 124000
2489
+ },
2490
+ {
2491
+ "epoch": 1.97,
2492
+ "learning_rate": 2.4116788321167883e-05,
2493
+ "loss": 2.6901,
2494
+ "step": 124500
2495
+ },
2496
+ {
2497
+ "epoch": 1.98,
2498
+ "learning_rate": 2.4093065693430657e-05,
2499
+ "loss": 2.6991,
2500
+ "step": 125000
2501
+ },
2502
+ {
2503
+ "epoch": 1.98,
2504
+ "eval_loss": 2.7943027019500732,
2505
+ "eval_runtime": 439.7901,
2506
+ "eval_samples_per_second": 90.952,
2507
+ "eval_steps_per_second": 11.369,
2508
+ "step": 125000
2509
+ },
2510
+ {
2511
+ "epoch": 1.99,
2512
+ "learning_rate": 2.406934306569343e-05,
2513
+ "loss": 2.6954,
2514
+ "step": 125500
2515
+ },
2516
+ {
2517
+ "epoch": 2.0,
2518
+ "learning_rate": 2.4045620437956207e-05,
2519
+ "loss": 2.6804,
2520
+ "step": 126000
2521
+ },
2522
+ {
2523
+ "epoch": 2.0,
2524
+ "eval_loss": 2.785961627960205,
2525
+ "eval_runtime": 440.0425,
2526
+ "eval_samples_per_second": 90.9,
2527
+ "eval_steps_per_second": 11.363,
2528
+ "step": 126000
2529
+ }
2530
+ ],
2531
+ "max_steps": 630700,
2532
+ "num_train_epochs": 10,
2533
+ "total_flos": 8.47096165805568e+17,
2534
+ "trial_name": null,
2535
+ "trial_params": null
2536
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c0af4ae3f3aadb03321f57588b5566a66ddab049a401a7737dc0d44ea39ae2ee
3
+ size 4283