yalsaffar commited on
Commit
4e2c103
1 Parent(s): 2d611dd

Upload 12 files

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 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/mt5-small",
3
+ "architectures": [
4
+ "MT5ForConditionalGeneration"
5
+ ],
6
+ "classifier_dropout": 0.0,
7
+ "d_ff": 1024,
8
+ "d_kv": 64,
9
+ "d_model": 512,
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
+ "length_penalty": 0.6,
20
+ "max_length": 128,
21
+ "model_type": "mt5",
22
+ "no_repeat_ngram_size": 2,
23
+ "num_beams": 15,
24
+ "num_decoder_layers": 8,
25
+ "num_heads": 6,
26
+ "num_layers": 8,
27
+ "pad_token_id": 0,
28
+ "relative_attention_max_distance": 128,
29
+ "relative_attention_num_buckets": 32,
30
+ "tie_word_embeddings": false,
31
+ "tokenizer_class": "T5Tokenizer",
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.37.0",
34
+ "use_cache": true,
35
+ "vocab_size": 250112
36
+ }
generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "decoder_start_token_id": 0,
3
+ "eos_token_id": 1,
4
+ "length_penalty": 0.6,
5
+ "max_length": 128,
6
+ "no_repeat_ngram_size": 2,
7
+ "num_beams": 15,
8
+ "pad_token_id": 0,
9
+ "transformers_version": "4.37.0"
10
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2972b3039fb18bcc8094984dfa44b597885d115e5b6a54cd70f4eeafcc0af1fa
3
+ size 1200729512
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f832cb364dde559d5e297ac0c214178ac32643f96f21552d5914571ad7ded8c3
3
+ size 2879866
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ed38ae69ed750830b0b9b3d3bd8c12c9dec26eff006a895844abf0707f7af3a
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80ca13fa48f302fc8caf4e693db070792a08d5233b24935994930e3191e65a84
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "eos_token": {
3
+ "content": "</s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "pad_token": {
10
+ "content": "<pad>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "unk_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
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 sha256:87a036c0dfd2d80e1202a7e2961aeee653ff63d67cd369b155c78a6e2003a390
3
+ size 16330562
tokenizer_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<pad>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "</s>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "<unk>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ }
27
+ },
28
+ "additional_special_tokens": [],
29
+ "clean_up_tokenization_spaces": true,
30
+ "eos_token": "</s>",
31
+ "extra_ids": 0,
32
+ "legacy": true,
33
+ "model_max_length": 1000000000000000019884624838656,
34
+ "pad_token": "<pad>",
35
+ "sp_model_kwargs": {},
36
+ "tokenizer_class": "T5Tokenizer",
37
+ "unk_token": "<unk>"
38
+ }
trainer_state.json ADDED
@@ -0,0 +1,3261 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 9.0,
5
+ "eval_steps": 100,
6
+ "global_step": 4500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "learning_rate": 5.555555555555555e-05,
14
+ "loss": 41.2711,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.04,
19
+ "learning_rate": 0.0001111111111111111,
20
+ "loss": 36.9402,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.06,
25
+ "learning_rate": 0.00016666666666666666,
26
+ "loss": 30.5965,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.08,
31
+ "learning_rate": 0.0002222222222222222,
32
+ "loss": 25.168,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.1,
37
+ "learning_rate": 0.0002777777777777778,
38
+ "loss": 20.2342,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.12,
43
+ "learning_rate": 0.0003333333333333333,
44
+ "loss": 15.0822,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.14,
49
+ "learning_rate": 0.0003888888888888889,
50
+ "loss": 10.8182,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.16,
55
+ "learning_rate": 0.0004444444444444444,
56
+ "loss": 7.5259,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.18,
61
+ "learning_rate": 0.0005,
62
+ "loss": 5.6658,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.2,
67
+ "learning_rate": 0.0004989816700610998,
68
+ "loss": 4.1956,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.2,
73
+ "eval_loss": 3.1490368843078613,
74
+ "eval_rouge1": 0.15401031761230216,
75
+ "eval_rouge2": 0.06183084855722348,
76
+ "eval_rougeL": 0.1487638574423534,
77
+ "eval_rougeLsum": 0.1488931379114581,
78
+ "eval_runtime": 12.0897,
79
+ "eval_samples_per_second": 1.654,
80
+ "eval_steps_per_second": 0.827,
81
+ "step": 100
82
+ },
83
+ {
84
+ "epoch": 0.22,
85
+ "learning_rate": 0.0004979633401221996,
86
+ "loss": 3.6249,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.24,
91
+ "learning_rate": 0.0004969450101832995,
92
+ "loss": 3.271,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.26,
97
+ "learning_rate": 0.0004959266802443992,
98
+ "loss": 3.1977,
99
+ "step": 130
100
+ },
101
+ {
102
+ "epoch": 0.28,
103
+ "learning_rate": 0.000494908350305499,
104
+ "loss": 2.8583,
105
+ "step": 140
106
+ },
107
+ {
108
+ "epoch": 0.3,
109
+ "learning_rate": 0.0004938900203665988,
110
+ "loss": 2.5156,
111
+ "step": 150
112
+ },
113
+ {
114
+ "epoch": 0.32,
115
+ "learning_rate": 0.0004928716904276986,
116
+ "loss": 2.1851,
117
+ "step": 160
118
+ },
119
+ {
120
+ "epoch": 0.34,
121
+ "learning_rate": 0.0004918533604887983,
122
+ "loss": 1.9845,
123
+ "step": 170
124
+ },
125
+ {
126
+ "epoch": 0.36,
127
+ "learning_rate": 0.0004908350305498982,
128
+ "loss": 1.8303,
129
+ "step": 180
130
+ },
131
+ {
132
+ "epoch": 0.38,
133
+ "learning_rate": 0.0004898167006109979,
134
+ "loss": 1.7903,
135
+ "step": 190
136
+ },
137
+ {
138
+ "epoch": 0.4,
139
+ "learning_rate": 0.0004887983706720978,
140
+ "loss": 1.7158,
141
+ "step": 200
142
+ },
143
+ {
144
+ "epoch": 0.4,
145
+ "eval_loss": 1.259326696395874,
146
+ "eval_rouge1": 0.3038539506809194,
147
+ "eval_rouge2": 0.1446061100175765,
148
+ "eval_rougeL": 0.2647138754144953,
149
+ "eval_rougeLsum": 0.26637210414553936,
150
+ "eval_runtime": 18.5868,
151
+ "eval_samples_per_second": 1.076,
152
+ "eval_steps_per_second": 0.538,
153
+ "step": 200
154
+ },
155
+ {
156
+ "epoch": 0.42,
157
+ "learning_rate": 0.0004877800407331975,
158
+ "loss": 1.7002,
159
+ "step": 210
160
+ },
161
+ {
162
+ "epoch": 0.44,
163
+ "learning_rate": 0.0004867617107942974,
164
+ "loss": 1.6374,
165
+ "step": 220
166
+ },
167
+ {
168
+ "epoch": 0.46,
169
+ "learning_rate": 0.00048574338085539715,
170
+ "loss": 1.7013,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.48,
175
+ "learning_rate": 0.0004847250509164969,
176
+ "loss": 1.624,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.5,
181
+ "learning_rate": 0.0004837067209775968,
182
+ "loss": 1.6216,
183
+ "step": 250
184
+ },
185
+ {
186
+ "epoch": 0.52,
187
+ "learning_rate": 0.00048268839103869654,
188
+ "loss": 1.5784,
189
+ "step": 260
190
+ },
191
+ {
192
+ "epoch": 0.54,
193
+ "learning_rate": 0.00048167006109979635,
194
+ "loss": 1.5394,
195
+ "step": 270
196
+ },
197
+ {
198
+ "epoch": 0.56,
199
+ "learning_rate": 0.00048065173116089617,
200
+ "loss": 1.5302,
201
+ "step": 280
202
+ },
203
+ {
204
+ "epoch": 0.58,
205
+ "learning_rate": 0.00047963340122199593,
206
+ "loss": 1.5071,
207
+ "step": 290
208
+ },
209
+ {
210
+ "epoch": 0.6,
211
+ "learning_rate": 0.00047861507128309574,
212
+ "loss": 1.526,
213
+ "step": 300
214
+ },
215
+ {
216
+ "epoch": 0.6,
217
+ "eval_loss": 1.1715915203094482,
218
+ "eval_rouge1": 0.29557394630545675,
219
+ "eval_rouge2": 0.1360179746171492,
220
+ "eval_rougeL": 0.25515731019715504,
221
+ "eval_rougeLsum": 0.25695835000784906,
222
+ "eval_runtime": 27.3621,
223
+ "eval_samples_per_second": 0.731,
224
+ "eval_steps_per_second": 0.365,
225
+ "step": 300
226
+ },
227
+ {
228
+ "epoch": 0.62,
229
+ "learning_rate": 0.0004775967413441955,
230
+ "loss": 1.4737,
231
+ "step": 310
232
+ },
233
+ {
234
+ "epoch": 0.64,
235
+ "learning_rate": 0.0004765784114052953,
236
+ "loss": 1.4955,
237
+ "step": 320
238
+ },
239
+ {
240
+ "epoch": 0.66,
241
+ "learning_rate": 0.00047556008146639513,
242
+ "loss": 1.4392,
243
+ "step": 330
244
+ },
245
+ {
246
+ "epoch": 0.68,
247
+ "learning_rate": 0.0004745417515274949,
248
+ "loss": 1.4535,
249
+ "step": 340
250
+ },
251
+ {
252
+ "epoch": 0.7,
253
+ "learning_rate": 0.00047352342158859476,
254
+ "loss": 1.4625,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.72,
259
+ "learning_rate": 0.0004725050916496945,
260
+ "loss": 1.4353,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.74,
265
+ "learning_rate": 0.0004714867617107943,
266
+ "loss": 1.4088,
267
+ "step": 370
268
+ },
269
+ {
270
+ "epoch": 0.76,
271
+ "learning_rate": 0.0004704684317718941,
272
+ "loss": 1.4472,
273
+ "step": 380
274
+ },
275
+ {
276
+ "epoch": 0.78,
277
+ "learning_rate": 0.0004694501018329939,
278
+ "loss": 1.4318,
279
+ "step": 390
280
+ },
281
+ {
282
+ "epoch": 0.8,
283
+ "learning_rate": 0.0004684317718940937,
284
+ "loss": 1.4318,
285
+ "step": 400
286
+ },
287
+ {
288
+ "epoch": 0.8,
289
+ "eval_loss": 1.1233234405517578,
290
+ "eval_rouge1": 0.33840282066392835,
291
+ "eval_rouge2": 0.16041046986254748,
292
+ "eval_rougeL": 0.2758850020825072,
293
+ "eval_rougeLsum": 0.27526491091998107,
294
+ "eval_runtime": 25.6589,
295
+ "eval_samples_per_second": 0.779,
296
+ "eval_steps_per_second": 0.39,
297
+ "step": 400
298
+ },
299
+ {
300
+ "epoch": 0.82,
301
+ "learning_rate": 0.0004674134419551935,
302
+ "loss": 1.3872,
303
+ "step": 410
304
+ },
305
+ {
306
+ "epoch": 0.84,
307
+ "learning_rate": 0.0004663951120162933,
308
+ "loss": 1.4539,
309
+ "step": 420
310
+ },
311
+ {
312
+ "epoch": 0.86,
313
+ "learning_rate": 0.00046537678207739307,
314
+ "loss": 1.4651,
315
+ "step": 430
316
+ },
317
+ {
318
+ "epoch": 0.88,
319
+ "learning_rate": 0.0004643584521384929,
320
+ "loss": 1.3875,
321
+ "step": 440
322
+ },
323
+ {
324
+ "epoch": 0.9,
325
+ "learning_rate": 0.00046334012219959264,
326
+ "loss": 1.4463,
327
+ "step": 450
328
+ },
329
+ {
330
+ "epoch": 0.92,
331
+ "learning_rate": 0.0004623217922606925,
332
+ "loss": 1.4106,
333
+ "step": 460
334
+ },
335
+ {
336
+ "epoch": 0.94,
337
+ "learning_rate": 0.00046130346232179227,
338
+ "loss": 1.3987,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.96,
343
+ "learning_rate": 0.00046028513238289203,
344
+ "loss": 1.4239,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.98,
349
+ "learning_rate": 0.0004592668024439919,
350
+ "loss": 1.4184,
351
+ "step": 490
352
+ },
353
+ {
354
+ "epoch": 1.0,
355
+ "learning_rate": 0.00045824847250509166,
356
+ "loss": 1.438,
357
+ "step": 500
358
+ },
359
+ {
360
+ "epoch": 1.0,
361
+ "eval_loss": 1.0997542142868042,
362
+ "eval_rouge1": 0.31808868620058295,
363
+ "eval_rouge2": 0.15095978898822576,
364
+ "eval_rougeL": 0.2758976305910347,
365
+ "eval_rougeLsum": 0.2783141924283456,
366
+ "eval_runtime": 24.4917,
367
+ "eval_samples_per_second": 0.817,
368
+ "eval_steps_per_second": 0.408,
369
+ "step": 500
370
+ },
371
+ {
372
+ "epoch": 1.02,
373
+ "learning_rate": 0.0004572301425661914,
374
+ "loss": 1.3892,
375
+ "step": 510
376
+ },
377
+ {
378
+ "epoch": 1.04,
379
+ "learning_rate": 0.0004562118126272913,
380
+ "loss": 1.3238,
381
+ "step": 520
382
+ },
383
+ {
384
+ "epoch": 1.06,
385
+ "learning_rate": 0.00045519348268839105,
386
+ "loss": 1.3365,
387
+ "step": 530
388
+ },
389
+ {
390
+ "epoch": 1.08,
391
+ "learning_rate": 0.0004541751527494908,
392
+ "loss": 1.3769,
393
+ "step": 540
394
+ },
395
+ {
396
+ "epoch": 1.1,
397
+ "learning_rate": 0.0004531568228105906,
398
+ "loss": 1.337,
399
+ "step": 550
400
+ },
401
+ {
402
+ "epoch": 1.12,
403
+ "learning_rate": 0.00045213849287169044,
404
+ "loss": 1.3606,
405
+ "step": 560
406
+ },
407
+ {
408
+ "epoch": 1.14,
409
+ "learning_rate": 0.00045112016293279026,
410
+ "loss": 1.3643,
411
+ "step": 570
412
+ },
413
+ {
414
+ "epoch": 1.16,
415
+ "learning_rate": 0.00045010183299389,
416
+ "loss": 1.297,
417
+ "step": 580
418
+ },
419
+ {
420
+ "epoch": 1.18,
421
+ "learning_rate": 0.00044908350305498983,
422
+ "loss": 1.3871,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 1.2,
427
+ "learning_rate": 0.00044806517311608965,
428
+ "loss": 1.3163,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 1.2,
433
+ "eval_loss": 1.0784223079681396,
434
+ "eval_rouge1": 0.3334137177907346,
435
+ "eval_rouge2": 0.15261190778459077,
436
+ "eval_rougeL": 0.2719649985784092,
437
+ "eval_rougeLsum": 0.27272497195004963,
438
+ "eval_runtime": 21.6088,
439
+ "eval_samples_per_second": 0.926,
440
+ "eval_steps_per_second": 0.463,
441
+ "step": 600
442
+ },
443
+ {
444
+ "epoch": 1.22,
445
+ "learning_rate": 0.0004470468431771894,
446
+ "loss": 1.3417,
447
+ "step": 610
448
+ },
449
+ {
450
+ "epoch": 1.24,
451
+ "learning_rate": 0.00044602851323828917,
452
+ "loss": 1.3073,
453
+ "step": 620
454
+ },
455
+ {
456
+ "epoch": 1.26,
457
+ "learning_rate": 0.00044501018329938904,
458
+ "loss": 1.3036,
459
+ "step": 630
460
+ },
461
+ {
462
+ "epoch": 1.28,
463
+ "learning_rate": 0.0004439918533604888,
464
+ "loss": 1.3535,
465
+ "step": 640
466
+ },
467
+ {
468
+ "epoch": 1.3,
469
+ "learning_rate": 0.0004429735234215886,
470
+ "loss": 1.334,
471
+ "step": 650
472
+ },
473
+ {
474
+ "epoch": 1.32,
475
+ "learning_rate": 0.00044195519348268843,
476
+ "loss": 1.372,
477
+ "step": 660
478
+ },
479
+ {
480
+ "epoch": 1.34,
481
+ "learning_rate": 0.0004409368635437882,
482
+ "loss": 1.3312,
483
+ "step": 670
484
+ },
485
+ {
486
+ "epoch": 1.36,
487
+ "learning_rate": 0.000439918533604888,
488
+ "loss": 1.3126,
489
+ "step": 680
490
+ },
491
+ {
492
+ "epoch": 1.38,
493
+ "learning_rate": 0.00043890020366598776,
494
+ "loss": 1.3103,
495
+ "step": 690
496
+ },
497
+ {
498
+ "epoch": 1.4,
499
+ "learning_rate": 0.0004378818737270876,
500
+ "loss": 1.3625,
501
+ "step": 700
502
+ },
503
+ {
504
+ "epoch": 1.4,
505
+ "eval_loss": 1.0480375289916992,
506
+ "eval_rouge1": 0.3252587017685009,
507
+ "eval_rouge2": 0.14695387868011492,
508
+ "eval_rougeL": 0.2819448898014987,
509
+ "eval_rougeLsum": 0.2825983453315859,
510
+ "eval_runtime": 21.3066,
511
+ "eval_samples_per_second": 0.939,
512
+ "eval_steps_per_second": 0.469,
513
+ "step": 700
514
+ },
515
+ {
516
+ "epoch": 1.42,
517
+ "learning_rate": 0.0004368635437881874,
518
+ "loss": 1.3607,
519
+ "step": 710
520
+ },
521
+ {
522
+ "epoch": 1.44,
523
+ "learning_rate": 0.00043584521384928715,
524
+ "loss": 1.3053,
525
+ "step": 720
526
+ },
527
+ {
528
+ "epoch": 1.46,
529
+ "learning_rate": 0.00043482688391038697,
530
+ "loss": 1.306,
531
+ "step": 730
532
+ },
533
+ {
534
+ "epoch": 1.48,
535
+ "learning_rate": 0.0004338085539714868,
536
+ "loss": 1.3133,
537
+ "step": 740
538
+ },
539
+ {
540
+ "epoch": 1.5,
541
+ "learning_rate": 0.00043279022403258654,
542
+ "loss": 1.3261,
543
+ "step": 750
544
+ },
545
+ {
546
+ "epoch": 1.52,
547
+ "learning_rate": 0.0004317718940936864,
548
+ "loss": 1.2707,
549
+ "step": 760
550
+ },
551
+ {
552
+ "epoch": 1.54,
553
+ "learning_rate": 0.0004307535641547862,
554
+ "loss": 1.305,
555
+ "step": 770
556
+ },
557
+ {
558
+ "epoch": 1.56,
559
+ "learning_rate": 0.00042973523421588593,
560
+ "loss": 1.3298,
561
+ "step": 780
562
+ },
563
+ {
564
+ "epoch": 1.58,
565
+ "learning_rate": 0.00042871690427698575,
566
+ "loss": 1.295,
567
+ "step": 790
568
+ },
569
+ {
570
+ "epoch": 1.6,
571
+ "learning_rate": 0.00042769857433808556,
572
+ "loss": 1.3147,
573
+ "step": 800
574
+ },
575
+ {
576
+ "epoch": 1.6,
577
+ "eval_loss": 1.0463201999664307,
578
+ "eval_rouge1": 0.3472651013247176,
579
+ "eval_rouge2": 0.16642476533004819,
580
+ "eval_rougeL": 0.2866317550606935,
581
+ "eval_rougeLsum": 0.2880956525742435,
582
+ "eval_runtime": 23.4232,
583
+ "eval_samples_per_second": 0.854,
584
+ "eval_steps_per_second": 0.427,
585
+ "step": 800
586
+ },
587
+ {
588
+ "epoch": 1.62,
589
+ "learning_rate": 0.0004266802443991853,
590
+ "loss": 1.258,
591
+ "step": 810
592
+ },
593
+ {
594
+ "epoch": 1.64,
595
+ "learning_rate": 0.00042566191446028514,
596
+ "loss": 1.3465,
597
+ "step": 820
598
+ },
599
+ {
600
+ "epoch": 1.66,
601
+ "learning_rate": 0.00042464358452138495,
602
+ "loss": 1.3383,
603
+ "step": 830
604
+ },
605
+ {
606
+ "epoch": 1.68,
607
+ "learning_rate": 0.0004236252545824847,
608
+ "loss": 1.2732,
609
+ "step": 840
610
+ },
611
+ {
612
+ "epoch": 1.7,
613
+ "learning_rate": 0.00042260692464358453,
614
+ "loss": 1.2712,
615
+ "step": 850
616
+ },
617
+ {
618
+ "epoch": 1.72,
619
+ "learning_rate": 0.0004215885947046843,
620
+ "loss": 1.2621,
621
+ "step": 860
622
+ },
623
+ {
624
+ "epoch": 1.74,
625
+ "learning_rate": 0.00042057026476578416,
626
+ "loss": 1.2981,
627
+ "step": 870
628
+ },
629
+ {
630
+ "epoch": 1.76,
631
+ "learning_rate": 0.0004195519348268839,
632
+ "loss": 1.3079,
633
+ "step": 880
634
+ },
635
+ {
636
+ "epoch": 1.78,
637
+ "learning_rate": 0.0004185336048879837,
638
+ "loss": 1.3029,
639
+ "step": 890
640
+ },
641
+ {
642
+ "epoch": 1.8,
643
+ "learning_rate": 0.00041751527494908355,
644
+ "loss": 1.2826,
645
+ "step": 900
646
+ },
647
+ {
648
+ "epoch": 1.8,
649
+ "eval_loss": 1.0260637998580933,
650
+ "eval_rouge1": 0.3271562809197811,
651
+ "eval_rouge2": 0.14988747443733796,
652
+ "eval_rougeL": 0.27055113042556145,
653
+ "eval_rougeLsum": 0.27258271275088874,
654
+ "eval_runtime": 21.6038,
655
+ "eval_samples_per_second": 0.926,
656
+ "eval_steps_per_second": 0.463,
657
+ "step": 900
658
+ },
659
+ {
660
+ "epoch": 1.82,
661
+ "learning_rate": 0.0004164969450101833,
662
+ "loss": 1.296,
663
+ "step": 910
664
+ },
665
+ {
666
+ "epoch": 1.84,
667
+ "learning_rate": 0.00041547861507128307,
668
+ "loss": 1.2451,
669
+ "step": 920
670
+ },
671
+ {
672
+ "epoch": 1.86,
673
+ "learning_rate": 0.0004144602851323829,
674
+ "loss": 1.2716,
675
+ "step": 930
676
+ },
677
+ {
678
+ "epoch": 1.88,
679
+ "learning_rate": 0.0004134419551934827,
680
+ "loss": 1.2908,
681
+ "step": 940
682
+ },
683
+ {
684
+ "epoch": 1.9,
685
+ "learning_rate": 0.0004124236252545825,
686
+ "loss": 1.2433,
687
+ "step": 950
688
+ },
689
+ {
690
+ "epoch": 1.92,
691
+ "learning_rate": 0.0004114052953156823,
692
+ "loss": 1.2606,
693
+ "step": 960
694
+ },
695
+ {
696
+ "epoch": 1.94,
697
+ "learning_rate": 0.0004103869653767821,
698
+ "loss": 1.2975,
699
+ "step": 970
700
+ },
701
+ {
702
+ "epoch": 1.96,
703
+ "learning_rate": 0.0004093686354378819,
704
+ "loss": 1.245,
705
+ "step": 980
706
+ },
707
+ {
708
+ "epoch": 1.98,
709
+ "learning_rate": 0.00040835030549898167,
710
+ "loss": 1.2774,
711
+ "step": 990
712
+ },
713
+ {
714
+ "epoch": 2.0,
715
+ "learning_rate": 0.0004073319755600815,
716
+ "loss": 1.297,
717
+ "step": 1000
718
+ },
719
+ {
720
+ "epoch": 2.0,
721
+ "eval_loss": 1.02230966091156,
722
+ "eval_rouge1": 0.33765263015500535,
723
+ "eval_rouge2": 0.16173841205100162,
724
+ "eval_rougeL": 0.2891261055238028,
725
+ "eval_rougeLsum": 0.2913636739603367,
726
+ "eval_runtime": 21.7283,
727
+ "eval_samples_per_second": 0.92,
728
+ "eval_steps_per_second": 0.46,
729
+ "step": 1000
730
+ },
731
+ {
732
+ "epoch": 2.02,
733
+ "learning_rate": 0.0004063136456211813,
734
+ "loss": 1.2437,
735
+ "step": 1010
736
+ },
737
+ {
738
+ "epoch": 2.04,
739
+ "learning_rate": 0.00040529531568228106,
740
+ "loss": 1.228,
741
+ "step": 1020
742
+ },
743
+ {
744
+ "epoch": 2.06,
745
+ "learning_rate": 0.0004042769857433808,
746
+ "loss": 1.1951,
747
+ "step": 1030
748
+ },
749
+ {
750
+ "epoch": 2.08,
751
+ "learning_rate": 0.0004032586558044807,
752
+ "loss": 1.205,
753
+ "step": 1040
754
+ },
755
+ {
756
+ "epoch": 2.1,
757
+ "learning_rate": 0.00040224032586558045,
758
+ "loss": 1.2154,
759
+ "step": 1050
760
+ },
761
+ {
762
+ "epoch": 2.12,
763
+ "learning_rate": 0.00040122199592668026,
764
+ "loss": 1.2449,
765
+ "step": 1060
766
+ },
767
+ {
768
+ "epoch": 2.14,
769
+ "learning_rate": 0.0004002036659877801,
770
+ "loss": 1.2331,
771
+ "step": 1070
772
+ },
773
+ {
774
+ "epoch": 2.16,
775
+ "learning_rate": 0.00039918533604887984,
776
+ "loss": 1.1912,
777
+ "step": 1080
778
+ },
779
+ {
780
+ "epoch": 2.18,
781
+ "learning_rate": 0.00039816700610997965,
782
+ "loss": 1.2084,
783
+ "step": 1090
784
+ },
785
+ {
786
+ "epoch": 2.2,
787
+ "learning_rate": 0.0003971486761710794,
788
+ "loss": 1.2038,
789
+ "step": 1100
790
+ },
791
+ {
792
+ "epoch": 2.2,
793
+ "eval_loss": 1.014428973197937,
794
+ "eval_rouge1": 0.32994381772002457,
795
+ "eval_rouge2": 0.1560313842830252,
796
+ "eval_rougeL": 0.2757795040195402,
797
+ "eval_rougeLsum": 0.27717385084380153,
798
+ "eval_runtime": 21.4325,
799
+ "eval_samples_per_second": 0.933,
800
+ "eval_steps_per_second": 0.467,
801
+ "step": 1100
802
+ },
803
+ {
804
+ "epoch": 2.22,
805
+ "learning_rate": 0.00039613034623217923,
806
+ "loss": 1.281,
807
+ "step": 1110
808
+ },
809
+ {
810
+ "epoch": 2.24,
811
+ "learning_rate": 0.00039511201629327904,
812
+ "loss": 1.1934,
813
+ "step": 1120
814
+ },
815
+ {
816
+ "epoch": 2.26,
817
+ "learning_rate": 0.0003940936863543788,
818
+ "loss": 1.2564,
819
+ "step": 1130
820
+ },
821
+ {
822
+ "epoch": 2.28,
823
+ "learning_rate": 0.0003930753564154787,
824
+ "loss": 1.2175,
825
+ "step": 1140
826
+ },
827
+ {
828
+ "epoch": 2.3,
829
+ "learning_rate": 0.00039205702647657843,
830
+ "loss": 1.2252,
831
+ "step": 1150
832
+ },
833
+ {
834
+ "epoch": 2.32,
835
+ "learning_rate": 0.0003910386965376782,
836
+ "loss": 1.2343,
837
+ "step": 1160
838
+ },
839
+ {
840
+ "epoch": 2.34,
841
+ "learning_rate": 0.000390020366598778,
842
+ "loss": 1.2715,
843
+ "step": 1170
844
+ },
845
+ {
846
+ "epoch": 2.36,
847
+ "learning_rate": 0.0003890020366598778,
848
+ "loss": 1.2275,
849
+ "step": 1180
850
+ },
851
+ {
852
+ "epoch": 2.38,
853
+ "learning_rate": 0.0003879837067209776,
854
+ "loss": 1.2482,
855
+ "step": 1190
856
+ },
857
+ {
858
+ "epoch": 2.4,
859
+ "learning_rate": 0.0003869653767820774,
860
+ "loss": 1.2617,
861
+ "step": 1200
862
+ },
863
+ {
864
+ "epoch": 2.4,
865
+ "eval_loss": 0.9945599436759949,
866
+ "eval_rouge1": 0.34311982189768164,
867
+ "eval_rouge2": 0.16176698655947228,
868
+ "eval_rougeL": 0.2933063191954748,
869
+ "eval_rougeLsum": 0.29522199653692416,
870
+ "eval_runtime": 20.2751,
871
+ "eval_samples_per_second": 0.986,
872
+ "eval_steps_per_second": 0.493,
873
+ "step": 1200
874
+ },
875
+ {
876
+ "epoch": 2.42,
877
+ "learning_rate": 0.0003859470468431772,
878
+ "loss": 1.19,
879
+ "step": 1210
880
+ },
881
+ {
882
+ "epoch": 2.44,
883
+ "learning_rate": 0.000384928716904277,
884
+ "loss": 1.2462,
885
+ "step": 1220
886
+ },
887
+ {
888
+ "epoch": 2.46,
889
+ "learning_rate": 0.0003839103869653768,
890
+ "loss": 1.2387,
891
+ "step": 1230
892
+ },
893
+ {
894
+ "epoch": 2.48,
895
+ "learning_rate": 0.00038289205702647655,
896
+ "loss": 1.2516,
897
+ "step": 1240
898
+ },
899
+ {
900
+ "epoch": 2.5,
901
+ "learning_rate": 0.0003818737270875764,
902
+ "loss": 1.2543,
903
+ "step": 1250
904
+ },
905
+ {
906
+ "epoch": 2.52,
907
+ "learning_rate": 0.0003808553971486762,
908
+ "loss": 1.246,
909
+ "step": 1260
910
+ },
911
+ {
912
+ "epoch": 2.54,
913
+ "learning_rate": 0.00037983706720977594,
914
+ "loss": 1.2356,
915
+ "step": 1270
916
+ },
917
+ {
918
+ "epoch": 2.56,
919
+ "learning_rate": 0.0003788187372708758,
920
+ "loss": 1.2301,
921
+ "step": 1280
922
+ },
923
+ {
924
+ "epoch": 2.58,
925
+ "learning_rate": 0.00037780040733197557,
926
+ "loss": 1.2465,
927
+ "step": 1290
928
+ },
929
+ {
930
+ "epoch": 2.6,
931
+ "learning_rate": 0.00037678207739307533,
932
+ "loss": 1.2219,
933
+ "step": 1300
934
+ },
935
+ {
936
+ "epoch": 2.6,
937
+ "eval_loss": 0.9984191656112671,
938
+ "eval_rouge1": 0.35530591683468205,
939
+ "eval_rouge2": 0.1738300131149214,
940
+ "eval_rougeL": 0.3007508066988732,
941
+ "eval_rougeLsum": 0.30111433503149587,
942
+ "eval_runtime": 21.0854,
943
+ "eval_samples_per_second": 0.949,
944
+ "eval_steps_per_second": 0.474,
945
+ "step": 1300
946
+ },
947
+ {
948
+ "epoch": 2.62,
949
+ "learning_rate": 0.0003757637474541752,
950
+ "loss": 1.2142,
951
+ "step": 1310
952
+ },
953
+ {
954
+ "epoch": 2.64,
955
+ "learning_rate": 0.00037474541751527496,
956
+ "loss": 1.1964,
957
+ "step": 1320
958
+ },
959
+ {
960
+ "epoch": 2.66,
961
+ "learning_rate": 0.0003737270875763747,
962
+ "loss": 1.2053,
963
+ "step": 1330
964
+ },
965
+ {
966
+ "epoch": 2.68,
967
+ "learning_rate": 0.00037270875763747454,
968
+ "loss": 1.2118,
969
+ "step": 1340
970
+ },
971
+ {
972
+ "epoch": 2.7,
973
+ "learning_rate": 0.00037169042769857435,
974
+ "loss": 1.1915,
975
+ "step": 1350
976
+ },
977
+ {
978
+ "epoch": 2.72,
979
+ "learning_rate": 0.00037067209775967417,
980
+ "loss": 1.2272,
981
+ "step": 1360
982
+ },
983
+ {
984
+ "epoch": 2.74,
985
+ "learning_rate": 0.00036965376782077393,
986
+ "loss": 1.1926,
987
+ "step": 1370
988
+ },
989
+ {
990
+ "epoch": 2.76,
991
+ "learning_rate": 0.00036863543788187374,
992
+ "loss": 1.2056,
993
+ "step": 1380
994
+ },
995
+ {
996
+ "epoch": 2.78,
997
+ "learning_rate": 0.00036761710794297356,
998
+ "loss": 1.1868,
999
+ "step": 1390
1000
+ },
1001
+ {
1002
+ "epoch": 2.8,
1003
+ "learning_rate": 0.0003665987780040733,
1004
+ "loss": 1.1906,
1005
+ "step": 1400
1006
+ },
1007
+ {
1008
+ "epoch": 2.8,
1009
+ "eval_loss": 0.9987648129463196,
1010
+ "eval_rouge1": 0.3497044345695397,
1011
+ "eval_rouge2": 0.17488344746541123,
1012
+ "eval_rougeL": 0.2920352923144545,
1013
+ "eval_rougeLsum": 0.2936840461100848,
1014
+ "eval_runtime": 20.5611,
1015
+ "eval_samples_per_second": 0.973,
1016
+ "eval_steps_per_second": 0.486,
1017
+ "step": 1400
1018
+ },
1019
+ {
1020
+ "epoch": 2.82,
1021
+ "learning_rate": 0.0003655804480651731,
1022
+ "loss": 1.1981,
1023
+ "step": 1410
1024
+ },
1025
+ {
1026
+ "epoch": 2.84,
1027
+ "learning_rate": 0.00036456211812627295,
1028
+ "loss": 1.2079,
1029
+ "step": 1420
1030
+ },
1031
+ {
1032
+ "epoch": 2.86,
1033
+ "learning_rate": 0.0003635437881873727,
1034
+ "loss": 1.2036,
1035
+ "step": 1430
1036
+ },
1037
+ {
1038
+ "epoch": 2.88,
1039
+ "learning_rate": 0.00036252545824847247,
1040
+ "loss": 1.1892,
1041
+ "step": 1440
1042
+ },
1043
+ {
1044
+ "epoch": 2.9,
1045
+ "learning_rate": 0.00036150712830957234,
1046
+ "loss": 1.2223,
1047
+ "step": 1450
1048
+ },
1049
+ {
1050
+ "epoch": 2.92,
1051
+ "learning_rate": 0.0003604887983706721,
1052
+ "loss": 1.2214,
1053
+ "step": 1460
1054
+ },
1055
+ {
1056
+ "epoch": 2.94,
1057
+ "learning_rate": 0.0003594704684317719,
1058
+ "loss": 1.2206,
1059
+ "step": 1470
1060
+ },
1061
+ {
1062
+ "epoch": 2.96,
1063
+ "learning_rate": 0.0003584521384928717,
1064
+ "loss": 1.2218,
1065
+ "step": 1480
1066
+ },
1067
+ {
1068
+ "epoch": 2.98,
1069
+ "learning_rate": 0.0003574338085539715,
1070
+ "loss": 1.1856,
1071
+ "step": 1490
1072
+ },
1073
+ {
1074
+ "epoch": 3.0,
1075
+ "learning_rate": 0.0003564154786150713,
1076
+ "loss": 1.2303,
1077
+ "step": 1500
1078
+ },
1079
+ {
1080
+ "epoch": 3.0,
1081
+ "eval_loss": 0.9856168031692505,
1082
+ "eval_rouge1": 0.3750110269055352,
1083
+ "eval_rouge2": 0.17459799489090816,
1084
+ "eval_rougeL": 0.3003592834064919,
1085
+ "eval_rougeLsum": 0.30119936143252757,
1086
+ "eval_runtime": 23.4082,
1087
+ "eval_samples_per_second": 0.854,
1088
+ "eval_steps_per_second": 0.427,
1089
+ "step": 1500
1090
+ },
1091
+ {
1092
+ "epoch": 3.02,
1093
+ "learning_rate": 0.00035539714867617106,
1094
+ "loss": 1.1498,
1095
+ "step": 1510
1096
+ },
1097
+ {
1098
+ "epoch": 3.04,
1099
+ "learning_rate": 0.0003543788187372709,
1100
+ "loss": 1.2083,
1101
+ "step": 1520
1102
+ },
1103
+ {
1104
+ "epoch": 3.06,
1105
+ "learning_rate": 0.0003533604887983707,
1106
+ "loss": 1.2291,
1107
+ "step": 1530
1108
+ },
1109
+ {
1110
+ "epoch": 3.08,
1111
+ "learning_rate": 0.00035234215885947045,
1112
+ "loss": 1.1733,
1113
+ "step": 1540
1114
+ },
1115
+ {
1116
+ "epoch": 3.1,
1117
+ "learning_rate": 0.0003513238289205703,
1118
+ "loss": 1.1716,
1119
+ "step": 1550
1120
+ },
1121
+ {
1122
+ "epoch": 3.12,
1123
+ "learning_rate": 0.0003503054989816701,
1124
+ "loss": 1.1657,
1125
+ "step": 1560
1126
+ },
1127
+ {
1128
+ "epoch": 3.14,
1129
+ "learning_rate": 0.00034928716904276985,
1130
+ "loss": 1.1538,
1131
+ "step": 1570
1132
+ },
1133
+ {
1134
+ "epoch": 3.16,
1135
+ "learning_rate": 0.00034826883910386966,
1136
+ "loss": 1.1579,
1137
+ "step": 1580
1138
+ },
1139
+ {
1140
+ "epoch": 3.18,
1141
+ "learning_rate": 0.0003472505091649695,
1142
+ "loss": 1.1945,
1143
+ "step": 1590
1144
+ },
1145
+ {
1146
+ "epoch": 3.2,
1147
+ "learning_rate": 0.00034623217922606924,
1148
+ "loss": 1.18,
1149
+ "step": 1600
1150
+ },
1151
+ {
1152
+ "epoch": 3.2,
1153
+ "eval_loss": 0.9823005795478821,
1154
+ "eval_rouge1": 0.35334084985835634,
1155
+ "eval_rouge2": 0.1773564424695835,
1156
+ "eval_rougeL": 0.30516391982892244,
1157
+ "eval_rougeLsum": 0.30596841516938367,
1158
+ "eval_runtime": 22.0682,
1159
+ "eval_samples_per_second": 0.906,
1160
+ "eval_steps_per_second": 0.453,
1161
+ "step": 1600
1162
+ },
1163
+ {
1164
+ "epoch": 3.22,
1165
+ "learning_rate": 0.00034521384928716905,
1166
+ "loss": 1.1782,
1167
+ "step": 1610
1168
+ },
1169
+ {
1170
+ "epoch": 3.24,
1171
+ "learning_rate": 0.00034419551934826887,
1172
+ "loss": 1.2039,
1173
+ "step": 1620
1174
+ },
1175
+ {
1176
+ "epoch": 3.26,
1177
+ "learning_rate": 0.0003431771894093686,
1178
+ "loss": 1.1961,
1179
+ "step": 1630
1180
+ },
1181
+ {
1182
+ "epoch": 3.28,
1183
+ "learning_rate": 0.00034215885947046844,
1184
+ "loss": 1.1846,
1185
+ "step": 1640
1186
+ },
1187
+ {
1188
+ "epoch": 3.3,
1189
+ "learning_rate": 0.0003411405295315682,
1190
+ "loss": 1.1776,
1191
+ "step": 1650
1192
+ },
1193
+ {
1194
+ "epoch": 3.32,
1195
+ "learning_rate": 0.00034012219959266807,
1196
+ "loss": 1.1549,
1197
+ "step": 1660
1198
+ },
1199
+ {
1200
+ "epoch": 3.34,
1201
+ "learning_rate": 0.00033910386965376783,
1202
+ "loss": 1.1442,
1203
+ "step": 1670
1204
+ },
1205
+ {
1206
+ "epoch": 3.36,
1207
+ "learning_rate": 0.0003380855397148676,
1208
+ "loss": 1.1672,
1209
+ "step": 1680
1210
+ },
1211
+ {
1212
+ "epoch": 3.38,
1213
+ "learning_rate": 0.00033706720977596746,
1214
+ "loss": 1.1854,
1215
+ "step": 1690
1216
+ },
1217
+ {
1218
+ "epoch": 3.4,
1219
+ "learning_rate": 0.0003360488798370672,
1220
+ "loss": 1.1435,
1221
+ "step": 1700
1222
+ },
1223
+ {
1224
+ "epoch": 3.4,
1225
+ "eval_loss": 0.9792933464050293,
1226
+ "eval_rouge1": 0.3566145348467804,
1227
+ "eval_rouge2": 0.16981457897259283,
1228
+ "eval_rougeL": 0.29555110085672354,
1229
+ "eval_rougeLsum": 0.29638538572800865,
1230
+ "eval_runtime": 20.8074,
1231
+ "eval_samples_per_second": 0.961,
1232
+ "eval_steps_per_second": 0.481,
1233
+ "step": 1700
1234
+ },
1235
+ {
1236
+ "epoch": 3.42,
1237
+ "learning_rate": 0.000335030549898167,
1238
+ "loss": 1.1721,
1239
+ "step": 1710
1240
+ },
1241
+ {
1242
+ "epoch": 3.44,
1243
+ "learning_rate": 0.0003340122199592668,
1244
+ "loss": 1.1546,
1245
+ "step": 1720
1246
+ },
1247
+ {
1248
+ "epoch": 3.46,
1249
+ "learning_rate": 0.0003329938900203666,
1250
+ "loss": 1.1843,
1251
+ "step": 1730
1252
+ },
1253
+ {
1254
+ "epoch": 3.48,
1255
+ "learning_rate": 0.00033197556008146637,
1256
+ "loss": 1.1968,
1257
+ "step": 1740
1258
+ },
1259
+ {
1260
+ "epoch": 3.5,
1261
+ "learning_rate": 0.0003309572301425662,
1262
+ "loss": 1.1481,
1263
+ "step": 1750
1264
+ },
1265
+ {
1266
+ "epoch": 3.52,
1267
+ "learning_rate": 0.000329938900203666,
1268
+ "loss": 1.1473,
1269
+ "step": 1760
1270
+ },
1271
+ {
1272
+ "epoch": 3.54,
1273
+ "learning_rate": 0.0003289205702647658,
1274
+ "loss": 1.1729,
1275
+ "step": 1770
1276
+ },
1277
+ {
1278
+ "epoch": 3.56,
1279
+ "learning_rate": 0.0003279022403258656,
1280
+ "loss": 1.1401,
1281
+ "step": 1780
1282
+ },
1283
+ {
1284
+ "epoch": 3.58,
1285
+ "learning_rate": 0.0003268839103869654,
1286
+ "loss": 1.1602,
1287
+ "step": 1790
1288
+ },
1289
+ {
1290
+ "epoch": 3.6,
1291
+ "learning_rate": 0.0003258655804480652,
1292
+ "loss": 1.1473,
1293
+ "step": 1800
1294
+ },
1295
+ {
1296
+ "epoch": 3.6,
1297
+ "eval_loss": 0.9619871973991394,
1298
+ "eval_rouge1": 0.36668217495119926,
1299
+ "eval_rouge2": 0.18802901856822518,
1300
+ "eval_rougeL": 0.3009048329724593,
1301
+ "eval_rougeLsum": 0.3020958756940847,
1302
+ "eval_runtime": 20.3135,
1303
+ "eval_samples_per_second": 0.985,
1304
+ "eval_steps_per_second": 0.492,
1305
+ "step": 1800
1306
+ },
1307
+ {
1308
+ "epoch": 3.62,
1309
+ "learning_rate": 0.00032484725050916497,
1310
+ "loss": 1.1533,
1311
+ "step": 1810
1312
+ },
1313
+ {
1314
+ "epoch": 3.64,
1315
+ "learning_rate": 0.00032382892057026473,
1316
+ "loss": 1.1557,
1317
+ "step": 1820
1318
+ },
1319
+ {
1320
+ "epoch": 3.66,
1321
+ "learning_rate": 0.0003228105906313646,
1322
+ "loss": 1.2091,
1323
+ "step": 1830
1324
+ },
1325
+ {
1326
+ "epoch": 3.68,
1327
+ "learning_rate": 0.00032179226069246436,
1328
+ "loss": 1.1791,
1329
+ "step": 1840
1330
+ },
1331
+ {
1332
+ "epoch": 3.7,
1333
+ "learning_rate": 0.0003207739307535642,
1334
+ "loss": 1.1407,
1335
+ "step": 1850
1336
+ },
1337
+ {
1338
+ "epoch": 3.72,
1339
+ "learning_rate": 0.000319755600814664,
1340
+ "loss": 1.1498,
1341
+ "step": 1860
1342
+ },
1343
+ {
1344
+ "epoch": 3.74,
1345
+ "learning_rate": 0.00031873727087576375,
1346
+ "loss": 1.1368,
1347
+ "step": 1870
1348
+ },
1349
+ {
1350
+ "epoch": 3.76,
1351
+ "learning_rate": 0.00031771894093686356,
1352
+ "loss": 1.1634,
1353
+ "step": 1880
1354
+ },
1355
+ {
1356
+ "epoch": 3.78,
1357
+ "learning_rate": 0.0003167006109979633,
1358
+ "loss": 1.168,
1359
+ "step": 1890
1360
+ },
1361
+ {
1362
+ "epoch": 3.8,
1363
+ "learning_rate": 0.00031568228105906314,
1364
+ "loss": 1.1588,
1365
+ "step": 1900
1366
+ },
1367
+ {
1368
+ "epoch": 3.8,
1369
+ "eval_loss": 0.9718366861343384,
1370
+ "eval_rouge1": 0.36821337929430387,
1371
+ "eval_rouge2": 0.17821834663511393,
1372
+ "eval_rougeL": 0.30543977513475806,
1373
+ "eval_rougeLsum": 0.3075353240284504,
1374
+ "eval_runtime": 20.7174,
1375
+ "eval_samples_per_second": 0.965,
1376
+ "eval_steps_per_second": 0.483,
1377
+ "step": 1900
1378
+ },
1379
+ {
1380
+ "epoch": 3.82,
1381
+ "learning_rate": 0.00031466395112016295,
1382
+ "loss": 1.1989,
1383
+ "step": 1910
1384
+ },
1385
+ {
1386
+ "epoch": 3.84,
1387
+ "learning_rate": 0.0003136456211812627,
1388
+ "loss": 1.1542,
1389
+ "step": 1920
1390
+ },
1391
+ {
1392
+ "epoch": 3.86,
1393
+ "learning_rate": 0.00031262729124236253,
1394
+ "loss": 1.203,
1395
+ "step": 1930
1396
+ },
1397
+ {
1398
+ "epoch": 3.88,
1399
+ "learning_rate": 0.00031160896130346234,
1400
+ "loss": 1.1644,
1401
+ "step": 1940
1402
+ },
1403
+ {
1404
+ "epoch": 3.9,
1405
+ "learning_rate": 0.0003105906313645621,
1406
+ "loss": 1.1266,
1407
+ "step": 1950
1408
+ },
1409
+ {
1410
+ "epoch": 3.92,
1411
+ "learning_rate": 0.0003095723014256619,
1412
+ "loss": 1.1994,
1413
+ "step": 1960
1414
+ },
1415
+ {
1416
+ "epoch": 3.94,
1417
+ "learning_rate": 0.00030855397148676173,
1418
+ "loss": 1.1402,
1419
+ "step": 1970
1420
+ },
1421
+ {
1422
+ "epoch": 3.96,
1423
+ "learning_rate": 0.0003075356415478615,
1424
+ "loss": 1.1348,
1425
+ "step": 1980
1426
+ },
1427
+ {
1428
+ "epoch": 3.98,
1429
+ "learning_rate": 0.0003065173116089613,
1430
+ "loss": 1.1582,
1431
+ "step": 1990
1432
+ },
1433
+ {
1434
+ "epoch": 4.0,
1435
+ "learning_rate": 0.0003054989816700611,
1436
+ "loss": 1.127,
1437
+ "step": 2000
1438
+ },
1439
+ {
1440
+ "epoch": 4.0,
1441
+ "eval_loss": 0.9626486897468567,
1442
+ "eval_rouge1": 0.33933999922378055,
1443
+ "eval_rouge2": 0.15960640801652384,
1444
+ "eval_rougeL": 0.27841295690954404,
1445
+ "eval_rougeLsum": 0.2805778340104648,
1446
+ "eval_runtime": 20.5994,
1447
+ "eval_samples_per_second": 0.971,
1448
+ "eval_steps_per_second": 0.485,
1449
+ "step": 2000
1450
+ },
1451
+ {
1452
+ "epoch": 4.02,
1453
+ "learning_rate": 0.0003044806517311609,
1454
+ "loss": 1.1229,
1455
+ "step": 2010
1456
+ },
1457
+ {
1458
+ "epoch": 4.04,
1459
+ "learning_rate": 0.0003034623217922607,
1460
+ "loss": 1.1027,
1461
+ "step": 2020
1462
+ },
1463
+ {
1464
+ "epoch": 4.06,
1465
+ "learning_rate": 0.0003024439918533605,
1466
+ "loss": 1.0923,
1467
+ "step": 2030
1468
+ },
1469
+ {
1470
+ "epoch": 4.08,
1471
+ "learning_rate": 0.0003014256619144603,
1472
+ "loss": 1.1416,
1473
+ "step": 2040
1474
+ },
1475
+ {
1476
+ "epoch": 4.1,
1477
+ "learning_rate": 0.0003004073319755601,
1478
+ "loss": 1.1066,
1479
+ "step": 2050
1480
+ },
1481
+ {
1482
+ "epoch": 4.12,
1483
+ "learning_rate": 0.00029938900203665985,
1484
+ "loss": 1.1045,
1485
+ "step": 2060
1486
+ },
1487
+ {
1488
+ "epoch": 4.14,
1489
+ "learning_rate": 0.0002983706720977597,
1490
+ "loss": 1.1172,
1491
+ "step": 2070
1492
+ },
1493
+ {
1494
+ "epoch": 4.16,
1495
+ "learning_rate": 0.0002973523421588595,
1496
+ "loss": 1.1535,
1497
+ "step": 2080
1498
+ },
1499
+ {
1500
+ "epoch": 4.18,
1501
+ "learning_rate": 0.00029633401221995924,
1502
+ "loss": 1.1866,
1503
+ "step": 2090
1504
+ },
1505
+ {
1506
+ "epoch": 4.2,
1507
+ "learning_rate": 0.0002953156822810591,
1508
+ "loss": 1.1251,
1509
+ "step": 2100
1510
+ },
1511
+ {
1512
+ "epoch": 4.2,
1513
+ "eval_loss": 0.9701215028762817,
1514
+ "eval_rouge1": 0.36918849108015117,
1515
+ "eval_rouge2": 0.1756845524684395,
1516
+ "eval_rougeL": 0.29888162339098345,
1517
+ "eval_rougeLsum": 0.30162046588140573,
1518
+ "eval_runtime": 24.6363,
1519
+ "eval_samples_per_second": 0.812,
1520
+ "eval_steps_per_second": 0.406,
1521
+ "step": 2100
1522
+ },
1523
+ {
1524
+ "epoch": 4.22,
1525
+ "learning_rate": 0.00029429735234215887,
1526
+ "loss": 1.1246,
1527
+ "step": 2110
1528
+ },
1529
+ {
1530
+ "epoch": 4.24,
1531
+ "learning_rate": 0.00029327902240325863,
1532
+ "loss": 1.1562,
1533
+ "step": 2120
1534
+ },
1535
+ {
1536
+ "epoch": 4.26,
1537
+ "learning_rate": 0.00029226069246435845,
1538
+ "loss": 1.1627,
1539
+ "step": 2130
1540
+ },
1541
+ {
1542
+ "epoch": 4.28,
1543
+ "learning_rate": 0.00029124236252545826,
1544
+ "loss": 1.1157,
1545
+ "step": 2140
1546
+ },
1547
+ {
1548
+ "epoch": 4.3,
1549
+ "learning_rate": 0.0002902240325865581,
1550
+ "loss": 1.1398,
1551
+ "step": 2150
1552
+ },
1553
+ {
1554
+ "epoch": 4.32,
1555
+ "learning_rate": 0.00028920570264765784,
1556
+ "loss": 1.1432,
1557
+ "step": 2160
1558
+ },
1559
+ {
1560
+ "epoch": 4.34,
1561
+ "learning_rate": 0.00028818737270875765,
1562
+ "loss": 1.1318,
1563
+ "step": 2170
1564
+ },
1565
+ {
1566
+ "epoch": 4.36,
1567
+ "learning_rate": 0.00028716904276985747,
1568
+ "loss": 1.1461,
1569
+ "step": 2180
1570
+ },
1571
+ {
1572
+ "epoch": 4.38,
1573
+ "learning_rate": 0.00028615071283095723,
1574
+ "loss": 1.13,
1575
+ "step": 2190
1576
+ },
1577
+ {
1578
+ "epoch": 4.4,
1579
+ "learning_rate": 0.000285132382892057,
1580
+ "loss": 1.085,
1581
+ "step": 2200
1582
+ },
1583
+ {
1584
+ "epoch": 4.4,
1585
+ "eval_loss": 0.9604999423027039,
1586
+ "eval_rouge1": 0.3531685802104979,
1587
+ "eval_rouge2": 0.16500844586291133,
1588
+ "eval_rougeL": 0.28475165873194214,
1589
+ "eval_rougeLsum": 0.2861591101839957,
1590
+ "eval_runtime": 20.5667,
1591
+ "eval_samples_per_second": 0.972,
1592
+ "eval_steps_per_second": 0.486,
1593
+ "step": 2200
1594
+ },
1595
+ {
1596
+ "epoch": 4.42,
1597
+ "learning_rate": 0.00028411405295315686,
1598
+ "loss": 1.1408,
1599
+ "step": 2210
1600
+ },
1601
+ {
1602
+ "epoch": 4.44,
1603
+ "learning_rate": 0.0002830957230142566,
1604
+ "loss": 1.1458,
1605
+ "step": 2220
1606
+ },
1607
+ {
1608
+ "epoch": 4.46,
1609
+ "learning_rate": 0.0002820773930753564,
1610
+ "loss": 1.1056,
1611
+ "step": 2230
1612
+ },
1613
+ {
1614
+ "epoch": 4.48,
1615
+ "learning_rate": 0.00028105906313645625,
1616
+ "loss": 1.1933,
1617
+ "step": 2240
1618
+ },
1619
+ {
1620
+ "epoch": 4.5,
1621
+ "learning_rate": 0.000280040733197556,
1622
+ "loss": 1.1478,
1623
+ "step": 2250
1624
+ },
1625
+ {
1626
+ "epoch": 4.52,
1627
+ "learning_rate": 0.0002790224032586558,
1628
+ "loss": 1.0862,
1629
+ "step": 2260
1630
+ },
1631
+ {
1632
+ "epoch": 4.54,
1633
+ "learning_rate": 0.0002780040733197556,
1634
+ "loss": 1.1433,
1635
+ "step": 2270
1636
+ },
1637
+ {
1638
+ "epoch": 4.56,
1639
+ "learning_rate": 0.0002769857433808554,
1640
+ "loss": 1.124,
1641
+ "step": 2280
1642
+ },
1643
+ {
1644
+ "epoch": 4.58,
1645
+ "learning_rate": 0.0002759674134419552,
1646
+ "loss": 1.095,
1647
+ "step": 2290
1648
+ },
1649
+ {
1650
+ "epoch": 4.6,
1651
+ "learning_rate": 0.000274949083503055,
1652
+ "loss": 1.0922,
1653
+ "step": 2300
1654
+ },
1655
+ {
1656
+ "epoch": 4.6,
1657
+ "eval_loss": 0.9633736610412598,
1658
+ "eval_rouge1": 0.35626224117845484,
1659
+ "eval_rouge2": 0.16997535406808995,
1660
+ "eval_rougeL": 0.2941903529387039,
1661
+ "eval_rougeLsum": 0.2963873855076279,
1662
+ "eval_runtime": 22.0443,
1663
+ "eval_samples_per_second": 0.907,
1664
+ "eval_steps_per_second": 0.454,
1665
+ "step": 2300
1666
+ },
1667
+ {
1668
+ "epoch": 4.62,
1669
+ "learning_rate": 0.0002739307535641548,
1670
+ "loss": 1.1468,
1671
+ "step": 2310
1672
+ },
1673
+ {
1674
+ "epoch": 4.64,
1675
+ "learning_rate": 0.0002729124236252546,
1676
+ "loss": 1.1456,
1677
+ "step": 2320
1678
+ },
1679
+ {
1680
+ "epoch": 4.66,
1681
+ "learning_rate": 0.00027189409368635437,
1682
+ "loss": 1.1317,
1683
+ "step": 2330
1684
+ },
1685
+ {
1686
+ "epoch": 4.68,
1687
+ "learning_rate": 0.0002708757637474542,
1688
+ "loss": 1.1078,
1689
+ "step": 2340
1690
+ },
1691
+ {
1692
+ "epoch": 4.7,
1693
+ "learning_rate": 0.000269857433808554,
1694
+ "loss": 1.143,
1695
+ "step": 2350
1696
+ },
1697
+ {
1698
+ "epoch": 4.72,
1699
+ "learning_rate": 0.00026883910386965376,
1700
+ "loss": 1.1194,
1701
+ "step": 2360
1702
+ },
1703
+ {
1704
+ "epoch": 4.74,
1705
+ "learning_rate": 0.00026782077393075357,
1706
+ "loss": 1.1122,
1707
+ "step": 2370
1708
+ },
1709
+ {
1710
+ "epoch": 4.76,
1711
+ "learning_rate": 0.0002668024439918534,
1712
+ "loss": 1.1275,
1713
+ "step": 2380
1714
+ },
1715
+ {
1716
+ "epoch": 4.78,
1717
+ "learning_rate": 0.00026578411405295315,
1718
+ "loss": 1.1305,
1719
+ "step": 2390
1720
+ },
1721
+ {
1722
+ "epoch": 4.8,
1723
+ "learning_rate": 0.00026476578411405296,
1724
+ "loss": 1.1649,
1725
+ "step": 2400
1726
+ },
1727
+ {
1728
+ "epoch": 4.8,
1729
+ "eval_loss": 0.9545726776123047,
1730
+ "eval_rouge1": 0.38101044159436365,
1731
+ "eval_rouge2": 0.1957583700370854,
1732
+ "eval_rougeL": 0.3214174366996265,
1733
+ "eval_rougeLsum": 0.3228583149166323,
1734
+ "eval_runtime": 21.4511,
1735
+ "eval_samples_per_second": 0.932,
1736
+ "eval_steps_per_second": 0.466,
1737
+ "step": 2400
1738
+ },
1739
+ {
1740
+ "epoch": 4.82,
1741
+ "learning_rate": 0.0002637474541751528,
1742
+ "loss": 1.104,
1743
+ "step": 2410
1744
+ },
1745
+ {
1746
+ "epoch": 4.84,
1747
+ "learning_rate": 0.00026272912423625254,
1748
+ "loss": 1.1482,
1749
+ "step": 2420
1750
+ },
1751
+ {
1752
+ "epoch": 4.86,
1753
+ "learning_rate": 0.00026171079429735235,
1754
+ "loss": 1.1361,
1755
+ "step": 2430
1756
+ },
1757
+ {
1758
+ "epoch": 4.88,
1759
+ "learning_rate": 0.0002606924643584521,
1760
+ "loss": 1.0924,
1761
+ "step": 2440
1762
+ },
1763
+ {
1764
+ "epoch": 4.9,
1765
+ "learning_rate": 0.000259674134419552,
1766
+ "loss": 1.1313,
1767
+ "step": 2450
1768
+ },
1769
+ {
1770
+ "epoch": 4.92,
1771
+ "learning_rate": 0.00025865580448065174,
1772
+ "loss": 1.0971,
1773
+ "step": 2460
1774
+ },
1775
+ {
1776
+ "epoch": 4.94,
1777
+ "learning_rate": 0.0002576374745417515,
1778
+ "loss": 1.1653,
1779
+ "step": 2470
1780
+ },
1781
+ {
1782
+ "epoch": 4.96,
1783
+ "learning_rate": 0.00025661914460285137,
1784
+ "loss": 1.1438,
1785
+ "step": 2480
1786
+ },
1787
+ {
1788
+ "epoch": 4.98,
1789
+ "learning_rate": 0.00025560081466395113,
1790
+ "loss": 1.139,
1791
+ "step": 2490
1792
+ },
1793
+ {
1794
+ "epoch": 5.0,
1795
+ "learning_rate": 0.0002545824847250509,
1796
+ "loss": 1.1279,
1797
+ "step": 2500
1798
+ },
1799
+ {
1800
+ "epoch": 5.0,
1801
+ "eval_loss": 0.9487113952636719,
1802
+ "eval_rouge1": 0.3782997160632432,
1803
+ "eval_rouge2": 0.20289958909161465,
1804
+ "eval_rougeL": 0.3222664292441296,
1805
+ "eval_rougeLsum": 0.3240112049119128,
1806
+ "eval_runtime": 21.5846,
1807
+ "eval_samples_per_second": 0.927,
1808
+ "eval_steps_per_second": 0.463,
1809
+ "step": 2500
1810
+ },
1811
+ {
1812
+ "epoch": 5.02,
1813
+ "learning_rate": 0.0002535641547861507,
1814
+ "loss": 1.1028,
1815
+ "step": 2510
1816
+ },
1817
+ {
1818
+ "epoch": 5.04,
1819
+ "learning_rate": 0.0002525458248472505,
1820
+ "loss": 1.0659,
1821
+ "step": 2520
1822
+ },
1823
+ {
1824
+ "epoch": 5.06,
1825
+ "learning_rate": 0.0002515274949083503,
1826
+ "loss": 1.115,
1827
+ "step": 2530
1828
+ },
1829
+ {
1830
+ "epoch": 5.08,
1831
+ "learning_rate": 0.0002505091649694501,
1832
+ "loss": 1.0952,
1833
+ "step": 2540
1834
+ },
1835
+ {
1836
+ "epoch": 5.1,
1837
+ "learning_rate": 0.0002494908350305499,
1838
+ "loss": 1.1092,
1839
+ "step": 2550
1840
+ },
1841
+ {
1842
+ "epoch": 5.12,
1843
+ "learning_rate": 0.00024847250509164973,
1844
+ "loss": 1.1194,
1845
+ "step": 2560
1846
+ },
1847
+ {
1848
+ "epoch": 5.14,
1849
+ "learning_rate": 0.0002474541751527495,
1850
+ "loss": 1.11,
1851
+ "step": 2570
1852
+ },
1853
+ {
1854
+ "epoch": 5.16,
1855
+ "learning_rate": 0.0002464358452138493,
1856
+ "loss": 1.1524,
1857
+ "step": 2580
1858
+ },
1859
+ {
1860
+ "epoch": 5.18,
1861
+ "learning_rate": 0.0002454175152749491,
1862
+ "loss": 1.1122,
1863
+ "step": 2590
1864
+ },
1865
+ {
1866
+ "epoch": 5.2,
1867
+ "learning_rate": 0.0002443991853360489,
1868
+ "loss": 1.0798,
1869
+ "step": 2600
1870
+ },
1871
+ {
1872
+ "epoch": 5.2,
1873
+ "eval_loss": 0.9421226382255554,
1874
+ "eval_rouge1": 0.3597269877576089,
1875
+ "eval_rouge2": 0.1775049607682675,
1876
+ "eval_rougeL": 0.2919995300536511,
1877
+ "eval_rougeLsum": 0.29538083346340016,
1878
+ "eval_runtime": 22.4063,
1879
+ "eval_samples_per_second": 0.893,
1880
+ "eval_steps_per_second": 0.446,
1881
+ "step": 2600
1882
+ },
1883
+ {
1884
+ "epoch": 5.22,
1885
+ "learning_rate": 0.0002433808553971487,
1886
+ "loss": 1.1141,
1887
+ "step": 2610
1888
+ },
1889
+ {
1890
+ "epoch": 5.24,
1891
+ "learning_rate": 0.00024236252545824845,
1892
+ "loss": 1.11,
1893
+ "step": 2620
1894
+ },
1895
+ {
1896
+ "epoch": 5.26,
1897
+ "learning_rate": 0.00024134419551934827,
1898
+ "loss": 1.1206,
1899
+ "step": 2630
1900
+ },
1901
+ {
1902
+ "epoch": 5.28,
1903
+ "learning_rate": 0.00024032586558044808,
1904
+ "loss": 1.1035,
1905
+ "step": 2640
1906
+ },
1907
+ {
1908
+ "epoch": 5.3,
1909
+ "learning_rate": 0.00023930753564154787,
1910
+ "loss": 1.1362,
1911
+ "step": 2650
1912
+ },
1913
+ {
1914
+ "epoch": 5.32,
1915
+ "learning_rate": 0.00023828920570264766,
1916
+ "loss": 1.1023,
1917
+ "step": 2660
1918
+ },
1919
+ {
1920
+ "epoch": 5.34,
1921
+ "learning_rate": 0.00023727087576374745,
1922
+ "loss": 1.1237,
1923
+ "step": 2670
1924
+ },
1925
+ {
1926
+ "epoch": 5.36,
1927
+ "learning_rate": 0.00023625254582484726,
1928
+ "loss": 1.0934,
1929
+ "step": 2680
1930
+ },
1931
+ {
1932
+ "epoch": 5.38,
1933
+ "learning_rate": 0.00023523421588594705,
1934
+ "loss": 1.0976,
1935
+ "step": 2690
1936
+ },
1937
+ {
1938
+ "epoch": 5.4,
1939
+ "learning_rate": 0.00023421588594704684,
1940
+ "loss": 1.1468,
1941
+ "step": 2700
1942
+ },
1943
+ {
1944
+ "epoch": 5.4,
1945
+ "eval_loss": 0.9474976658821106,
1946
+ "eval_rouge1": 0.37719594840753984,
1947
+ "eval_rouge2": 0.19434086595475156,
1948
+ "eval_rougeL": 0.312798697930013,
1949
+ "eval_rougeLsum": 0.3158141266137696,
1950
+ "eval_runtime": 21.5064,
1951
+ "eval_samples_per_second": 0.93,
1952
+ "eval_steps_per_second": 0.465,
1953
+ "step": 2700
1954
+ },
1955
+ {
1956
+ "epoch": 5.42,
1957
+ "learning_rate": 0.00023319755600814665,
1958
+ "loss": 1.1283,
1959
+ "step": 2710
1960
+ },
1961
+ {
1962
+ "epoch": 5.44,
1963
+ "learning_rate": 0.00023217922606924644,
1964
+ "loss": 1.105,
1965
+ "step": 2720
1966
+ },
1967
+ {
1968
+ "epoch": 5.46,
1969
+ "learning_rate": 0.00023116089613034625,
1970
+ "loss": 1.0968,
1971
+ "step": 2730
1972
+ },
1973
+ {
1974
+ "epoch": 5.48,
1975
+ "learning_rate": 0.00023014256619144602,
1976
+ "loss": 1.0931,
1977
+ "step": 2740
1978
+ },
1979
+ {
1980
+ "epoch": 5.5,
1981
+ "learning_rate": 0.00022912423625254583,
1982
+ "loss": 1.1181,
1983
+ "step": 2750
1984
+ },
1985
+ {
1986
+ "epoch": 5.52,
1987
+ "learning_rate": 0.00022810590631364565,
1988
+ "loss": 1.0492,
1989
+ "step": 2760
1990
+ },
1991
+ {
1992
+ "epoch": 5.54,
1993
+ "learning_rate": 0.0002270875763747454,
1994
+ "loss": 1.0888,
1995
+ "step": 2770
1996
+ },
1997
+ {
1998
+ "epoch": 5.56,
1999
+ "learning_rate": 0.00022606924643584522,
2000
+ "loss": 1.0944,
2001
+ "step": 2780
2002
+ },
2003
+ {
2004
+ "epoch": 5.58,
2005
+ "learning_rate": 0.000225050916496945,
2006
+ "loss": 1.0851,
2007
+ "step": 2790
2008
+ },
2009
+ {
2010
+ "epoch": 5.6,
2011
+ "learning_rate": 0.00022403258655804482,
2012
+ "loss": 1.073,
2013
+ "step": 2800
2014
+ },
2015
+ {
2016
+ "epoch": 5.6,
2017
+ "eval_loss": 0.9429187774658203,
2018
+ "eval_rouge1": 0.3534213889657237,
2019
+ "eval_rouge2": 0.1666029802662448,
2020
+ "eval_rougeL": 0.298122774116486,
2021
+ "eval_rougeLsum": 0.3017447168430196,
2022
+ "eval_runtime": 21.9067,
2023
+ "eval_samples_per_second": 0.913,
2024
+ "eval_steps_per_second": 0.456,
2025
+ "step": 2800
2026
+ },
2027
+ {
2028
+ "epoch": 5.62,
2029
+ "learning_rate": 0.00022301425661914458,
2030
+ "loss": 1.1145,
2031
+ "step": 2810
2032
+ },
2033
+ {
2034
+ "epoch": 5.64,
2035
+ "learning_rate": 0.0002219959266802444,
2036
+ "loss": 1.081,
2037
+ "step": 2820
2038
+ },
2039
+ {
2040
+ "epoch": 5.66,
2041
+ "learning_rate": 0.00022097759674134421,
2042
+ "loss": 1.1057,
2043
+ "step": 2830
2044
+ },
2045
+ {
2046
+ "epoch": 5.68,
2047
+ "learning_rate": 0.000219959266802444,
2048
+ "loss": 1.1037,
2049
+ "step": 2840
2050
+ },
2051
+ {
2052
+ "epoch": 5.7,
2053
+ "learning_rate": 0.0002189409368635438,
2054
+ "loss": 1.0963,
2055
+ "step": 2850
2056
+ },
2057
+ {
2058
+ "epoch": 5.72,
2059
+ "learning_rate": 0.00021792260692464358,
2060
+ "loss": 1.0834,
2061
+ "step": 2860
2062
+ },
2063
+ {
2064
+ "epoch": 5.74,
2065
+ "learning_rate": 0.0002169042769857434,
2066
+ "loss": 1.1108,
2067
+ "step": 2870
2068
+ },
2069
+ {
2070
+ "epoch": 5.76,
2071
+ "learning_rate": 0.0002158859470468432,
2072
+ "loss": 1.1077,
2073
+ "step": 2880
2074
+ },
2075
+ {
2076
+ "epoch": 5.78,
2077
+ "learning_rate": 0.00021486761710794297,
2078
+ "loss": 1.0936,
2079
+ "step": 2890
2080
+ },
2081
+ {
2082
+ "epoch": 5.8,
2083
+ "learning_rate": 0.00021384928716904278,
2084
+ "loss": 1.0598,
2085
+ "step": 2900
2086
+ },
2087
+ {
2088
+ "epoch": 5.8,
2089
+ "eval_loss": 0.9476393461227417,
2090
+ "eval_rouge1": 0.3460493427394816,
2091
+ "eval_rouge2": 0.16425447886287378,
2092
+ "eval_rougeL": 0.29176256122671795,
2093
+ "eval_rougeLsum": 0.2932874710130029,
2094
+ "eval_runtime": 22.7632,
2095
+ "eval_samples_per_second": 0.879,
2096
+ "eval_steps_per_second": 0.439,
2097
+ "step": 2900
2098
+ },
2099
+ {
2100
+ "epoch": 5.82,
2101
+ "learning_rate": 0.00021283095723014257,
2102
+ "loss": 1.1012,
2103
+ "step": 2910
2104
+ },
2105
+ {
2106
+ "epoch": 5.84,
2107
+ "learning_rate": 0.00021181262729124236,
2108
+ "loss": 1.1155,
2109
+ "step": 2920
2110
+ },
2111
+ {
2112
+ "epoch": 5.86,
2113
+ "learning_rate": 0.00021079429735234215,
2114
+ "loss": 1.0611,
2115
+ "step": 2930
2116
+ },
2117
+ {
2118
+ "epoch": 5.88,
2119
+ "learning_rate": 0.00020977596741344196,
2120
+ "loss": 1.1044,
2121
+ "step": 2940
2122
+ },
2123
+ {
2124
+ "epoch": 5.9,
2125
+ "learning_rate": 0.00020875763747454178,
2126
+ "loss": 1.0781,
2127
+ "step": 2950
2128
+ },
2129
+ {
2130
+ "epoch": 5.92,
2131
+ "learning_rate": 0.00020773930753564154,
2132
+ "loss": 1.118,
2133
+ "step": 2960
2134
+ },
2135
+ {
2136
+ "epoch": 5.94,
2137
+ "learning_rate": 0.00020672097759674135,
2138
+ "loss": 1.0767,
2139
+ "step": 2970
2140
+ },
2141
+ {
2142
+ "epoch": 5.96,
2143
+ "learning_rate": 0.00020570264765784114,
2144
+ "loss": 1.1183,
2145
+ "step": 2980
2146
+ },
2147
+ {
2148
+ "epoch": 5.98,
2149
+ "learning_rate": 0.00020468431771894095,
2150
+ "loss": 1.0675,
2151
+ "step": 2990
2152
+ },
2153
+ {
2154
+ "epoch": 6.0,
2155
+ "learning_rate": 0.00020366598778004074,
2156
+ "loss": 1.0567,
2157
+ "step": 3000
2158
+ },
2159
+ {
2160
+ "epoch": 6.0,
2161
+ "eval_loss": 0.9474280476570129,
2162
+ "eval_rouge1": 0.3549405529957428,
2163
+ "eval_rouge2": 0.17220677580168336,
2164
+ "eval_rougeL": 0.29622719821503607,
2165
+ "eval_rougeLsum": 0.29765510347367236,
2166
+ "eval_runtime": 21.6142,
2167
+ "eval_samples_per_second": 0.925,
2168
+ "eval_steps_per_second": 0.463,
2169
+ "step": 3000
2170
+ },
2171
+ {
2172
+ "epoch": 6.02,
2173
+ "learning_rate": 0.00020264765784114053,
2174
+ "loss": 1.082,
2175
+ "step": 3010
2176
+ },
2177
+ {
2178
+ "epoch": 6.04,
2179
+ "learning_rate": 0.00020162932790224034,
2180
+ "loss": 1.0653,
2181
+ "step": 3020
2182
+ },
2183
+ {
2184
+ "epoch": 6.06,
2185
+ "learning_rate": 0.00020061099796334013,
2186
+ "loss": 1.0819,
2187
+ "step": 3030
2188
+ },
2189
+ {
2190
+ "epoch": 6.08,
2191
+ "learning_rate": 0.00019959266802443992,
2192
+ "loss": 1.0833,
2193
+ "step": 3040
2194
+ },
2195
+ {
2196
+ "epoch": 6.1,
2197
+ "learning_rate": 0.0001985743380855397,
2198
+ "loss": 1.0683,
2199
+ "step": 3050
2200
+ },
2201
+ {
2202
+ "epoch": 6.12,
2203
+ "learning_rate": 0.00019755600814663952,
2204
+ "loss": 1.0805,
2205
+ "step": 3060
2206
+ },
2207
+ {
2208
+ "epoch": 6.14,
2209
+ "learning_rate": 0.00019653767820773934,
2210
+ "loss": 1.0535,
2211
+ "step": 3070
2212
+ },
2213
+ {
2214
+ "epoch": 6.16,
2215
+ "learning_rate": 0.0001955193482688391,
2216
+ "loss": 1.0952,
2217
+ "step": 3080
2218
+ },
2219
+ {
2220
+ "epoch": 6.18,
2221
+ "learning_rate": 0.0001945010183299389,
2222
+ "loss": 1.0997,
2223
+ "step": 3090
2224
+ },
2225
+ {
2226
+ "epoch": 6.2,
2227
+ "learning_rate": 0.0001934826883910387,
2228
+ "loss": 1.0773,
2229
+ "step": 3100
2230
+ },
2231
+ {
2232
+ "epoch": 6.2,
2233
+ "eval_loss": 0.9442319869995117,
2234
+ "eval_rouge1": 0.3697494602820765,
2235
+ "eval_rouge2": 0.17309826892569075,
2236
+ "eval_rougeL": 0.30189218077829605,
2237
+ "eval_rougeLsum": 0.3058880236996683,
2238
+ "eval_runtime": 22.8637,
2239
+ "eval_samples_per_second": 0.875,
2240
+ "eval_steps_per_second": 0.437,
2241
+ "step": 3100
2242
+ },
2243
+ {
2244
+ "epoch": 6.22,
2245
+ "learning_rate": 0.0001924643584521385,
2246
+ "loss": 1.0739,
2247
+ "step": 3110
2248
+ },
2249
+ {
2250
+ "epoch": 6.24,
2251
+ "learning_rate": 0.00019144602851323828,
2252
+ "loss": 1.0964,
2253
+ "step": 3120
2254
+ },
2255
+ {
2256
+ "epoch": 6.26,
2257
+ "learning_rate": 0.0001904276985743381,
2258
+ "loss": 1.0914,
2259
+ "step": 3130
2260
+ },
2261
+ {
2262
+ "epoch": 6.28,
2263
+ "learning_rate": 0.0001894093686354379,
2264
+ "loss": 1.0836,
2265
+ "step": 3140
2266
+ },
2267
+ {
2268
+ "epoch": 6.3,
2269
+ "learning_rate": 0.00018839103869653767,
2270
+ "loss": 1.0812,
2271
+ "step": 3150
2272
+ },
2273
+ {
2274
+ "epoch": 6.32,
2275
+ "learning_rate": 0.00018737270875763748,
2276
+ "loss": 1.1139,
2277
+ "step": 3160
2278
+ },
2279
+ {
2280
+ "epoch": 6.34,
2281
+ "learning_rate": 0.00018635437881873727,
2282
+ "loss": 1.0565,
2283
+ "step": 3170
2284
+ },
2285
+ {
2286
+ "epoch": 6.36,
2287
+ "learning_rate": 0.00018533604887983708,
2288
+ "loss": 1.1065,
2289
+ "step": 3180
2290
+ },
2291
+ {
2292
+ "epoch": 6.38,
2293
+ "learning_rate": 0.00018431771894093687,
2294
+ "loss": 1.0972,
2295
+ "step": 3190
2296
+ },
2297
+ {
2298
+ "epoch": 6.4,
2299
+ "learning_rate": 0.00018329938900203666,
2300
+ "loss": 1.0704,
2301
+ "step": 3200
2302
+ },
2303
+ {
2304
+ "epoch": 6.4,
2305
+ "eval_loss": 0.9415400624275208,
2306
+ "eval_rouge1": 0.3552015796577298,
2307
+ "eval_rouge2": 0.17624288378508868,
2308
+ "eval_rougeL": 0.29158581025602837,
2309
+ "eval_rougeLsum": 0.2947848268366889,
2310
+ "eval_runtime": 21.6045,
2311
+ "eval_samples_per_second": 0.926,
2312
+ "eval_steps_per_second": 0.463,
2313
+ "step": 3200
2314
+ },
2315
+ {
2316
+ "epoch": 6.42,
2317
+ "learning_rate": 0.00018228105906313647,
2318
+ "loss": 1.0911,
2319
+ "step": 3210
2320
+ },
2321
+ {
2322
+ "epoch": 6.44,
2323
+ "learning_rate": 0.00018126272912423623,
2324
+ "loss": 1.1143,
2325
+ "step": 3220
2326
+ },
2327
+ {
2328
+ "epoch": 6.46,
2329
+ "learning_rate": 0.00018024439918533605,
2330
+ "loss": 1.0511,
2331
+ "step": 3230
2332
+ },
2333
+ {
2334
+ "epoch": 6.48,
2335
+ "learning_rate": 0.00017922606924643584,
2336
+ "loss": 1.0629,
2337
+ "step": 3240
2338
+ },
2339
+ {
2340
+ "epoch": 6.5,
2341
+ "learning_rate": 0.00017820773930753565,
2342
+ "loss": 1.0291,
2343
+ "step": 3250
2344
+ },
2345
+ {
2346
+ "epoch": 6.52,
2347
+ "learning_rate": 0.00017718940936863544,
2348
+ "loss": 1.0673,
2349
+ "step": 3260
2350
+ },
2351
+ {
2352
+ "epoch": 6.54,
2353
+ "learning_rate": 0.00017617107942973523,
2354
+ "loss": 1.0804,
2355
+ "step": 3270
2356
+ },
2357
+ {
2358
+ "epoch": 6.56,
2359
+ "learning_rate": 0.00017515274949083504,
2360
+ "loss": 1.0569,
2361
+ "step": 3280
2362
+ },
2363
+ {
2364
+ "epoch": 6.58,
2365
+ "learning_rate": 0.00017413441955193483,
2366
+ "loss": 1.086,
2367
+ "step": 3290
2368
+ },
2369
+ {
2370
+ "epoch": 6.6,
2371
+ "learning_rate": 0.00017311608961303462,
2372
+ "loss": 1.0676,
2373
+ "step": 3300
2374
+ },
2375
+ {
2376
+ "epoch": 6.6,
2377
+ "eval_loss": 0.9348514676094055,
2378
+ "eval_rouge1": 0.37110363769688715,
2379
+ "eval_rouge2": 0.18311514856569724,
2380
+ "eval_rougeL": 0.3001004216892586,
2381
+ "eval_rougeLsum": 0.30109761355013054,
2382
+ "eval_runtime": 22.0391,
2383
+ "eval_samples_per_second": 0.907,
2384
+ "eval_steps_per_second": 0.454,
2385
+ "step": 3300
2386
+ },
2387
+ {
2388
+ "epoch": 6.62,
2389
+ "learning_rate": 0.00017209775967413443,
2390
+ "loss": 1.0646,
2391
+ "step": 3310
2392
+ },
2393
+ {
2394
+ "epoch": 6.64,
2395
+ "learning_rate": 0.00017107942973523422,
2396
+ "loss": 1.1062,
2397
+ "step": 3320
2398
+ },
2399
+ {
2400
+ "epoch": 6.66,
2401
+ "learning_rate": 0.00017006109979633404,
2402
+ "loss": 1.0522,
2403
+ "step": 3330
2404
+ },
2405
+ {
2406
+ "epoch": 6.68,
2407
+ "learning_rate": 0.0001690427698574338,
2408
+ "loss": 1.0598,
2409
+ "step": 3340
2410
+ },
2411
+ {
2412
+ "epoch": 6.7,
2413
+ "learning_rate": 0.0001680244399185336,
2414
+ "loss": 1.0777,
2415
+ "step": 3350
2416
+ },
2417
+ {
2418
+ "epoch": 6.72,
2419
+ "learning_rate": 0.0001670061099796334,
2420
+ "loss": 1.0967,
2421
+ "step": 3360
2422
+ },
2423
+ {
2424
+ "epoch": 6.74,
2425
+ "learning_rate": 0.00016598778004073319,
2426
+ "loss": 1.0654,
2427
+ "step": 3370
2428
+ },
2429
+ {
2430
+ "epoch": 6.76,
2431
+ "learning_rate": 0.000164969450101833,
2432
+ "loss": 1.0776,
2433
+ "step": 3380
2434
+ },
2435
+ {
2436
+ "epoch": 6.78,
2437
+ "learning_rate": 0.0001639511201629328,
2438
+ "loss": 1.126,
2439
+ "step": 3390
2440
+ },
2441
+ {
2442
+ "epoch": 6.8,
2443
+ "learning_rate": 0.0001629327902240326,
2444
+ "loss": 1.1015,
2445
+ "step": 3400
2446
+ },
2447
+ {
2448
+ "epoch": 6.8,
2449
+ "eval_loss": 0.9340616464614868,
2450
+ "eval_rouge1": 0.3645773285826771,
2451
+ "eval_rouge2": 0.1797763488186414,
2452
+ "eval_rougeL": 0.3043672589098563,
2453
+ "eval_rougeLsum": 0.30620848729732686,
2454
+ "eval_runtime": 22.359,
2455
+ "eval_samples_per_second": 0.894,
2456
+ "eval_steps_per_second": 0.447,
2457
+ "step": 3400
2458
+ },
2459
+ {
2460
+ "epoch": 6.82,
2461
+ "learning_rate": 0.00016191446028513236,
2462
+ "loss": 1.0782,
2463
+ "step": 3410
2464
+ },
2465
+ {
2466
+ "epoch": 6.84,
2467
+ "learning_rate": 0.00016089613034623218,
2468
+ "loss": 1.0664,
2469
+ "step": 3420
2470
+ },
2471
+ {
2472
+ "epoch": 6.86,
2473
+ "learning_rate": 0.000159877800407332,
2474
+ "loss": 1.0867,
2475
+ "step": 3430
2476
+ },
2477
+ {
2478
+ "epoch": 6.88,
2479
+ "learning_rate": 0.00015885947046843178,
2480
+ "loss": 1.0813,
2481
+ "step": 3440
2482
+ },
2483
+ {
2484
+ "epoch": 6.9,
2485
+ "learning_rate": 0.00015784114052953157,
2486
+ "loss": 1.0541,
2487
+ "step": 3450
2488
+ },
2489
+ {
2490
+ "epoch": 6.92,
2491
+ "learning_rate": 0.00015682281059063136,
2492
+ "loss": 1.0479,
2493
+ "step": 3460
2494
+ },
2495
+ {
2496
+ "epoch": 6.94,
2497
+ "learning_rate": 0.00015580448065173117,
2498
+ "loss": 1.0574,
2499
+ "step": 3470
2500
+ },
2501
+ {
2502
+ "epoch": 6.96,
2503
+ "learning_rate": 0.00015478615071283096,
2504
+ "loss": 1.0775,
2505
+ "step": 3480
2506
+ },
2507
+ {
2508
+ "epoch": 6.98,
2509
+ "learning_rate": 0.00015376782077393075,
2510
+ "loss": 1.0567,
2511
+ "step": 3490
2512
+ },
2513
+ {
2514
+ "epoch": 7.0,
2515
+ "learning_rate": 0.00015274949083503056,
2516
+ "loss": 1.0895,
2517
+ "step": 3500
2518
+ },
2519
+ {
2520
+ "epoch": 7.0,
2521
+ "eval_loss": 0.9335128664970398,
2522
+ "eval_rouge1": 0.3564737046975759,
2523
+ "eval_rouge2": 0.17665902660761595,
2524
+ "eval_rougeL": 0.2936209010289881,
2525
+ "eval_rougeLsum": 0.29567036214117715,
2526
+ "eval_runtime": 21.7504,
2527
+ "eval_samples_per_second": 0.92,
2528
+ "eval_steps_per_second": 0.46,
2529
+ "step": 3500
2530
+ },
2531
+ {
2532
+ "epoch": 7.02,
2533
+ "learning_rate": 0.00015173116089613035,
2534
+ "loss": 1.019,
2535
+ "step": 3510
2536
+ },
2537
+ {
2538
+ "epoch": 7.04,
2539
+ "learning_rate": 0.00015071283095723014,
2540
+ "loss": 1.0701,
2541
+ "step": 3520
2542
+ },
2543
+ {
2544
+ "epoch": 7.06,
2545
+ "learning_rate": 0.00014969450101832993,
2546
+ "loss": 1.064,
2547
+ "step": 3530
2548
+ },
2549
+ {
2550
+ "epoch": 7.08,
2551
+ "learning_rate": 0.00014867617107942974,
2552
+ "loss": 1.0464,
2553
+ "step": 3540
2554
+ },
2555
+ {
2556
+ "epoch": 7.1,
2557
+ "learning_rate": 0.00014765784114052956,
2558
+ "loss": 1.0958,
2559
+ "step": 3550
2560
+ },
2561
+ {
2562
+ "epoch": 7.12,
2563
+ "learning_rate": 0.00014663951120162932,
2564
+ "loss": 1.0458,
2565
+ "step": 3560
2566
+ },
2567
+ {
2568
+ "epoch": 7.14,
2569
+ "learning_rate": 0.00014562118126272913,
2570
+ "loss": 1.0012,
2571
+ "step": 3570
2572
+ },
2573
+ {
2574
+ "epoch": 7.16,
2575
+ "learning_rate": 0.00014460285132382892,
2576
+ "loss": 1.0629,
2577
+ "step": 3580
2578
+ },
2579
+ {
2580
+ "epoch": 7.18,
2581
+ "learning_rate": 0.00014358452138492873,
2582
+ "loss": 1.049,
2583
+ "step": 3590
2584
+ },
2585
+ {
2586
+ "epoch": 7.2,
2587
+ "learning_rate": 0.0001425661914460285,
2588
+ "loss": 1.0839,
2589
+ "step": 3600
2590
+ },
2591
+ {
2592
+ "epoch": 7.2,
2593
+ "eval_loss": 0.9262797236442566,
2594
+ "eval_rouge1": 0.3608261849266158,
2595
+ "eval_rouge2": 0.16796265957036072,
2596
+ "eval_rougeL": 0.300587364099427,
2597
+ "eval_rougeLsum": 0.3018268665573097,
2598
+ "eval_runtime": 22.8495,
2599
+ "eval_samples_per_second": 0.875,
2600
+ "eval_steps_per_second": 0.438,
2601
+ "step": 3600
2602
+ },
2603
+ {
2604
+ "epoch": 7.22,
2605
+ "learning_rate": 0.0001415478615071283,
2606
+ "loss": 1.0231,
2607
+ "step": 3610
2608
+ },
2609
+ {
2610
+ "epoch": 7.24,
2611
+ "learning_rate": 0.00014052953156822812,
2612
+ "loss": 1.043,
2613
+ "step": 3620
2614
+ },
2615
+ {
2616
+ "epoch": 7.26,
2617
+ "learning_rate": 0.0001395112016293279,
2618
+ "loss": 1.0423,
2619
+ "step": 3630
2620
+ },
2621
+ {
2622
+ "epoch": 7.28,
2623
+ "learning_rate": 0.0001384928716904277,
2624
+ "loss": 1.1131,
2625
+ "step": 3640
2626
+ },
2627
+ {
2628
+ "epoch": 7.3,
2629
+ "learning_rate": 0.0001374745417515275,
2630
+ "loss": 1.0106,
2631
+ "step": 3650
2632
+ },
2633
+ {
2634
+ "epoch": 7.32,
2635
+ "learning_rate": 0.0001364562118126273,
2636
+ "loss": 1.0663,
2637
+ "step": 3660
2638
+ },
2639
+ {
2640
+ "epoch": 7.34,
2641
+ "learning_rate": 0.0001354378818737271,
2642
+ "loss": 1.0842,
2643
+ "step": 3670
2644
+ },
2645
+ {
2646
+ "epoch": 7.36,
2647
+ "learning_rate": 0.00013441955193482688,
2648
+ "loss": 1.0482,
2649
+ "step": 3680
2650
+ },
2651
+ {
2652
+ "epoch": 7.38,
2653
+ "learning_rate": 0.0001334012219959267,
2654
+ "loss": 1.1137,
2655
+ "step": 3690
2656
+ },
2657
+ {
2658
+ "epoch": 7.4,
2659
+ "learning_rate": 0.00013238289205702648,
2660
+ "loss": 1.0737,
2661
+ "step": 3700
2662
+ },
2663
+ {
2664
+ "epoch": 7.4,
2665
+ "eval_loss": 0.9295714497566223,
2666
+ "eval_rouge1": 0.35713241736503193,
2667
+ "eval_rouge2": 0.18064337174705725,
2668
+ "eval_rougeL": 0.2977802249700461,
2669
+ "eval_rougeLsum": 0.2990767538657372,
2670
+ "eval_runtime": 21.6594,
2671
+ "eval_samples_per_second": 0.923,
2672
+ "eval_steps_per_second": 0.462,
2673
+ "step": 3700
2674
+ },
2675
+ {
2676
+ "epoch": 7.42,
2677
+ "learning_rate": 0.00013136456211812627,
2678
+ "loss": 1.0793,
2679
+ "step": 3710
2680
+ },
2681
+ {
2682
+ "epoch": 7.44,
2683
+ "learning_rate": 0.00013034623217922606,
2684
+ "loss": 1.0964,
2685
+ "step": 3720
2686
+ },
2687
+ {
2688
+ "epoch": 7.46,
2689
+ "learning_rate": 0.00012932790224032587,
2690
+ "loss": 1.0471,
2691
+ "step": 3730
2692
+ },
2693
+ {
2694
+ "epoch": 7.48,
2695
+ "learning_rate": 0.00012830957230142569,
2696
+ "loss": 1.0647,
2697
+ "step": 3740
2698
+ },
2699
+ {
2700
+ "epoch": 7.5,
2701
+ "learning_rate": 0.00012729124236252545,
2702
+ "loss": 1.095,
2703
+ "step": 3750
2704
+ },
2705
+ {
2706
+ "epoch": 7.52,
2707
+ "learning_rate": 0.00012627291242362526,
2708
+ "loss": 1.0891,
2709
+ "step": 3760
2710
+ },
2711
+ {
2712
+ "epoch": 7.54,
2713
+ "learning_rate": 0.00012525458248472505,
2714
+ "loss": 1.0876,
2715
+ "step": 3770
2716
+ },
2717
+ {
2718
+ "epoch": 7.56,
2719
+ "learning_rate": 0.00012423625254582486,
2720
+ "loss": 1.0112,
2721
+ "step": 3780
2722
+ },
2723
+ {
2724
+ "epoch": 7.58,
2725
+ "learning_rate": 0.00012321792260692465,
2726
+ "loss": 1.0352,
2727
+ "step": 3790
2728
+ },
2729
+ {
2730
+ "epoch": 7.6,
2731
+ "learning_rate": 0.00012219959266802444,
2732
+ "loss": 1.0549,
2733
+ "step": 3800
2734
+ },
2735
+ {
2736
+ "epoch": 7.6,
2737
+ "eval_loss": 0.9341118931770325,
2738
+ "eval_rouge1": 0.35969569162284754,
2739
+ "eval_rouge2": 0.17023162775203884,
2740
+ "eval_rougeL": 0.28257423918684926,
2741
+ "eval_rougeLsum": 0.28412150462963986,
2742
+ "eval_runtime": 22.2811,
2743
+ "eval_samples_per_second": 0.898,
2744
+ "eval_steps_per_second": 0.449,
2745
+ "step": 3800
2746
+ },
2747
+ {
2748
+ "epoch": 7.62,
2749
+ "learning_rate": 0.00012118126272912423,
2750
+ "loss": 1.0636,
2751
+ "step": 3810
2752
+ },
2753
+ {
2754
+ "epoch": 7.64,
2755
+ "learning_rate": 0.00012016293279022404,
2756
+ "loss": 1.0719,
2757
+ "step": 3820
2758
+ },
2759
+ {
2760
+ "epoch": 7.66,
2761
+ "learning_rate": 0.00011914460285132383,
2762
+ "loss": 1.0451,
2763
+ "step": 3830
2764
+ },
2765
+ {
2766
+ "epoch": 7.68,
2767
+ "learning_rate": 0.00011812627291242363,
2768
+ "loss": 1.0509,
2769
+ "step": 3840
2770
+ },
2771
+ {
2772
+ "epoch": 7.7,
2773
+ "learning_rate": 0.00011710794297352342,
2774
+ "loss": 1.0515,
2775
+ "step": 3850
2776
+ },
2777
+ {
2778
+ "epoch": 7.72,
2779
+ "learning_rate": 0.00011608961303462322,
2780
+ "loss": 1.0525,
2781
+ "step": 3860
2782
+ },
2783
+ {
2784
+ "epoch": 7.74,
2785
+ "learning_rate": 0.00011507128309572301,
2786
+ "loss": 1.0751,
2787
+ "step": 3870
2788
+ },
2789
+ {
2790
+ "epoch": 7.76,
2791
+ "learning_rate": 0.00011405295315682282,
2792
+ "loss": 1.059,
2793
+ "step": 3880
2794
+ },
2795
+ {
2796
+ "epoch": 7.78,
2797
+ "learning_rate": 0.00011303462321792261,
2798
+ "loss": 1.0352,
2799
+ "step": 3890
2800
+ },
2801
+ {
2802
+ "epoch": 7.8,
2803
+ "learning_rate": 0.00011201629327902241,
2804
+ "loss": 1.065,
2805
+ "step": 3900
2806
+ },
2807
+ {
2808
+ "epoch": 7.8,
2809
+ "eval_loss": 0.9318963885307312,
2810
+ "eval_rouge1": 0.36719535582225143,
2811
+ "eval_rouge2": 0.18487793490577756,
2812
+ "eval_rougeL": 0.3063474590760422,
2813
+ "eval_rougeLsum": 0.3072518409290927,
2814
+ "eval_runtime": 22.5338,
2815
+ "eval_samples_per_second": 0.888,
2816
+ "eval_steps_per_second": 0.444,
2817
+ "step": 3900
2818
+ },
2819
+ {
2820
+ "epoch": 7.82,
2821
+ "learning_rate": 0.0001109979633401222,
2822
+ "loss": 1.0591,
2823
+ "step": 3910
2824
+ },
2825
+ {
2826
+ "epoch": 7.84,
2827
+ "learning_rate": 0.000109979633401222,
2828
+ "loss": 1.0553,
2829
+ "step": 3920
2830
+ },
2831
+ {
2832
+ "epoch": 7.86,
2833
+ "learning_rate": 0.00010896130346232179,
2834
+ "loss": 1.0766,
2835
+ "step": 3930
2836
+ },
2837
+ {
2838
+ "epoch": 7.88,
2839
+ "learning_rate": 0.0001079429735234216,
2840
+ "loss": 1.0434,
2841
+ "step": 3940
2842
+ },
2843
+ {
2844
+ "epoch": 7.9,
2845
+ "learning_rate": 0.00010692464358452139,
2846
+ "loss": 1.0453,
2847
+ "step": 3950
2848
+ },
2849
+ {
2850
+ "epoch": 7.92,
2851
+ "learning_rate": 0.00010590631364562118,
2852
+ "loss": 1.0754,
2853
+ "step": 3960
2854
+ },
2855
+ {
2856
+ "epoch": 7.94,
2857
+ "learning_rate": 0.00010488798370672098,
2858
+ "loss": 1.0754,
2859
+ "step": 3970
2860
+ },
2861
+ {
2862
+ "epoch": 7.96,
2863
+ "learning_rate": 0.00010386965376782077,
2864
+ "loss": 1.0743,
2865
+ "step": 3980
2866
+ },
2867
+ {
2868
+ "epoch": 7.98,
2869
+ "learning_rate": 0.00010285132382892057,
2870
+ "loss": 1.0792,
2871
+ "step": 3990
2872
+ },
2873
+ {
2874
+ "epoch": 8.0,
2875
+ "learning_rate": 0.00010183299389002037,
2876
+ "loss": 1.0676,
2877
+ "step": 4000
2878
+ },
2879
+ {
2880
+ "epoch": 8.0,
2881
+ "eval_loss": 0.9239376783370972,
2882
+ "eval_rouge1": 0.3708780006445588,
2883
+ "eval_rouge2": 0.18486714155230236,
2884
+ "eval_rougeL": 0.30909528682097154,
2885
+ "eval_rougeLsum": 0.31117436309534663,
2886
+ "eval_runtime": 22.2042,
2887
+ "eval_samples_per_second": 0.901,
2888
+ "eval_steps_per_second": 0.45,
2889
+ "step": 4000
2890
+ },
2891
+ {
2892
+ "epoch": 8.02,
2893
+ "learning_rate": 0.00010081466395112017,
2894
+ "loss": 1.0105,
2895
+ "step": 4010
2896
+ },
2897
+ {
2898
+ "epoch": 8.04,
2899
+ "learning_rate": 9.979633401221996e-05,
2900
+ "loss": 1.0505,
2901
+ "step": 4020
2902
+ },
2903
+ {
2904
+ "epoch": 8.06,
2905
+ "learning_rate": 9.877800407331976e-05,
2906
+ "loss": 1.0375,
2907
+ "step": 4030
2908
+ },
2909
+ {
2910
+ "epoch": 8.08,
2911
+ "learning_rate": 9.775967413441955e-05,
2912
+ "loss": 1.0465,
2913
+ "step": 4040
2914
+ },
2915
+ {
2916
+ "epoch": 8.1,
2917
+ "learning_rate": 9.674134419551935e-05,
2918
+ "loss": 1.0249,
2919
+ "step": 4050
2920
+ },
2921
+ {
2922
+ "epoch": 8.12,
2923
+ "learning_rate": 9.572301425661914e-05,
2924
+ "loss": 1.0806,
2925
+ "step": 4060
2926
+ },
2927
+ {
2928
+ "epoch": 8.14,
2929
+ "learning_rate": 9.470468431771895e-05,
2930
+ "loss": 1.0233,
2931
+ "step": 4070
2932
+ },
2933
+ {
2934
+ "epoch": 8.16,
2935
+ "learning_rate": 9.368635437881874e-05,
2936
+ "loss": 1.0605,
2937
+ "step": 4080
2938
+ },
2939
+ {
2940
+ "epoch": 8.18,
2941
+ "learning_rate": 9.266802443991854e-05,
2942
+ "loss": 1.0336,
2943
+ "step": 4090
2944
+ },
2945
+ {
2946
+ "epoch": 8.2,
2947
+ "learning_rate": 9.164969450101833e-05,
2948
+ "loss": 1.0327,
2949
+ "step": 4100
2950
+ },
2951
+ {
2952
+ "epoch": 8.2,
2953
+ "eval_loss": 0.9313555955886841,
2954
+ "eval_rouge1": 0.3612621102138621,
2955
+ "eval_rouge2": 0.17914853351838206,
2956
+ "eval_rougeL": 0.3058448839143484,
2957
+ "eval_rougeLsum": 0.30736619803392246,
2958
+ "eval_runtime": 21.8087,
2959
+ "eval_samples_per_second": 0.917,
2960
+ "eval_steps_per_second": 0.459,
2961
+ "step": 4100
2962
+ },
2963
+ {
2964
+ "epoch": 8.22,
2965
+ "learning_rate": 9.063136456211812e-05,
2966
+ "loss": 1.0526,
2967
+ "step": 4110
2968
+ },
2969
+ {
2970
+ "epoch": 8.24,
2971
+ "learning_rate": 8.961303462321792e-05,
2972
+ "loss": 1.0063,
2973
+ "step": 4120
2974
+ },
2975
+ {
2976
+ "epoch": 8.26,
2977
+ "learning_rate": 8.859470468431772e-05,
2978
+ "loss": 1.071,
2979
+ "step": 4130
2980
+ },
2981
+ {
2982
+ "epoch": 8.28,
2983
+ "learning_rate": 8.757637474541752e-05,
2984
+ "loss": 1.06,
2985
+ "step": 4140
2986
+ },
2987
+ {
2988
+ "epoch": 8.3,
2989
+ "learning_rate": 8.655804480651731e-05,
2990
+ "loss": 1.016,
2991
+ "step": 4150
2992
+ },
2993
+ {
2994
+ "epoch": 8.32,
2995
+ "learning_rate": 8.553971486761711e-05,
2996
+ "loss": 1.0764,
2997
+ "step": 4160
2998
+ },
2999
+ {
3000
+ "epoch": 8.34,
3001
+ "learning_rate": 8.45213849287169e-05,
3002
+ "loss": 1.0446,
3003
+ "step": 4170
3004
+ },
3005
+ {
3006
+ "epoch": 8.36,
3007
+ "learning_rate": 8.35030549898167e-05,
3008
+ "loss": 1.0479,
3009
+ "step": 4180
3010
+ },
3011
+ {
3012
+ "epoch": 8.38,
3013
+ "learning_rate": 8.24847250509165e-05,
3014
+ "loss": 1.0283,
3015
+ "step": 4190
3016
+ },
3017
+ {
3018
+ "epoch": 8.4,
3019
+ "learning_rate": 8.14663951120163e-05,
3020
+ "loss": 1.0532,
3021
+ "step": 4200
3022
+ },
3023
+ {
3024
+ "epoch": 8.4,
3025
+ "eval_loss": 0.9309422373771667,
3026
+ "eval_rouge1": 0.3629265409740602,
3027
+ "eval_rouge2": 0.18256578670757062,
3028
+ "eval_rougeL": 0.30644935758402025,
3029
+ "eval_rougeLsum": 0.3074292385019225,
3030
+ "eval_runtime": 21.7991,
3031
+ "eval_samples_per_second": 0.917,
3032
+ "eval_steps_per_second": 0.459,
3033
+ "step": 4200
3034
+ },
3035
+ {
3036
+ "epoch": 8.42,
3037
+ "learning_rate": 8.044806517311609e-05,
3038
+ "loss": 1.0408,
3039
+ "step": 4210
3040
+ },
3041
+ {
3042
+ "epoch": 8.44,
3043
+ "learning_rate": 7.942973523421589e-05,
3044
+ "loss": 1.0554,
3045
+ "step": 4220
3046
+ },
3047
+ {
3048
+ "epoch": 8.46,
3049
+ "learning_rate": 7.841140529531568e-05,
3050
+ "loss": 1.086,
3051
+ "step": 4230
3052
+ },
3053
+ {
3054
+ "epoch": 8.48,
3055
+ "learning_rate": 7.739307535641548e-05,
3056
+ "loss": 1.0316,
3057
+ "step": 4240
3058
+ },
3059
+ {
3060
+ "epoch": 8.5,
3061
+ "learning_rate": 7.637474541751528e-05,
3062
+ "loss": 1.052,
3063
+ "step": 4250
3064
+ },
3065
+ {
3066
+ "epoch": 8.52,
3067
+ "learning_rate": 7.535641547861507e-05,
3068
+ "loss": 1.0419,
3069
+ "step": 4260
3070
+ },
3071
+ {
3072
+ "epoch": 8.54,
3073
+ "learning_rate": 7.433808553971487e-05,
3074
+ "loss": 1.0657,
3075
+ "step": 4270
3076
+ },
3077
+ {
3078
+ "epoch": 8.56,
3079
+ "learning_rate": 7.331975560081466e-05,
3080
+ "loss": 1.03,
3081
+ "step": 4280
3082
+ },
3083
+ {
3084
+ "epoch": 8.58,
3085
+ "learning_rate": 7.230142566191446e-05,
3086
+ "loss": 1.042,
3087
+ "step": 4290
3088
+ },
3089
+ {
3090
+ "epoch": 8.6,
3091
+ "learning_rate": 7.128309572301425e-05,
3092
+ "loss": 1.0649,
3093
+ "step": 4300
3094
+ },
3095
+ {
3096
+ "epoch": 8.6,
3097
+ "eval_loss": 0.9269277453422546,
3098
+ "eval_rouge1": 0.3670666365189951,
3099
+ "eval_rouge2": 0.18356209763485815,
3100
+ "eval_rougeL": 0.3012090907355077,
3101
+ "eval_rougeLsum": 0.3039222282541081,
3102
+ "eval_runtime": 22.1694,
3103
+ "eval_samples_per_second": 0.902,
3104
+ "eval_steps_per_second": 0.451,
3105
+ "step": 4300
3106
+ },
3107
+ {
3108
+ "epoch": 8.62,
3109
+ "learning_rate": 7.026476578411406e-05,
3110
+ "loss": 1.0671,
3111
+ "step": 4310
3112
+ },
3113
+ {
3114
+ "epoch": 8.64,
3115
+ "learning_rate": 6.924643584521385e-05,
3116
+ "loss": 1.0237,
3117
+ "step": 4320
3118
+ },
3119
+ {
3120
+ "epoch": 8.66,
3121
+ "learning_rate": 6.822810590631365e-05,
3122
+ "loss": 1.0582,
3123
+ "step": 4330
3124
+ },
3125
+ {
3126
+ "epoch": 8.68,
3127
+ "learning_rate": 6.720977596741344e-05,
3128
+ "loss": 1.0325,
3129
+ "step": 4340
3130
+ },
3131
+ {
3132
+ "epoch": 8.7,
3133
+ "learning_rate": 6.619144602851324e-05,
3134
+ "loss": 1.0474,
3135
+ "step": 4350
3136
+ },
3137
+ {
3138
+ "epoch": 8.72,
3139
+ "learning_rate": 6.517311608961303e-05,
3140
+ "loss": 1.0346,
3141
+ "step": 4360
3142
+ },
3143
+ {
3144
+ "epoch": 8.74,
3145
+ "learning_rate": 6.415478615071284e-05,
3146
+ "loss": 1.063,
3147
+ "step": 4370
3148
+ },
3149
+ {
3150
+ "epoch": 8.76,
3151
+ "learning_rate": 6.313645621181263e-05,
3152
+ "loss": 1.0337,
3153
+ "step": 4380
3154
+ },
3155
+ {
3156
+ "epoch": 8.78,
3157
+ "learning_rate": 6.211812627291243e-05,
3158
+ "loss": 1.0531,
3159
+ "step": 4390
3160
+ },
3161
+ {
3162
+ "epoch": 8.8,
3163
+ "learning_rate": 6.109979633401222e-05,
3164
+ "loss": 1.073,
3165
+ "step": 4400
3166
+ },
3167
+ {
3168
+ "epoch": 8.8,
3169
+ "eval_loss": 0.9253420829772949,
3170
+ "eval_rouge1": 0.3653533114499009,
3171
+ "eval_rouge2": 0.17889561755188924,
3172
+ "eval_rougeL": 0.30070525024462247,
3173
+ "eval_rougeLsum": 0.3024312386336895,
3174
+ "eval_runtime": 21.8579,
3175
+ "eval_samples_per_second": 0.915,
3176
+ "eval_steps_per_second": 0.458,
3177
+ "step": 4400
3178
+ },
3179
+ {
3180
+ "epoch": 8.82,
3181
+ "learning_rate": 6.008146639511202e-05,
3182
+ "loss": 1.0716,
3183
+ "step": 4410
3184
+ },
3185
+ {
3186
+ "epoch": 8.84,
3187
+ "learning_rate": 5.9063136456211815e-05,
3188
+ "loss": 1.0522,
3189
+ "step": 4420
3190
+ },
3191
+ {
3192
+ "epoch": 8.86,
3193
+ "learning_rate": 5.804480651731161e-05,
3194
+ "loss": 1.0401,
3195
+ "step": 4430
3196
+ },
3197
+ {
3198
+ "epoch": 8.88,
3199
+ "learning_rate": 5.702647657841141e-05,
3200
+ "loss": 1.0178,
3201
+ "step": 4440
3202
+ },
3203
+ {
3204
+ "epoch": 8.9,
3205
+ "learning_rate": 5.6008146639511206e-05,
3206
+ "loss": 1.1043,
3207
+ "step": 4450
3208
+ },
3209
+ {
3210
+ "epoch": 8.92,
3211
+ "learning_rate": 5.4989816700611e-05,
3212
+ "loss": 1.0424,
3213
+ "step": 4460
3214
+ },
3215
+ {
3216
+ "epoch": 8.94,
3217
+ "learning_rate": 5.39714867617108e-05,
3218
+ "loss": 1.0599,
3219
+ "step": 4470
3220
+ },
3221
+ {
3222
+ "epoch": 8.96,
3223
+ "learning_rate": 5.295315682281059e-05,
3224
+ "loss": 1.0331,
3225
+ "step": 4480
3226
+ },
3227
+ {
3228
+ "epoch": 8.98,
3229
+ "learning_rate": 5.1934826883910384e-05,
3230
+ "loss": 1.0467,
3231
+ "step": 4490
3232
+ },
3233
+ {
3234
+ "epoch": 9.0,
3235
+ "learning_rate": 5.0916496945010185e-05,
3236
+ "loss": 1.0491,
3237
+ "step": 4500
3238
+ },
3239
+ {
3240
+ "epoch": 9.0,
3241
+ "eval_loss": 0.9241307973861694,
3242
+ "eval_rouge1": 0.3664328537702999,
3243
+ "eval_rouge2": 0.18102691382663055,
3244
+ "eval_rougeL": 0.2998899427822319,
3245
+ "eval_rougeLsum": 0.301943630367904,
3246
+ "eval_runtime": 22.1092,
3247
+ "eval_samples_per_second": 0.905,
3248
+ "eval_steps_per_second": 0.452,
3249
+ "step": 4500
3250
+ }
3251
+ ],
3252
+ "logging_steps": 10,
3253
+ "max_steps": 5000,
3254
+ "num_input_tokens_seen": 0,
3255
+ "num_train_epochs": 10,
3256
+ "save_steps": 500,
3257
+ "total_flos": 3.0455982194688e+17,
3258
+ "train_batch_size": 4,
3259
+ "trial_name": null,
3260
+ "trial_params": null
3261
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f88382c56410581ffd5ccbae54944d036343700176e572c15a967f7dbdaf2952
3
+ size 4792