add model files
Browse files- .gitattributes +1 -0
- config.json +27 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tokenizer_config.json +1 -0
- trainer_state.json +1006 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
25 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
26 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
27 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
25 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
26 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
27 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
28 |
+
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "drive/MyDrive/AraT5_FT_title_generation/checkpoint-49000",
|
3 |
+
"architectures": [
|
4 |
+
"T5ForConditionalGeneration"
|
5 |
+
],
|
6 |
+
"d_ff": 2048,
|
7 |
+
"d_kv": 64,
|
8 |
+
"d_model": 768,
|
9 |
+
"decoder_start_token_id": 0,
|
10 |
+
"dropout_rate": 0.1,
|
11 |
+
"eos_token_id": 1,
|
12 |
+
"feed_forward_proj": "gated-gelu",
|
13 |
+
"gradient_checkpointing": false,
|
14 |
+
"initializer_factor": 1.0,
|
15 |
+
"is_encoder_decoder": true,
|
16 |
+
"layer_norm_epsilon": 1e-06,
|
17 |
+
"model_type": "t5",
|
18 |
+
"num_decoder_layers": 12,
|
19 |
+
"num_heads": 12,
|
20 |
+
"num_layers": 12,
|
21 |
+
"output_past": true,
|
22 |
+
"pad_token_id": 0,
|
23 |
+
"relative_attention_num_buckets": 32,
|
24 |
+
"transformers_version": "4.5.1",
|
25 |
+
"use_cache": true,
|
26 |
+
"vocab_size": 110080
|
27 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9f141ddeb0f45a7f0ca21c355a8657a66586908ff90bd01edbf476477964377f
|
3 |
+
size 1131209487
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c69037668b4aa26a6f50b4ef2fec1c191fe7d48648a2e72918fc57cb87cad23b
|
3 |
+
size 623
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
|
spiece.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c7ae4407451bf02b459edec774d0539a06615005dd34d5c85c5c06765ff1606
|
3 |
+
size 2435308
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/tmp/AraT5_cache_dir/3b52be683fa2fd36463d04d51871966137133d8c4fc7663ff2a20cb4f3549c18.b02fba13e4584f40329b20be0bad88c2ef97b5fda7d9f4f69b1cb3a620568a86", "name_or_path": "UBC-NLP/AraT5-base"}
|
trainer_state.json
ADDED
@@ -0,0 +1,1006 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 23.7361,
|
3 |
+
"best_model_checkpoint": "drive/MyDrive/AraT5_FT_title_generation/checkpoint-64000",
|
4 |
+
"epoch": 6.963494408102975,
|
5 |
+
"global_step": 66000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.11,
|
12 |
+
"learning_rate": 1.6666666666666667e-05,
|
13 |
+
"loss": 35.638,
|
14 |
+
"step": 1000
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.11,
|
18 |
+
"eval_bleu": 0.0,
|
19 |
+
"eval_gen_len": 18.823,
|
20 |
+
"eval_loss": 8.983467102050781,
|
21 |
+
"eval_runtime": 261.594,
|
22 |
+
"eval_samples_per_second": 3.823,
|
23 |
+
"step": 1000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.21,
|
27 |
+
"learning_rate": 3.3333333333333335e-05,
|
28 |
+
"loss": 8.3857,
|
29 |
+
"step": 2000
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.21,
|
33 |
+
"eval_bleu": 0.198,
|
34 |
+
"eval_gen_len": 12.74,
|
35 |
+
"eval_loss": 7.130731105804443,
|
36 |
+
"eval_runtime": 245.9993,
|
37 |
+
"eval_samples_per_second": 4.065,
|
38 |
+
"step": 2000
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.32,
|
42 |
+
"learning_rate": 5e-05,
|
43 |
+
"loss": 6.9885,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.32,
|
48 |
+
"eval_bleu": 0.8955,
|
49 |
+
"eval_gen_len": 14.538,
|
50 |
+
"eval_loss": 5.843496799468994,
|
51 |
+
"eval_runtime": 253.3806,
|
52 |
+
"eval_samples_per_second": 3.947,
|
53 |
+
"step": 3000
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.42,
|
57 |
+
"learning_rate": 4.97567099398587e-05,
|
58 |
+
"loss": 5.9845,
|
59 |
+
"step": 4000
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.42,
|
63 |
+
"eval_bleu": 2.1258,
|
64 |
+
"eval_gen_len": 12.856,
|
65 |
+
"eval_loss": 4.96659517288208,
|
66 |
+
"eval_runtime": 239.9357,
|
67 |
+
"eval_samples_per_second": 4.168,
|
68 |
+
"step": 4000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.53,
|
72 |
+
"learning_rate": 4.95134198797174e-05,
|
73 |
+
"loss": 5.3511,
|
74 |
+
"step": 5000
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.53,
|
78 |
+
"eval_bleu": 4.529,
|
79 |
+
"eval_gen_len": 13.551,
|
80 |
+
"eval_loss": 4.428027153015137,
|
81 |
+
"eval_runtime": 244.6554,
|
82 |
+
"eval_samples_per_second": 4.087,
|
83 |
+
"step": 5000
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 0.63,
|
87 |
+
"learning_rate": 4.92701298195761e-05,
|
88 |
+
"loss": 4.8601,
|
89 |
+
"step": 6000
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.63,
|
93 |
+
"eval_bleu": 7.2219,
|
94 |
+
"eval_gen_len": 12.194,
|
95 |
+
"eval_loss": 4.005715370178223,
|
96 |
+
"eval_runtime": 190.607,
|
97 |
+
"eval_samples_per_second": 5.246,
|
98 |
+
"step": 6000
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.74,
|
102 |
+
"learning_rate": 4.902683975943479e-05,
|
103 |
+
"loss": 4.4955,
|
104 |
+
"step": 7000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.74,
|
108 |
+
"eval_bleu": 9.4889,
|
109 |
+
"eval_gen_len": 12.137,
|
110 |
+
"eval_loss": 3.741957664489746,
|
111 |
+
"eval_runtime": 185.7078,
|
112 |
+
"eval_samples_per_second": 5.385,
|
113 |
+
"step": 7000
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 0.84,
|
117 |
+
"learning_rate": 4.878354969929349e-05,
|
118 |
+
"loss": 4.2481,
|
119 |
+
"step": 8000
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.84,
|
123 |
+
"eval_bleu": 11.3848,
|
124 |
+
"eval_gen_len": 11.773,
|
125 |
+
"eval_loss": 3.5194664001464844,
|
126 |
+
"eval_runtime": 180.2345,
|
127 |
+
"eval_samples_per_second": 5.548,
|
128 |
+
"step": 8000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.95,
|
132 |
+
"learning_rate": 4.8540259639152185e-05,
|
133 |
+
"loss": 4.0054,
|
134 |
+
"step": 9000
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.95,
|
138 |
+
"eval_bleu": 13.8757,
|
139 |
+
"eval_gen_len": 11.671,
|
140 |
+
"eval_loss": 3.378380298614502,
|
141 |
+
"eval_runtime": 179.378,
|
142 |
+
"eval_samples_per_second": 5.575,
|
143 |
+
"step": 9000
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.06,
|
147 |
+
"learning_rate": 4.829696957901088e-05,
|
148 |
+
"loss": 3.8032,
|
149 |
+
"step": 10000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.06,
|
153 |
+
"eval_bleu": 15.1716,
|
154 |
+
"eval_gen_len": 11.402,
|
155 |
+
"eval_loss": 3.2721943855285645,
|
156 |
+
"eval_runtime": 176.9812,
|
157 |
+
"eval_samples_per_second": 5.65,
|
158 |
+
"step": 10000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.16,
|
162 |
+
"learning_rate": 4.805367951886958e-05,
|
163 |
+
"loss": 3.6668,
|
164 |
+
"step": 11000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.16,
|
168 |
+
"eval_bleu": 15.1204,
|
169 |
+
"eval_gen_len": 11.792,
|
170 |
+
"eval_loss": 3.1800124645233154,
|
171 |
+
"eval_runtime": 179.9992,
|
172 |
+
"eval_samples_per_second": 5.556,
|
173 |
+
"step": 11000
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.27,
|
177 |
+
"learning_rate": 4.781038945872828e-05,
|
178 |
+
"loss": 3.5526,
|
179 |
+
"step": 12000
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.27,
|
183 |
+
"eval_bleu": 15.4619,
|
184 |
+
"eval_gen_len": 12.077,
|
185 |
+
"eval_loss": 3.103393077850342,
|
186 |
+
"eval_runtime": 183.5811,
|
187 |
+
"eval_samples_per_second": 5.447,
|
188 |
+
"step": 12000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.37,
|
192 |
+
"learning_rate": 4.756709939858697e-05,
|
193 |
+
"loss": 3.4665,
|
194 |
+
"step": 13000
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 1.37,
|
198 |
+
"eval_bleu": 16.7979,
|
199 |
+
"eval_gen_len": 11.766,
|
200 |
+
"eval_loss": 3.0600805282592773,
|
201 |
+
"eval_runtime": 183.4473,
|
202 |
+
"eval_samples_per_second": 5.451,
|
203 |
+
"step": 13000
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.48,
|
207 |
+
"learning_rate": 4.732380933844567e-05,
|
208 |
+
"loss": 3.3754,
|
209 |
+
"step": 14000
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.48,
|
213 |
+
"eval_bleu": 17.5953,
|
214 |
+
"eval_gen_len": 11.554,
|
215 |
+
"eval_loss": 2.9892418384552,
|
216 |
+
"eval_runtime": 183.2148,
|
217 |
+
"eval_samples_per_second": 5.458,
|
218 |
+
"step": 14000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.58,
|
222 |
+
"learning_rate": 4.708051927830437e-05,
|
223 |
+
"loss": 3.3243,
|
224 |
+
"step": 15000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.58,
|
228 |
+
"eval_bleu": 18.2111,
|
229 |
+
"eval_gen_len": 11.962,
|
230 |
+
"eval_loss": 2.9837777614593506,
|
231 |
+
"eval_runtime": 180.3526,
|
232 |
+
"eval_samples_per_second": 5.545,
|
233 |
+
"step": 15000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.69,
|
237 |
+
"learning_rate": 4.6837229218163065e-05,
|
238 |
+
"loss": 3.2794,
|
239 |
+
"step": 16000
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 1.69,
|
243 |
+
"eval_bleu": 18.227,
|
244 |
+
"eval_gen_len": 11.463,
|
245 |
+
"eval_loss": 2.898597240447998,
|
246 |
+
"eval_runtime": 178.1798,
|
247 |
+
"eval_samples_per_second": 5.612,
|
248 |
+
"step": 16000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.79,
|
252 |
+
"learning_rate": 4.659393915802176e-05,
|
253 |
+
"loss": 3.203,
|
254 |
+
"step": 17000
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.79,
|
258 |
+
"eval_bleu": 19.2324,
|
259 |
+
"eval_gen_len": 11.34,
|
260 |
+
"eval_loss": 2.8416123390197754,
|
261 |
+
"eval_runtime": 176.1105,
|
262 |
+
"eval_samples_per_second": 5.678,
|
263 |
+
"step": 17000
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.9,
|
267 |
+
"learning_rate": 4.635064909788046e-05,
|
268 |
+
"loss": 3.1658,
|
269 |
+
"step": 18000
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.9,
|
273 |
+
"eval_bleu": 19.0493,
|
274 |
+
"eval_gen_len": 11.414,
|
275 |
+
"eval_loss": 2.8081586360931396,
|
276 |
+
"eval_runtime": 178.4234,
|
277 |
+
"eval_samples_per_second": 5.605,
|
278 |
+
"step": 18000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.0,
|
282 |
+
"learning_rate": 4.610735903773916e-05,
|
283 |
+
"loss": 3.0979,
|
284 |
+
"step": 19000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.0,
|
288 |
+
"eval_bleu": 19.4019,
|
289 |
+
"eval_gen_len": 11.815,
|
290 |
+
"eval_loss": 2.801037311553955,
|
291 |
+
"eval_runtime": 184.5402,
|
292 |
+
"eval_samples_per_second": 5.419,
|
293 |
+
"step": 19000
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 2.11,
|
297 |
+
"learning_rate": 4.586406897759785e-05,
|
298 |
+
"loss": 2.963,
|
299 |
+
"step": 20000
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 2.11,
|
303 |
+
"eval_bleu": 20.4101,
|
304 |
+
"eval_gen_len": 10.937,
|
305 |
+
"eval_loss": 2.7728490829467773,
|
306 |
+
"eval_runtime": 216.7393,
|
307 |
+
"eval_samples_per_second": 4.614,
|
308 |
+
"step": 20000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 2.22,
|
312 |
+
"learning_rate": 4.5620778917456556e-05,
|
313 |
+
"loss": 2.9022,
|
314 |
+
"step": 21000
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.22,
|
318 |
+
"eval_bleu": 20.2568,
|
319 |
+
"eval_gen_len": 11.498,
|
320 |
+
"eval_loss": 2.748673439025879,
|
321 |
+
"eval_runtime": 222.8526,
|
322 |
+
"eval_samples_per_second": 4.487,
|
323 |
+
"step": 21000
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 2.32,
|
327 |
+
"learning_rate": 4.537748885731525e-05,
|
328 |
+
"loss": 2.9113,
|
329 |
+
"step": 22000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 2.32,
|
333 |
+
"eval_bleu": 20.7867,
|
334 |
+
"eval_gen_len": 11.143,
|
335 |
+
"eval_loss": 2.714132308959961,
|
336 |
+
"eval_runtime": 237.849,
|
337 |
+
"eval_samples_per_second": 4.204,
|
338 |
+
"step": 22000
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 2.43,
|
342 |
+
"learning_rate": 4.5134198797173945e-05,
|
343 |
+
"loss": 2.9026,
|
344 |
+
"step": 23000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 2.43,
|
348 |
+
"eval_bleu": 20.6776,
|
349 |
+
"eval_gen_len": 11.403,
|
350 |
+
"eval_loss": 2.681997060775757,
|
351 |
+
"eval_runtime": 245.0406,
|
352 |
+
"eval_samples_per_second": 4.081,
|
353 |
+
"step": 23000
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 2.53,
|
357 |
+
"learning_rate": 4.4890908737032644e-05,
|
358 |
+
"loss": 2.8522,
|
359 |
+
"step": 24000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 2.53,
|
363 |
+
"eval_bleu": 21.2223,
|
364 |
+
"eval_gen_len": 11.345,
|
365 |
+
"eval_loss": 2.6821537017822266,
|
366 |
+
"eval_runtime": 234.0719,
|
367 |
+
"eval_samples_per_second": 4.272,
|
368 |
+
"step": 24000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 2.64,
|
372 |
+
"learning_rate": 4.464761867689134e-05,
|
373 |
+
"loss": 2.8177,
|
374 |
+
"step": 25000
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 2.64,
|
378 |
+
"eval_bleu": 21.1983,
|
379 |
+
"eval_gen_len": 11.272,
|
380 |
+
"eval_loss": 2.6571996212005615,
|
381 |
+
"eval_runtime": 244.6544,
|
382 |
+
"eval_samples_per_second": 4.087,
|
383 |
+
"step": 25000
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 2.74,
|
387 |
+
"learning_rate": 4.440432861675003e-05,
|
388 |
+
"loss": 2.8178,
|
389 |
+
"step": 26000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 2.74,
|
393 |
+
"eval_bleu": 21.0805,
|
394 |
+
"eval_gen_len": 11.569,
|
395 |
+
"eval_loss": 2.647949695587158,
|
396 |
+
"eval_runtime": 246.8942,
|
397 |
+
"eval_samples_per_second": 4.05,
|
398 |
+
"step": 26000
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 2.85,
|
402 |
+
"learning_rate": 4.416103855660874e-05,
|
403 |
+
"loss": 2.7526,
|
404 |
+
"step": 27000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 2.85,
|
408 |
+
"eval_bleu": 20.354,
|
409 |
+
"eval_gen_len": 11.81,
|
410 |
+
"eval_loss": 2.6451191902160645,
|
411 |
+
"eval_runtime": 254.1274,
|
412 |
+
"eval_samples_per_second": 3.935,
|
413 |
+
"step": 27000
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 2.95,
|
417 |
+
"learning_rate": 4.391774849646743e-05,
|
418 |
+
"loss": 2.783,
|
419 |
+
"step": 28000
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 2.95,
|
423 |
+
"eval_bleu": 21.1215,
|
424 |
+
"eval_gen_len": 11.437,
|
425 |
+
"eval_loss": 2.60164213180542,
|
426 |
+
"eval_runtime": 229.9337,
|
427 |
+
"eval_samples_per_second": 4.349,
|
428 |
+
"step": 28000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 3.06,
|
432 |
+
"learning_rate": 4.367445843632613e-05,
|
433 |
+
"loss": 2.6665,
|
434 |
+
"step": 29000
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 3.06,
|
438 |
+
"eval_bleu": 20.9631,
|
439 |
+
"eval_gen_len": 11.499,
|
440 |
+
"eval_loss": 2.6079459190368652,
|
441 |
+
"eval_runtime": 230.5689,
|
442 |
+
"eval_samples_per_second": 4.337,
|
443 |
+
"step": 29000
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 3.17,
|
447 |
+
"learning_rate": 4.343116837618482e-05,
|
448 |
+
"loss": 2.6233,
|
449 |
+
"step": 30000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 3.17,
|
453 |
+
"eval_bleu": 21.332,
|
454 |
+
"eval_gen_len": 11.468,
|
455 |
+
"eval_loss": 2.613509178161621,
|
456 |
+
"eval_runtime": 201.795,
|
457 |
+
"eval_samples_per_second": 4.956,
|
458 |
+
"step": 30000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 3.27,
|
462 |
+
"learning_rate": 4.3187878316043524e-05,
|
463 |
+
"loss": 2.5983,
|
464 |
+
"step": 31000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 3.27,
|
468 |
+
"eval_bleu": 21.0944,
|
469 |
+
"eval_gen_len": 11.603,
|
470 |
+
"eval_loss": 2.5642783641815186,
|
471 |
+
"eval_runtime": 201.0993,
|
472 |
+
"eval_samples_per_second": 4.973,
|
473 |
+
"step": 31000
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 3.38,
|
477 |
+
"learning_rate": 4.2944588255902215e-05,
|
478 |
+
"loss": 2.5912,
|
479 |
+
"step": 32000
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 3.38,
|
483 |
+
"eval_bleu": 21.6143,
|
484 |
+
"eval_gen_len": 11.104,
|
485 |
+
"eval_loss": 2.5584685802459717,
|
486 |
+
"eval_runtime": 198.7529,
|
487 |
+
"eval_samples_per_second": 5.031,
|
488 |
+
"step": 32000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 3.48,
|
492 |
+
"learning_rate": 4.2701298195760914e-05,
|
493 |
+
"loss": 2.5681,
|
494 |
+
"step": 33000
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 3.48,
|
498 |
+
"eval_bleu": 21.8716,
|
499 |
+
"eval_gen_len": 10.987,
|
500 |
+
"eval_loss": 2.541090726852417,
|
501 |
+
"eval_runtime": 208.1375,
|
502 |
+
"eval_samples_per_second": 4.805,
|
503 |
+
"step": 33000
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 3.59,
|
507 |
+
"learning_rate": 4.245800813561961e-05,
|
508 |
+
"loss": 2.5657,
|
509 |
+
"step": 34000
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 3.59,
|
513 |
+
"eval_bleu": 21.7373,
|
514 |
+
"eval_gen_len": 11.364,
|
515 |
+
"eval_loss": 2.51957368850708,
|
516 |
+
"eval_runtime": 220.5477,
|
517 |
+
"eval_samples_per_second": 4.534,
|
518 |
+
"step": 34000
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 3.69,
|
522 |
+
"learning_rate": 4.221471807547831e-05,
|
523 |
+
"loss": 2.5639,
|
524 |
+
"step": 35000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 3.69,
|
528 |
+
"eval_bleu": 21.9015,
|
529 |
+
"eval_gen_len": 11.395,
|
530 |
+
"eval_loss": 2.516514539718628,
|
531 |
+
"eval_runtime": 224.7434,
|
532 |
+
"eval_samples_per_second": 4.45,
|
533 |
+
"step": 35000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 3.8,
|
537 |
+
"learning_rate": 4.197142801533701e-05,
|
538 |
+
"loss": 2.5257,
|
539 |
+
"step": 36000
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 3.8,
|
543 |
+
"eval_bleu": 21.7659,
|
544 |
+
"eval_gen_len": 11.47,
|
545 |
+
"eval_loss": 2.5282981395721436,
|
546 |
+
"eval_runtime": 248.968,
|
547 |
+
"eval_samples_per_second": 4.017,
|
548 |
+
"step": 36000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 3.9,
|
552 |
+
"learning_rate": 4.1728137955195706e-05,
|
553 |
+
"loss": 2.5278,
|
554 |
+
"step": 37000
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 3.9,
|
558 |
+
"eval_bleu": 22.3318,
|
559 |
+
"eval_gen_len": 11.31,
|
560 |
+
"eval_loss": 2.5119266510009766,
|
561 |
+
"eval_runtime": 201.5867,
|
562 |
+
"eval_samples_per_second": 4.961,
|
563 |
+
"step": 37000
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 4.01,
|
567 |
+
"learning_rate": 4.1484847895054404e-05,
|
568 |
+
"loss": 2.5164,
|
569 |
+
"step": 38000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 4.01,
|
573 |
+
"eval_bleu": 21.6403,
|
574 |
+
"eval_gen_len": 11.544,
|
575 |
+
"eval_loss": 2.5127675533294678,
|
576 |
+
"eval_runtime": 222.4942,
|
577 |
+
"eval_samples_per_second": 4.494,
|
578 |
+
"step": 38000
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 4.11,
|
582 |
+
"learning_rate": 4.1241557834913096e-05,
|
583 |
+
"loss": 2.3804,
|
584 |
+
"step": 39000
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 4.11,
|
588 |
+
"eval_bleu": 21.88,
|
589 |
+
"eval_gen_len": 11.368,
|
590 |
+
"eval_loss": 2.5173442363739014,
|
591 |
+
"eval_runtime": 231.6469,
|
592 |
+
"eval_samples_per_second": 4.317,
|
593 |
+
"step": 39000
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 4.22,
|
597 |
+
"learning_rate": 4.09982677747718e-05,
|
598 |
+
"loss": 2.4065,
|
599 |
+
"step": 40000
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 4.22,
|
603 |
+
"eval_bleu": 21.6251,
|
604 |
+
"eval_gen_len": 11.596,
|
605 |
+
"eval_loss": 2.481987714767456,
|
606 |
+
"eval_runtime": 224.3387,
|
607 |
+
"eval_samples_per_second": 4.458,
|
608 |
+
"step": 40000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 4.33,
|
612 |
+
"learning_rate": 4.075497771463049e-05,
|
613 |
+
"loss": 2.3876,
|
614 |
+
"step": 41000
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 4.33,
|
618 |
+
"eval_bleu": 22.5464,
|
619 |
+
"eval_gen_len": 11.385,
|
620 |
+
"eval_loss": 2.49714994430542,
|
621 |
+
"eval_runtime": 204.1448,
|
622 |
+
"eval_samples_per_second": 4.898,
|
623 |
+
"step": 41000
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 4.43,
|
627 |
+
"learning_rate": 4.051168765448919e-05,
|
628 |
+
"loss": 2.3339,
|
629 |
+
"step": 42000
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 4.43,
|
633 |
+
"eval_bleu": 22.9928,
|
634 |
+
"eval_gen_len": 11.032,
|
635 |
+
"eval_loss": 2.4970240592956543,
|
636 |
+
"eval_runtime": 207.9008,
|
637 |
+
"eval_samples_per_second": 4.81,
|
638 |
+
"step": 42000
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 4.54,
|
642 |
+
"learning_rate": 4.026839759434789e-05,
|
643 |
+
"loss": 2.3397,
|
644 |
+
"step": 43000
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 4.54,
|
648 |
+
"eval_bleu": 22.1443,
|
649 |
+
"eval_gen_len": 11.523,
|
650 |
+
"eval_loss": 2.476402759552002,
|
651 |
+
"eval_runtime": 206.0363,
|
652 |
+
"eval_samples_per_second": 4.854,
|
653 |
+
"step": 43000
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 4.64,
|
657 |
+
"learning_rate": 4.0025107534206587e-05,
|
658 |
+
"loss": 2.3629,
|
659 |
+
"step": 44000
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 4.64,
|
663 |
+
"eval_bleu": 22.8804,
|
664 |
+
"eval_gen_len": 11.271,
|
665 |
+
"eval_loss": 2.455251455307007,
|
666 |
+
"eval_runtime": 206.5896,
|
667 |
+
"eval_samples_per_second": 4.841,
|
668 |
+
"step": 44000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 4.75,
|
672 |
+
"learning_rate": 3.978181747406528e-05,
|
673 |
+
"loss": 2.3749,
|
674 |
+
"step": 45000
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 4.75,
|
678 |
+
"eval_bleu": 21.9768,
|
679 |
+
"eval_gen_len": 11.698,
|
680 |
+
"eval_loss": 2.4702677726745605,
|
681 |
+
"eval_runtime": 201.4429,
|
682 |
+
"eval_samples_per_second": 4.964,
|
683 |
+
"step": 45000
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 4.85,
|
687 |
+
"learning_rate": 3.9538527413923976e-05,
|
688 |
+
"loss": 2.3341,
|
689 |
+
"step": 46000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 4.85,
|
693 |
+
"eval_bleu": 23.3467,
|
694 |
+
"eval_gen_len": 11.481,
|
695 |
+
"eval_loss": 2.4574341773986816,
|
696 |
+
"eval_runtime": 219.555,
|
697 |
+
"eval_samples_per_second": 4.555,
|
698 |
+
"step": 46000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 4.96,
|
702 |
+
"learning_rate": 3.9295237353782674e-05,
|
703 |
+
"loss": 2.3405,
|
704 |
+
"step": 47000
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 4.96,
|
708 |
+
"eval_bleu": 22.2318,
|
709 |
+
"eval_gen_len": 11.215,
|
710 |
+
"eval_loss": 2.416428327560425,
|
711 |
+
"eval_runtime": 219.9781,
|
712 |
+
"eval_samples_per_second": 4.546,
|
713 |
+
"step": 47000
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 5.06,
|
717 |
+
"learning_rate": 3.905194729364137e-05,
|
718 |
+
"loss": 2.2188,
|
719 |
+
"step": 48000
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 5.06,
|
723 |
+
"eval_bleu": 22.4174,
|
724 |
+
"eval_gen_len": 11.296,
|
725 |
+
"eval_loss": 2.478271007537842,
|
726 |
+
"eval_runtime": 207.2586,
|
727 |
+
"eval_samples_per_second": 4.825,
|
728 |
+
"step": 48000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 5.17,
|
732 |
+
"learning_rate": 3.880865723350007e-05,
|
733 |
+
"loss": 2.1582,
|
734 |
+
"step": 49000
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 5.17,
|
738 |
+
"eval_bleu": 22.9358,
|
739 |
+
"eval_gen_len": 11.209,
|
740 |
+
"eval_loss": 2.478005886077881,
|
741 |
+
"eval_runtime": 218.3957,
|
742 |
+
"eval_samples_per_second": 4.579,
|
743 |
+
"step": 49000
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 5.28,
|
747 |
+
"learning_rate": 3.856536717335877e-05,
|
748 |
+
"loss": 2.2462,
|
749 |
+
"step": 50000
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 5.28,
|
753 |
+
"eval_bleu": 22.4676,
|
754 |
+
"eval_gen_len": 11.412,
|
755 |
+
"eval_loss": 2.4692862033843994,
|
756 |
+
"eval_runtime": 129.2452,
|
757 |
+
"eval_samples_per_second": 7.737,
|
758 |
+
"step": 50000
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 5.38,
|
762 |
+
"learning_rate": 3.832207711321747e-05,
|
763 |
+
"loss": 2.2293,
|
764 |
+
"step": 51000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 5.38,
|
768 |
+
"eval_bleu": 22.8528,
|
769 |
+
"eval_gen_len": 11.306,
|
770 |
+
"eval_loss": 2.4192593097686768,
|
771 |
+
"eval_runtime": 131.8082,
|
772 |
+
"eval_samples_per_second": 7.587,
|
773 |
+
"step": 51000
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 5.49,
|
777 |
+
"learning_rate": 3.807878705307616e-05,
|
778 |
+
"loss": 2.2323,
|
779 |
+
"step": 52000
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 5.49,
|
783 |
+
"eval_bleu": 23.4254,
|
784 |
+
"eval_gen_len": 11.5,
|
785 |
+
"eval_loss": 2.436190605163574,
|
786 |
+
"eval_runtime": 129.6391,
|
787 |
+
"eval_samples_per_second": 7.714,
|
788 |
+
"step": 52000
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 5.59,
|
792 |
+
"learning_rate": 3.783549699293486e-05,
|
793 |
+
"loss": 2.2434,
|
794 |
+
"step": 53000
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 5.59,
|
798 |
+
"eval_bleu": 23.0953,
|
799 |
+
"eval_gen_len": 11.579,
|
800 |
+
"eval_loss": 2.434554100036621,
|
801 |
+
"eval_runtime": 129.6268,
|
802 |
+
"eval_samples_per_second": 7.714,
|
803 |
+
"step": 53000
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 5.7,
|
807 |
+
"learning_rate": 3.7592206932793555e-05,
|
808 |
+
"loss": 2.2106,
|
809 |
+
"step": 54000
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 5.7,
|
813 |
+
"eval_bleu": 22.5385,
|
814 |
+
"eval_gen_len": 11.793,
|
815 |
+
"eval_loss": 2.4267661571502686,
|
816 |
+
"eval_runtime": 133.564,
|
817 |
+
"eval_samples_per_second": 7.487,
|
818 |
+
"step": 54000
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 5.8,
|
822 |
+
"learning_rate": 3.734891687265225e-05,
|
823 |
+
"loss": 2.2152,
|
824 |
+
"step": 55000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 5.8,
|
828 |
+
"eval_bleu": 22.6911,
|
829 |
+
"eval_gen_len": 11.479,
|
830 |
+
"eval_loss": 2.4134082794189453,
|
831 |
+
"eval_runtime": 133.7203,
|
832 |
+
"eval_samples_per_second": 7.478,
|
833 |
+
"step": 55000
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 5.91,
|
837 |
+
"learning_rate": 3.710562681251095e-05,
|
838 |
+
"loss": 2.2198,
|
839 |
+
"step": 56000
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 5.91,
|
843 |
+
"eval_bleu": 22.5865,
|
844 |
+
"eval_gen_len": 11.59,
|
845 |
+
"eval_loss": 2.433336019515991,
|
846 |
+
"eval_runtime": 173.431,
|
847 |
+
"eval_samples_per_second": 5.766,
|
848 |
+
"step": 56000
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 6.01,
|
852 |
+
"learning_rate": 3.686233675236965e-05,
|
853 |
+
"loss": 2.2326,
|
854 |
+
"step": 57000
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 6.01,
|
858 |
+
"eval_bleu": 23.0494,
|
859 |
+
"eval_gen_len": 11.487,
|
860 |
+
"eval_loss": 2.4282305240631104,
|
861 |
+
"eval_runtime": 145.1447,
|
862 |
+
"eval_samples_per_second": 6.89,
|
863 |
+
"step": 57000
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 6.12,
|
867 |
+
"learning_rate": 3.661904669222834e-05,
|
868 |
+
"loss": 2.1317,
|
869 |
+
"step": 58000
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 6.12,
|
873 |
+
"eval_bleu": 23.1905,
|
874 |
+
"eval_gen_len": 11.478,
|
875 |
+
"eval_loss": 2.4288105964660645,
|
876 |
+
"eval_runtime": 136.8723,
|
877 |
+
"eval_samples_per_second": 7.306,
|
878 |
+
"step": 58000
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 6.22,
|
882 |
+
"learning_rate": 3.6375756632087045e-05,
|
883 |
+
"loss": 2.1239,
|
884 |
+
"step": 59000
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 6.22,
|
888 |
+
"eval_bleu": 23.0939,
|
889 |
+
"eval_gen_len": 11.375,
|
890 |
+
"eval_loss": 2.4191648960113525,
|
891 |
+
"eval_runtime": 136.6994,
|
892 |
+
"eval_samples_per_second": 7.315,
|
893 |
+
"step": 59000
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 6.33,
|
897 |
+
"learning_rate": 3.613246657194574e-05,
|
898 |
+
"loss": 2.1326,
|
899 |
+
"step": 60000
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 6.33,
|
903 |
+
"eval_bleu": 23.3522,
|
904 |
+
"eval_gen_len": 11.23,
|
905 |
+
"eval_loss": 2.4099223613739014,
|
906 |
+
"eval_runtime": 144.7238,
|
907 |
+
"eval_samples_per_second": 6.91,
|
908 |
+
"step": 60000
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 6.44,
|
912 |
+
"learning_rate": 3.5889176511804435e-05,
|
913 |
+
"loss": 2.1159,
|
914 |
+
"step": 61000
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 6.44,
|
918 |
+
"eval_bleu": 22.748,
|
919 |
+
"eval_gen_len": 11.572,
|
920 |
+
"eval_loss": 2.419100284576416,
|
921 |
+
"eval_runtime": 148.7046,
|
922 |
+
"eval_samples_per_second": 6.725,
|
923 |
+
"step": 61000
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 6.54,
|
927 |
+
"learning_rate": 3.564588645166313e-05,
|
928 |
+
"loss": 2.1308,
|
929 |
+
"step": 62000
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 6.54,
|
933 |
+
"eval_bleu": 23.2816,
|
934 |
+
"eval_gen_len": 11.449,
|
935 |
+
"eval_loss": 2.397722005844116,
|
936 |
+
"eval_runtime": 132.2002,
|
937 |
+
"eval_samples_per_second": 7.564,
|
938 |
+
"step": 62000
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 6.65,
|
942 |
+
"learning_rate": 3.540259639152183e-05,
|
943 |
+
"loss": 2.1094,
|
944 |
+
"step": 63000
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 6.65,
|
948 |
+
"eval_bleu": 23.3833,
|
949 |
+
"eval_gen_len": 11.243,
|
950 |
+
"eval_loss": 2.4132864475250244,
|
951 |
+
"eval_runtime": 145.191,
|
952 |
+
"eval_samples_per_second": 6.887,
|
953 |
+
"step": 63000
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 6.75,
|
957 |
+
"learning_rate": 3.515930633138052e-05,
|
958 |
+
"loss": 2.1184,
|
959 |
+
"step": 64000
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 6.75,
|
963 |
+
"eval_bleu": 23.7361,
|
964 |
+
"eval_gen_len": 11.172,
|
965 |
+
"eval_loss": 2.3724682331085205,
|
966 |
+
"eval_runtime": 131.0274,
|
967 |
+
"eval_samples_per_second": 7.632,
|
968 |
+
"step": 64000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 6.86,
|
972 |
+
"learning_rate": 3.491601627123922e-05,
|
973 |
+
"loss": 2.1308,
|
974 |
+
"step": 65000
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 6.86,
|
978 |
+
"eval_bleu": 22.8591,
|
979 |
+
"eval_gen_len": 11.63,
|
980 |
+
"eval_loss": 2.3898813724517822,
|
981 |
+
"eval_runtime": 146.2565,
|
982 |
+
"eval_samples_per_second": 6.837,
|
983 |
+
"step": 65000
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 6.96,
|
987 |
+
"learning_rate": 3.467272621109792e-05,
|
988 |
+
"loss": 2.1292,
|
989 |
+
"step": 66000
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 6.96,
|
993 |
+
"eval_bleu": 22.8675,
|
994 |
+
"eval_gen_len": 11.667,
|
995 |
+
"eval_loss": 2.3850231170654297,
|
996 |
+
"eval_runtime": 130.3031,
|
997 |
+
"eval_samples_per_second": 7.674,
|
998 |
+
"step": 66000
|
999 |
+
}
|
1000 |
+
],
|
1001 |
+
"max_steps": 208516,
|
1002 |
+
"num_train_epochs": 22,
|
1003 |
+
"total_flos": 8.109412878134016e+16,
|
1004 |
+
"trial_name": null,
|
1005 |
+
"trial_params": null
|
1006 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6230a94f837c17dc9e61dd74f421a5df63877917e5c4a0a883b1a0c344af6921
|
3 |
+
size 2415
|