learn3r commited on
Commit
32d841f
1 Parent(s): 9bd619d

End of training

Browse files
Files changed (5) hide show
  1. README.md +21 -8
  2. all_results.json +18 -0
  3. eval_results.json +13 -0
  4. train_results.json +8 -0
  5. trainer_state.json +4173 -0
README.md CHANGED
@@ -1,11 +1,24 @@
1
  ---
 
2
  tags:
3
  - generated_from_trainer
 
 
4
  metrics:
5
  - rouge
6
  model-index:
7
  - name: longt5_xl_gov_memsum_bp_10
8
- results: []
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,14 +26,14 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # longt5_xl_gov_memsum_bp_10
15
 
16
- This model was trained from scratch on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 1.5508
19
- - Rouge1: 64.1251
20
- - Rouge2: 36.9601
21
- - Rougel: 34.8068
22
- - Rougelsum: 61.9673
23
- - Gen Len: 1052.8817
24
 
25
  ## Model description
26
 
 
1
  ---
2
+ base_model: /exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_5/checkpoint-1360
3
  tags:
4
  - generated_from_trainer
5
+ datasets:
6
+ - learn3r/gov_report_memsum_bp
7
  metrics:
8
  - rouge
9
  model-index:
10
  - name: longt5_xl_gov_memsum_bp_10
11
+ results:
12
+ - task:
13
+ name: Summarization
14
+ type: summarization
15
+ dataset:
16
+ name: learn3r/gov_report_memsum_bp
17
+ type: learn3r/gov_report_memsum_bp
18
+ metrics:
19
+ - name: Rouge1
20
+ type: rouge
21
+ value: 67.1508
22
  ---
23
 
24
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
26
 
27
  # longt5_xl_gov_memsum_bp_10
28
 
29
+ This model is a fine-tuned version of [/exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_5/checkpoint-1360](https://huggingface.co//exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_5/checkpoint-1360) on the learn3r/gov_report_memsum_bp dataset.
30
  It achieves the following results on the evaluation set:
31
+ - Loss: 1.1440
32
+ - Rouge1: 67.1508
33
+ - Rouge2: 38.9594
34
+ - Rougel: 36.6571
35
+ - Rougelsum: 64.7944
36
+ - Gen Len: 712.0165
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.99,
3
+ "eval_gen_len": 712.0164609053498,
4
+ "eval_loss": 1.1440205574035645,
5
+ "eval_rouge1": 67.1508,
6
+ "eval_rouge2": 38.9594,
7
+ "eval_rougeL": 36.6571,
8
+ "eval_rougeLsum": 64.7944,
9
+ "eval_runtime": 5790.7455,
10
+ "eval_samples": 972,
11
+ "eval_samples_per_second": 0.168,
12
+ "eval_steps_per_second": 0.021,
13
+ "train_loss": 0.28696994373903556,
14
+ "train_runtime": 83467.5082,
15
+ "train_samples": 17457,
16
+ "train_samples_per_second": 1.046,
17
+ "train_steps_per_second": 0.016
18
+ }
eval_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.99,
3
+ "eval_gen_len": 712.0164609053498,
4
+ "eval_loss": 1.1440205574035645,
5
+ "eval_rouge1": 67.1508,
6
+ "eval_rouge2": 38.9594,
7
+ "eval_rougeL": 36.6571,
8
+ "eval_rougeLsum": 64.7944,
9
+ "eval_runtime": 5790.7455,
10
+ "eval_samples": 972,
11
+ "eval_samples_per_second": 0.168,
12
+ "eval_steps_per_second": 0.021
13
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 4.99,
3
+ "train_loss": 0.28696994373903556,
4
+ "train_runtime": 83467.5082,
5
+ "train_samples": 17457,
6
+ "train_samples_per_second": 1.046,
7
+ "train_steps_per_second": 0.016
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,4173 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.1440205574035645,
3
+ "best_model_checkpoint": "/exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_10/checkpoint-272",
4
+ "epoch": 4.9859655152660824,
5
+ "eval_steps": 500,
6
+ "global_step": 1360,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 0.001,
14
+ "loss": 0.4576,
15
+ "step": 2
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 0.001,
20
+ "loss": 0.4467,
21
+ "step": 4
22
+ },
23
+ {
24
+ "epoch": 0.02,
25
+ "learning_rate": 0.001,
26
+ "loss": 0.4584,
27
+ "step": 6
28
+ },
29
+ {
30
+ "epoch": 0.03,
31
+ "learning_rate": 0.001,
32
+ "loss": 0.4524,
33
+ "step": 8
34
+ },
35
+ {
36
+ "epoch": 0.04,
37
+ "learning_rate": 0.001,
38
+ "loss": 0.442,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.04,
43
+ "learning_rate": 0.001,
44
+ "loss": 0.4661,
45
+ "step": 12
46
+ },
47
+ {
48
+ "epoch": 0.05,
49
+ "learning_rate": 0.001,
50
+ "loss": 0.4156,
51
+ "step": 14
52
+ },
53
+ {
54
+ "epoch": 0.06,
55
+ "learning_rate": 0.001,
56
+ "loss": 0.4305,
57
+ "step": 16
58
+ },
59
+ {
60
+ "epoch": 0.07,
61
+ "learning_rate": 0.001,
62
+ "loss": 0.4481,
63
+ "step": 18
64
+ },
65
+ {
66
+ "epoch": 0.07,
67
+ "learning_rate": 0.001,
68
+ "loss": 0.438,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.08,
73
+ "learning_rate": 0.001,
74
+ "loss": 0.4379,
75
+ "step": 22
76
+ },
77
+ {
78
+ "epoch": 0.09,
79
+ "learning_rate": 0.001,
80
+ "loss": 0.4451,
81
+ "step": 24
82
+ },
83
+ {
84
+ "epoch": 0.1,
85
+ "learning_rate": 0.001,
86
+ "loss": 0.4514,
87
+ "step": 26
88
+ },
89
+ {
90
+ "epoch": 0.1,
91
+ "learning_rate": 0.001,
92
+ "loss": 0.4609,
93
+ "step": 28
94
+ },
95
+ {
96
+ "epoch": 0.11,
97
+ "learning_rate": 0.001,
98
+ "loss": 0.4606,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.12,
103
+ "learning_rate": 0.001,
104
+ "loss": 0.4187,
105
+ "step": 32
106
+ },
107
+ {
108
+ "epoch": 0.12,
109
+ "learning_rate": 0.001,
110
+ "loss": 0.4167,
111
+ "step": 34
112
+ },
113
+ {
114
+ "epoch": 0.13,
115
+ "learning_rate": 0.001,
116
+ "loss": 0.4537,
117
+ "step": 36
118
+ },
119
+ {
120
+ "epoch": 0.14,
121
+ "learning_rate": 0.001,
122
+ "loss": 0.4346,
123
+ "step": 38
124
+ },
125
+ {
126
+ "epoch": 0.15,
127
+ "learning_rate": 0.001,
128
+ "loss": 0.4076,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.15,
133
+ "learning_rate": 0.001,
134
+ "loss": 0.425,
135
+ "step": 42
136
+ },
137
+ {
138
+ "epoch": 0.16,
139
+ "learning_rate": 0.001,
140
+ "loss": 0.4528,
141
+ "step": 44
142
+ },
143
+ {
144
+ "epoch": 0.17,
145
+ "learning_rate": 0.001,
146
+ "loss": 0.4113,
147
+ "step": 46
148
+ },
149
+ {
150
+ "epoch": 0.18,
151
+ "learning_rate": 0.001,
152
+ "loss": 0.4102,
153
+ "step": 48
154
+ },
155
+ {
156
+ "epoch": 0.18,
157
+ "learning_rate": 0.001,
158
+ "loss": 0.4566,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.19,
163
+ "learning_rate": 0.001,
164
+ "loss": 0.4094,
165
+ "step": 52
166
+ },
167
+ {
168
+ "epoch": 0.2,
169
+ "learning_rate": 0.001,
170
+ "loss": 0.4526,
171
+ "step": 54
172
+ },
173
+ {
174
+ "epoch": 0.21,
175
+ "learning_rate": 0.001,
176
+ "loss": 0.3933,
177
+ "step": 56
178
+ },
179
+ {
180
+ "epoch": 0.21,
181
+ "learning_rate": 0.001,
182
+ "loss": 0.4001,
183
+ "step": 58
184
+ },
185
+ {
186
+ "epoch": 0.22,
187
+ "learning_rate": 0.001,
188
+ "loss": 0.4151,
189
+ "step": 60
190
+ },
191
+ {
192
+ "epoch": 0.23,
193
+ "learning_rate": 0.001,
194
+ "loss": 0.4658,
195
+ "step": 62
196
+ },
197
+ {
198
+ "epoch": 0.23,
199
+ "learning_rate": 0.001,
200
+ "loss": 0.433,
201
+ "step": 64
202
+ },
203
+ {
204
+ "epoch": 0.24,
205
+ "learning_rate": 0.001,
206
+ "loss": 0.4107,
207
+ "step": 66
208
+ },
209
+ {
210
+ "epoch": 0.25,
211
+ "learning_rate": 0.001,
212
+ "loss": 0.4278,
213
+ "step": 68
214
+ },
215
+ {
216
+ "epoch": 0.26,
217
+ "learning_rate": 0.001,
218
+ "loss": 0.5057,
219
+ "step": 70
220
+ },
221
+ {
222
+ "epoch": 0.26,
223
+ "learning_rate": 0.001,
224
+ "loss": 0.4444,
225
+ "step": 72
226
+ },
227
+ {
228
+ "epoch": 0.27,
229
+ "learning_rate": 0.001,
230
+ "loss": 0.4374,
231
+ "step": 74
232
+ },
233
+ {
234
+ "epoch": 0.28,
235
+ "learning_rate": 0.001,
236
+ "loss": 0.4697,
237
+ "step": 76
238
+ },
239
+ {
240
+ "epoch": 0.29,
241
+ "learning_rate": 0.001,
242
+ "loss": 0.421,
243
+ "step": 78
244
+ },
245
+ {
246
+ "epoch": 0.29,
247
+ "learning_rate": 0.001,
248
+ "loss": 0.4495,
249
+ "step": 80
250
+ },
251
+ {
252
+ "epoch": 0.3,
253
+ "learning_rate": 0.001,
254
+ "loss": 0.4596,
255
+ "step": 82
256
+ },
257
+ {
258
+ "epoch": 0.31,
259
+ "learning_rate": 0.001,
260
+ "loss": 0.4083,
261
+ "step": 84
262
+ },
263
+ {
264
+ "epoch": 0.32,
265
+ "learning_rate": 0.001,
266
+ "loss": 0.4435,
267
+ "step": 86
268
+ },
269
+ {
270
+ "epoch": 0.32,
271
+ "learning_rate": 0.001,
272
+ "loss": 0.4814,
273
+ "step": 88
274
+ },
275
+ {
276
+ "epoch": 0.33,
277
+ "learning_rate": 0.001,
278
+ "loss": 0.4491,
279
+ "step": 90
280
+ },
281
+ {
282
+ "epoch": 0.34,
283
+ "learning_rate": 0.001,
284
+ "loss": 0.439,
285
+ "step": 92
286
+ },
287
+ {
288
+ "epoch": 0.34,
289
+ "learning_rate": 0.001,
290
+ "loss": 0.4386,
291
+ "step": 94
292
+ },
293
+ {
294
+ "epoch": 0.35,
295
+ "learning_rate": 0.001,
296
+ "loss": 0.4229,
297
+ "step": 96
298
+ },
299
+ {
300
+ "epoch": 0.36,
301
+ "learning_rate": 0.001,
302
+ "loss": 0.4522,
303
+ "step": 98
304
+ },
305
+ {
306
+ "epoch": 0.37,
307
+ "learning_rate": 0.001,
308
+ "loss": 0.4331,
309
+ "step": 100
310
+ },
311
+ {
312
+ "epoch": 0.37,
313
+ "learning_rate": 0.001,
314
+ "loss": 0.4555,
315
+ "step": 102
316
+ },
317
+ {
318
+ "epoch": 0.38,
319
+ "learning_rate": 0.001,
320
+ "loss": 0.4376,
321
+ "step": 104
322
+ },
323
+ {
324
+ "epoch": 0.39,
325
+ "learning_rate": 0.001,
326
+ "loss": 0.4271,
327
+ "step": 106
328
+ },
329
+ {
330
+ "epoch": 0.4,
331
+ "learning_rate": 0.001,
332
+ "loss": 0.4094,
333
+ "step": 108
334
+ },
335
+ {
336
+ "epoch": 0.4,
337
+ "learning_rate": 0.001,
338
+ "loss": 0.4338,
339
+ "step": 110
340
+ },
341
+ {
342
+ "epoch": 0.41,
343
+ "learning_rate": 0.001,
344
+ "loss": 0.4111,
345
+ "step": 112
346
+ },
347
+ {
348
+ "epoch": 0.42,
349
+ "learning_rate": 0.001,
350
+ "loss": 0.4415,
351
+ "step": 114
352
+ },
353
+ {
354
+ "epoch": 0.43,
355
+ "learning_rate": 0.001,
356
+ "loss": 0.4416,
357
+ "step": 116
358
+ },
359
+ {
360
+ "epoch": 0.43,
361
+ "learning_rate": 0.001,
362
+ "loss": 0.442,
363
+ "step": 118
364
+ },
365
+ {
366
+ "epoch": 0.44,
367
+ "learning_rate": 0.001,
368
+ "loss": 0.4403,
369
+ "step": 120
370
+ },
371
+ {
372
+ "epoch": 0.45,
373
+ "learning_rate": 0.001,
374
+ "loss": 0.4654,
375
+ "step": 122
376
+ },
377
+ {
378
+ "epoch": 0.45,
379
+ "learning_rate": 0.001,
380
+ "loss": 0.4456,
381
+ "step": 124
382
+ },
383
+ {
384
+ "epoch": 0.46,
385
+ "learning_rate": 0.001,
386
+ "loss": 0.4327,
387
+ "step": 126
388
+ },
389
+ {
390
+ "epoch": 0.47,
391
+ "learning_rate": 0.001,
392
+ "loss": 0.4275,
393
+ "step": 128
394
+ },
395
+ {
396
+ "epoch": 0.48,
397
+ "learning_rate": 0.001,
398
+ "loss": 0.4047,
399
+ "step": 130
400
+ },
401
+ {
402
+ "epoch": 0.48,
403
+ "learning_rate": 0.001,
404
+ "loss": 0.4297,
405
+ "step": 132
406
+ },
407
+ {
408
+ "epoch": 0.49,
409
+ "learning_rate": 0.001,
410
+ "loss": 0.4154,
411
+ "step": 134
412
+ },
413
+ {
414
+ "epoch": 0.5,
415
+ "learning_rate": 0.001,
416
+ "loss": 0.4057,
417
+ "step": 136
418
+ },
419
+ {
420
+ "epoch": 0.51,
421
+ "learning_rate": 0.001,
422
+ "loss": 0.4195,
423
+ "step": 138
424
+ },
425
+ {
426
+ "epoch": 0.51,
427
+ "learning_rate": 0.001,
428
+ "loss": 0.4255,
429
+ "step": 140
430
+ },
431
+ {
432
+ "epoch": 0.52,
433
+ "learning_rate": 0.001,
434
+ "loss": 0.4299,
435
+ "step": 142
436
+ },
437
+ {
438
+ "epoch": 0.53,
439
+ "learning_rate": 0.001,
440
+ "loss": 0.4292,
441
+ "step": 144
442
+ },
443
+ {
444
+ "epoch": 0.54,
445
+ "learning_rate": 0.001,
446
+ "loss": 0.4303,
447
+ "step": 146
448
+ },
449
+ {
450
+ "epoch": 0.54,
451
+ "learning_rate": 0.001,
452
+ "loss": 0.4493,
453
+ "step": 148
454
+ },
455
+ {
456
+ "epoch": 0.55,
457
+ "learning_rate": 0.001,
458
+ "loss": 0.4053,
459
+ "step": 150
460
+ },
461
+ {
462
+ "epoch": 0.56,
463
+ "learning_rate": 0.001,
464
+ "loss": 0.4609,
465
+ "step": 152
466
+ },
467
+ {
468
+ "epoch": 0.56,
469
+ "learning_rate": 0.001,
470
+ "loss": 0.4361,
471
+ "step": 154
472
+ },
473
+ {
474
+ "epoch": 0.57,
475
+ "learning_rate": 0.001,
476
+ "loss": 0.4576,
477
+ "step": 156
478
+ },
479
+ {
480
+ "epoch": 0.58,
481
+ "learning_rate": 0.001,
482
+ "loss": 0.406,
483
+ "step": 158
484
+ },
485
+ {
486
+ "epoch": 0.59,
487
+ "learning_rate": 0.001,
488
+ "loss": 0.4255,
489
+ "step": 160
490
+ },
491
+ {
492
+ "epoch": 0.59,
493
+ "learning_rate": 0.001,
494
+ "loss": 0.4329,
495
+ "step": 162
496
+ },
497
+ {
498
+ "epoch": 0.6,
499
+ "learning_rate": 0.001,
500
+ "loss": 0.4671,
501
+ "step": 164
502
+ },
503
+ {
504
+ "epoch": 0.61,
505
+ "learning_rate": 0.001,
506
+ "loss": 0.4617,
507
+ "step": 166
508
+ },
509
+ {
510
+ "epoch": 0.62,
511
+ "learning_rate": 0.001,
512
+ "loss": 0.4204,
513
+ "step": 168
514
+ },
515
+ {
516
+ "epoch": 0.62,
517
+ "learning_rate": 0.001,
518
+ "loss": 0.44,
519
+ "step": 170
520
+ },
521
+ {
522
+ "epoch": 0.63,
523
+ "learning_rate": 0.001,
524
+ "loss": 0.4166,
525
+ "step": 172
526
+ },
527
+ {
528
+ "epoch": 0.64,
529
+ "learning_rate": 0.001,
530
+ "loss": 0.4144,
531
+ "step": 174
532
+ },
533
+ {
534
+ "epoch": 0.65,
535
+ "learning_rate": 0.001,
536
+ "loss": 0.4431,
537
+ "step": 176
538
+ },
539
+ {
540
+ "epoch": 0.65,
541
+ "learning_rate": 0.001,
542
+ "loss": 0.4399,
543
+ "step": 178
544
+ },
545
+ {
546
+ "epoch": 0.66,
547
+ "learning_rate": 0.001,
548
+ "loss": 0.4468,
549
+ "step": 180
550
+ },
551
+ {
552
+ "epoch": 0.67,
553
+ "learning_rate": 0.001,
554
+ "loss": 0.4192,
555
+ "step": 182
556
+ },
557
+ {
558
+ "epoch": 0.67,
559
+ "learning_rate": 0.001,
560
+ "loss": 0.4608,
561
+ "step": 184
562
+ },
563
+ {
564
+ "epoch": 0.68,
565
+ "learning_rate": 0.001,
566
+ "loss": 0.4633,
567
+ "step": 186
568
+ },
569
+ {
570
+ "epoch": 0.69,
571
+ "learning_rate": 0.001,
572
+ "loss": 0.4237,
573
+ "step": 188
574
+ },
575
+ {
576
+ "epoch": 0.7,
577
+ "learning_rate": 0.001,
578
+ "loss": 0.3871,
579
+ "step": 190
580
+ },
581
+ {
582
+ "epoch": 0.7,
583
+ "learning_rate": 0.001,
584
+ "loss": 0.4211,
585
+ "step": 192
586
+ },
587
+ {
588
+ "epoch": 0.71,
589
+ "learning_rate": 0.001,
590
+ "loss": 0.4225,
591
+ "step": 194
592
+ },
593
+ {
594
+ "epoch": 0.72,
595
+ "learning_rate": 0.001,
596
+ "loss": 0.3983,
597
+ "step": 196
598
+ },
599
+ {
600
+ "epoch": 0.73,
601
+ "learning_rate": 0.001,
602
+ "loss": 0.4437,
603
+ "step": 198
604
+ },
605
+ {
606
+ "epoch": 0.73,
607
+ "learning_rate": 0.001,
608
+ "loss": 0.4283,
609
+ "step": 200
610
+ },
611
+ {
612
+ "epoch": 0.74,
613
+ "learning_rate": 0.001,
614
+ "loss": 0.4463,
615
+ "step": 202
616
+ },
617
+ {
618
+ "epoch": 0.75,
619
+ "learning_rate": 0.001,
620
+ "loss": 0.4407,
621
+ "step": 204
622
+ },
623
+ {
624
+ "epoch": 0.76,
625
+ "learning_rate": 0.001,
626
+ "loss": 0.4646,
627
+ "step": 206
628
+ },
629
+ {
630
+ "epoch": 0.76,
631
+ "learning_rate": 0.001,
632
+ "loss": 0.4605,
633
+ "step": 208
634
+ },
635
+ {
636
+ "epoch": 0.77,
637
+ "learning_rate": 0.001,
638
+ "loss": 0.4258,
639
+ "step": 210
640
+ },
641
+ {
642
+ "epoch": 0.78,
643
+ "learning_rate": 0.001,
644
+ "loss": 0.4109,
645
+ "step": 212
646
+ },
647
+ {
648
+ "epoch": 0.78,
649
+ "learning_rate": 0.001,
650
+ "loss": 0.4132,
651
+ "step": 214
652
+ },
653
+ {
654
+ "epoch": 0.79,
655
+ "learning_rate": 0.001,
656
+ "loss": 0.44,
657
+ "step": 216
658
+ },
659
+ {
660
+ "epoch": 0.8,
661
+ "learning_rate": 0.001,
662
+ "loss": 0.4173,
663
+ "step": 218
664
+ },
665
+ {
666
+ "epoch": 0.81,
667
+ "learning_rate": 0.001,
668
+ "loss": 0.4336,
669
+ "step": 220
670
+ },
671
+ {
672
+ "epoch": 0.81,
673
+ "learning_rate": 0.001,
674
+ "loss": 0.4323,
675
+ "step": 222
676
+ },
677
+ {
678
+ "epoch": 0.82,
679
+ "learning_rate": 0.001,
680
+ "loss": 0.4677,
681
+ "step": 224
682
+ },
683
+ {
684
+ "epoch": 0.83,
685
+ "learning_rate": 0.001,
686
+ "loss": 0.4291,
687
+ "step": 226
688
+ },
689
+ {
690
+ "epoch": 0.84,
691
+ "learning_rate": 0.001,
692
+ "loss": 0.4324,
693
+ "step": 228
694
+ },
695
+ {
696
+ "epoch": 0.84,
697
+ "learning_rate": 0.001,
698
+ "loss": 0.4253,
699
+ "step": 230
700
+ },
701
+ {
702
+ "epoch": 0.85,
703
+ "learning_rate": 0.001,
704
+ "loss": 0.398,
705
+ "step": 232
706
+ },
707
+ {
708
+ "epoch": 0.86,
709
+ "learning_rate": 0.001,
710
+ "loss": 0.4411,
711
+ "step": 234
712
+ },
713
+ {
714
+ "epoch": 0.87,
715
+ "learning_rate": 0.001,
716
+ "loss": 0.398,
717
+ "step": 236
718
+ },
719
+ {
720
+ "epoch": 0.87,
721
+ "learning_rate": 0.001,
722
+ "loss": 0.4181,
723
+ "step": 238
724
+ },
725
+ {
726
+ "epoch": 0.88,
727
+ "learning_rate": 0.001,
728
+ "loss": 0.4602,
729
+ "step": 240
730
+ },
731
+ {
732
+ "epoch": 0.89,
733
+ "learning_rate": 0.001,
734
+ "loss": 0.4488,
735
+ "step": 242
736
+ },
737
+ {
738
+ "epoch": 0.89,
739
+ "learning_rate": 0.001,
740
+ "loss": 0.4604,
741
+ "step": 244
742
+ },
743
+ {
744
+ "epoch": 0.9,
745
+ "learning_rate": 0.001,
746
+ "loss": 0.4673,
747
+ "step": 246
748
+ },
749
+ {
750
+ "epoch": 0.91,
751
+ "learning_rate": 0.001,
752
+ "loss": 0.4142,
753
+ "step": 248
754
+ },
755
+ {
756
+ "epoch": 0.92,
757
+ "learning_rate": 0.001,
758
+ "loss": 0.4012,
759
+ "step": 250
760
+ },
761
+ {
762
+ "epoch": 0.92,
763
+ "learning_rate": 0.001,
764
+ "loss": 0.4294,
765
+ "step": 252
766
+ },
767
+ {
768
+ "epoch": 0.93,
769
+ "learning_rate": 0.001,
770
+ "loss": 0.424,
771
+ "step": 254
772
+ },
773
+ {
774
+ "epoch": 0.94,
775
+ "learning_rate": 0.001,
776
+ "loss": 0.439,
777
+ "step": 256
778
+ },
779
+ {
780
+ "epoch": 0.95,
781
+ "learning_rate": 0.001,
782
+ "loss": 0.4476,
783
+ "step": 258
784
+ },
785
+ {
786
+ "epoch": 0.95,
787
+ "learning_rate": 0.001,
788
+ "loss": 0.4294,
789
+ "step": 260
790
+ },
791
+ {
792
+ "epoch": 0.96,
793
+ "learning_rate": 0.001,
794
+ "loss": 0.398,
795
+ "step": 262
796
+ },
797
+ {
798
+ "epoch": 0.97,
799
+ "learning_rate": 0.001,
800
+ "loss": 0.4405,
801
+ "step": 264
802
+ },
803
+ {
804
+ "epoch": 0.98,
805
+ "learning_rate": 0.001,
806
+ "loss": 0.4197,
807
+ "step": 266
808
+ },
809
+ {
810
+ "epoch": 0.98,
811
+ "learning_rate": 0.001,
812
+ "loss": 0.4488,
813
+ "step": 268
814
+ },
815
+ {
816
+ "epoch": 0.99,
817
+ "learning_rate": 0.001,
818
+ "loss": 0.4436,
819
+ "step": 270
820
+ },
821
+ {
822
+ "epoch": 1.0,
823
+ "learning_rate": 0.001,
824
+ "loss": 0.4356,
825
+ "step": 272
826
+ },
827
+ {
828
+ "epoch": 1.0,
829
+ "eval_gen_len": 712.0164609053498,
830
+ "eval_loss": 1.1440205574035645,
831
+ "eval_rouge1": 67.1508,
832
+ "eval_rouge2": 38.9594,
833
+ "eval_rougeL": 36.6571,
834
+ "eval_rougeLsum": 64.7944,
835
+ "eval_runtime": 5794.9642,
836
+ "eval_samples_per_second": 0.168,
837
+ "eval_steps_per_second": 0.021,
838
+ "step": 272
839
+ },
840
+ {
841
+ "epoch": 1.0,
842
+ "learning_rate": 0.001,
843
+ "loss": 0.3734,
844
+ "step": 274
845
+ },
846
+ {
847
+ "epoch": 1.01,
848
+ "learning_rate": 0.001,
849
+ "loss": 0.3162,
850
+ "step": 276
851
+ },
852
+ {
853
+ "epoch": 1.02,
854
+ "learning_rate": 0.001,
855
+ "loss": 0.3175,
856
+ "step": 278
857
+ },
858
+ {
859
+ "epoch": 1.03,
860
+ "learning_rate": 0.001,
861
+ "loss": 0.3533,
862
+ "step": 280
863
+ },
864
+ {
865
+ "epoch": 1.03,
866
+ "learning_rate": 0.001,
867
+ "loss": 0.2951,
868
+ "step": 282
869
+ },
870
+ {
871
+ "epoch": 1.04,
872
+ "learning_rate": 0.001,
873
+ "loss": 0.3072,
874
+ "step": 284
875
+ },
876
+ {
877
+ "epoch": 1.05,
878
+ "learning_rate": 0.001,
879
+ "loss": 0.2774,
880
+ "step": 286
881
+ },
882
+ {
883
+ "epoch": 1.06,
884
+ "learning_rate": 0.001,
885
+ "loss": 0.3012,
886
+ "step": 288
887
+ },
888
+ {
889
+ "epoch": 1.06,
890
+ "learning_rate": 0.001,
891
+ "loss": 0.3223,
892
+ "step": 290
893
+ },
894
+ {
895
+ "epoch": 1.07,
896
+ "learning_rate": 0.001,
897
+ "loss": 0.2957,
898
+ "step": 292
899
+ },
900
+ {
901
+ "epoch": 1.08,
902
+ "learning_rate": 0.001,
903
+ "loss": 0.287,
904
+ "step": 294
905
+ },
906
+ {
907
+ "epoch": 1.09,
908
+ "learning_rate": 0.001,
909
+ "loss": 0.3065,
910
+ "step": 296
911
+ },
912
+ {
913
+ "epoch": 1.09,
914
+ "learning_rate": 0.001,
915
+ "loss": 0.3109,
916
+ "step": 298
917
+ },
918
+ {
919
+ "epoch": 1.1,
920
+ "learning_rate": 0.001,
921
+ "loss": 0.3126,
922
+ "step": 300
923
+ },
924
+ {
925
+ "epoch": 1.11,
926
+ "learning_rate": 0.001,
927
+ "loss": 0.308,
928
+ "step": 302
929
+ },
930
+ {
931
+ "epoch": 1.11,
932
+ "learning_rate": 0.001,
933
+ "loss": 0.2987,
934
+ "step": 304
935
+ },
936
+ {
937
+ "epoch": 1.12,
938
+ "learning_rate": 0.001,
939
+ "loss": 0.3094,
940
+ "step": 306
941
+ },
942
+ {
943
+ "epoch": 1.13,
944
+ "learning_rate": 0.001,
945
+ "loss": 0.3168,
946
+ "step": 308
947
+ },
948
+ {
949
+ "epoch": 1.14,
950
+ "learning_rate": 0.001,
951
+ "loss": 0.3298,
952
+ "step": 310
953
+ },
954
+ {
955
+ "epoch": 1.14,
956
+ "learning_rate": 0.001,
957
+ "loss": 0.324,
958
+ "step": 312
959
+ },
960
+ {
961
+ "epoch": 1.15,
962
+ "learning_rate": 0.001,
963
+ "loss": 0.3354,
964
+ "step": 314
965
+ },
966
+ {
967
+ "epoch": 1.16,
968
+ "learning_rate": 0.001,
969
+ "loss": 0.3159,
970
+ "step": 316
971
+ },
972
+ {
973
+ "epoch": 1.17,
974
+ "learning_rate": 0.001,
975
+ "loss": 0.2974,
976
+ "step": 318
977
+ },
978
+ {
979
+ "epoch": 1.17,
980
+ "learning_rate": 0.001,
981
+ "loss": 0.3357,
982
+ "step": 320
983
+ },
984
+ {
985
+ "epoch": 1.18,
986
+ "learning_rate": 0.001,
987
+ "loss": 0.3316,
988
+ "step": 322
989
+ },
990
+ {
991
+ "epoch": 1.19,
992
+ "learning_rate": 0.001,
993
+ "loss": 0.3178,
994
+ "step": 324
995
+ },
996
+ {
997
+ "epoch": 1.2,
998
+ "learning_rate": 0.001,
999
+ "loss": 0.3221,
1000
+ "step": 326
1001
+ },
1002
+ {
1003
+ "epoch": 1.2,
1004
+ "learning_rate": 0.001,
1005
+ "loss": 0.327,
1006
+ "step": 328
1007
+ },
1008
+ {
1009
+ "epoch": 1.21,
1010
+ "learning_rate": 0.001,
1011
+ "loss": 0.3247,
1012
+ "step": 330
1013
+ },
1014
+ {
1015
+ "epoch": 1.22,
1016
+ "learning_rate": 0.001,
1017
+ "loss": 0.3374,
1018
+ "step": 332
1019
+ },
1020
+ {
1021
+ "epoch": 1.22,
1022
+ "learning_rate": 0.001,
1023
+ "loss": 0.3361,
1024
+ "step": 334
1025
+ },
1026
+ {
1027
+ "epoch": 1.23,
1028
+ "learning_rate": 0.001,
1029
+ "loss": 0.3316,
1030
+ "step": 336
1031
+ },
1032
+ {
1033
+ "epoch": 1.24,
1034
+ "learning_rate": 0.001,
1035
+ "loss": 0.3189,
1036
+ "step": 338
1037
+ },
1038
+ {
1039
+ "epoch": 1.25,
1040
+ "learning_rate": 0.001,
1041
+ "loss": 0.3211,
1042
+ "step": 340
1043
+ },
1044
+ {
1045
+ "epoch": 1.25,
1046
+ "learning_rate": 0.001,
1047
+ "loss": 0.3119,
1048
+ "step": 342
1049
+ },
1050
+ {
1051
+ "epoch": 1.26,
1052
+ "learning_rate": 0.001,
1053
+ "loss": 0.339,
1054
+ "step": 344
1055
+ },
1056
+ {
1057
+ "epoch": 1.27,
1058
+ "learning_rate": 0.001,
1059
+ "loss": 0.3156,
1060
+ "step": 346
1061
+ },
1062
+ {
1063
+ "epoch": 1.28,
1064
+ "learning_rate": 0.001,
1065
+ "loss": 0.3219,
1066
+ "step": 348
1067
+ },
1068
+ {
1069
+ "epoch": 1.28,
1070
+ "learning_rate": 0.001,
1071
+ "loss": 0.2999,
1072
+ "step": 350
1073
+ },
1074
+ {
1075
+ "epoch": 1.29,
1076
+ "learning_rate": 0.001,
1077
+ "loss": 0.3302,
1078
+ "step": 352
1079
+ },
1080
+ {
1081
+ "epoch": 1.3,
1082
+ "learning_rate": 0.001,
1083
+ "loss": 0.3146,
1084
+ "step": 354
1085
+ },
1086
+ {
1087
+ "epoch": 1.31,
1088
+ "learning_rate": 0.001,
1089
+ "loss": 0.3098,
1090
+ "step": 356
1091
+ },
1092
+ {
1093
+ "epoch": 1.31,
1094
+ "learning_rate": 0.001,
1095
+ "loss": 0.3258,
1096
+ "step": 358
1097
+ },
1098
+ {
1099
+ "epoch": 1.32,
1100
+ "learning_rate": 0.001,
1101
+ "loss": 0.3241,
1102
+ "step": 360
1103
+ },
1104
+ {
1105
+ "epoch": 1.33,
1106
+ "learning_rate": 0.001,
1107
+ "loss": 0.3108,
1108
+ "step": 362
1109
+ },
1110
+ {
1111
+ "epoch": 1.33,
1112
+ "learning_rate": 0.001,
1113
+ "loss": 0.3348,
1114
+ "step": 364
1115
+ },
1116
+ {
1117
+ "epoch": 1.34,
1118
+ "learning_rate": 0.001,
1119
+ "loss": 0.3309,
1120
+ "step": 366
1121
+ },
1122
+ {
1123
+ "epoch": 1.35,
1124
+ "learning_rate": 0.001,
1125
+ "loss": 0.3277,
1126
+ "step": 368
1127
+ },
1128
+ {
1129
+ "epoch": 1.36,
1130
+ "learning_rate": 0.001,
1131
+ "loss": 0.3426,
1132
+ "step": 370
1133
+ },
1134
+ {
1135
+ "epoch": 1.36,
1136
+ "learning_rate": 0.001,
1137
+ "loss": 0.3218,
1138
+ "step": 372
1139
+ },
1140
+ {
1141
+ "epoch": 1.37,
1142
+ "learning_rate": 0.001,
1143
+ "loss": 0.3433,
1144
+ "step": 374
1145
+ },
1146
+ {
1147
+ "epoch": 1.38,
1148
+ "learning_rate": 0.001,
1149
+ "loss": 0.3297,
1150
+ "step": 376
1151
+ },
1152
+ {
1153
+ "epoch": 1.39,
1154
+ "learning_rate": 0.001,
1155
+ "loss": 0.3283,
1156
+ "step": 378
1157
+ },
1158
+ {
1159
+ "epoch": 1.39,
1160
+ "learning_rate": 0.001,
1161
+ "loss": 0.3371,
1162
+ "step": 380
1163
+ },
1164
+ {
1165
+ "epoch": 1.4,
1166
+ "learning_rate": 0.001,
1167
+ "loss": 0.3409,
1168
+ "step": 382
1169
+ },
1170
+ {
1171
+ "epoch": 1.41,
1172
+ "learning_rate": 0.001,
1173
+ "loss": 0.3483,
1174
+ "step": 384
1175
+ },
1176
+ {
1177
+ "epoch": 1.42,
1178
+ "learning_rate": 0.001,
1179
+ "loss": 0.3222,
1180
+ "step": 386
1181
+ },
1182
+ {
1183
+ "epoch": 1.42,
1184
+ "learning_rate": 0.001,
1185
+ "loss": 0.3127,
1186
+ "step": 388
1187
+ },
1188
+ {
1189
+ "epoch": 1.43,
1190
+ "learning_rate": 0.001,
1191
+ "loss": 0.3214,
1192
+ "step": 390
1193
+ },
1194
+ {
1195
+ "epoch": 1.44,
1196
+ "learning_rate": 0.001,
1197
+ "loss": 0.3306,
1198
+ "step": 392
1199
+ },
1200
+ {
1201
+ "epoch": 1.44,
1202
+ "learning_rate": 0.001,
1203
+ "loss": 0.3064,
1204
+ "step": 394
1205
+ },
1206
+ {
1207
+ "epoch": 1.45,
1208
+ "learning_rate": 0.001,
1209
+ "loss": 0.2994,
1210
+ "step": 396
1211
+ },
1212
+ {
1213
+ "epoch": 1.46,
1214
+ "learning_rate": 0.001,
1215
+ "loss": 0.3373,
1216
+ "step": 398
1217
+ },
1218
+ {
1219
+ "epoch": 1.47,
1220
+ "learning_rate": 0.001,
1221
+ "loss": 0.3316,
1222
+ "step": 400
1223
+ },
1224
+ {
1225
+ "epoch": 1.47,
1226
+ "learning_rate": 0.001,
1227
+ "loss": 0.3248,
1228
+ "step": 402
1229
+ },
1230
+ {
1231
+ "epoch": 1.48,
1232
+ "learning_rate": 0.001,
1233
+ "loss": 0.3224,
1234
+ "step": 404
1235
+ },
1236
+ {
1237
+ "epoch": 1.49,
1238
+ "learning_rate": 0.001,
1239
+ "loss": 0.3295,
1240
+ "step": 406
1241
+ },
1242
+ {
1243
+ "epoch": 1.5,
1244
+ "learning_rate": 0.001,
1245
+ "loss": 0.3198,
1246
+ "step": 408
1247
+ },
1248
+ {
1249
+ "epoch": 1.5,
1250
+ "learning_rate": 0.001,
1251
+ "loss": 0.3353,
1252
+ "step": 410
1253
+ },
1254
+ {
1255
+ "epoch": 1.51,
1256
+ "learning_rate": 0.001,
1257
+ "loss": 0.3478,
1258
+ "step": 412
1259
+ },
1260
+ {
1261
+ "epoch": 1.52,
1262
+ "learning_rate": 0.001,
1263
+ "loss": 0.3194,
1264
+ "step": 414
1265
+ },
1266
+ {
1267
+ "epoch": 1.53,
1268
+ "learning_rate": 0.001,
1269
+ "loss": 0.3241,
1270
+ "step": 416
1271
+ },
1272
+ {
1273
+ "epoch": 1.53,
1274
+ "learning_rate": 0.001,
1275
+ "loss": 0.3211,
1276
+ "step": 418
1277
+ },
1278
+ {
1279
+ "epoch": 1.54,
1280
+ "learning_rate": 0.001,
1281
+ "loss": 0.3366,
1282
+ "step": 420
1283
+ },
1284
+ {
1285
+ "epoch": 1.55,
1286
+ "learning_rate": 0.001,
1287
+ "loss": 0.319,
1288
+ "step": 422
1289
+ },
1290
+ {
1291
+ "epoch": 1.55,
1292
+ "learning_rate": 0.001,
1293
+ "loss": 0.3222,
1294
+ "step": 424
1295
+ },
1296
+ {
1297
+ "epoch": 1.56,
1298
+ "learning_rate": 0.001,
1299
+ "loss": 0.3984,
1300
+ "step": 426
1301
+ },
1302
+ {
1303
+ "epoch": 1.57,
1304
+ "learning_rate": 0.001,
1305
+ "loss": 0.3117,
1306
+ "step": 428
1307
+ },
1308
+ {
1309
+ "epoch": 1.58,
1310
+ "learning_rate": 0.001,
1311
+ "loss": 0.3524,
1312
+ "step": 430
1313
+ },
1314
+ {
1315
+ "epoch": 1.58,
1316
+ "learning_rate": 0.001,
1317
+ "loss": 0.3503,
1318
+ "step": 432
1319
+ },
1320
+ {
1321
+ "epoch": 1.59,
1322
+ "learning_rate": 0.001,
1323
+ "loss": 0.3354,
1324
+ "step": 434
1325
+ },
1326
+ {
1327
+ "epoch": 1.6,
1328
+ "learning_rate": 0.001,
1329
+ "loss": 0.3306,
1330
+ "step": 436
1331
+ },
1332
+ {
1333
+ "epoch": 1.61,
1334
+ "learning_rate": 0.001,
1335
+ "loss": 0.336,
1336
+ "step": 438
1337
+ },
1338
+ {
1339
+ "epoch": 1.61,
1340
+ "learning_rate": 0.001,
1341
+ "loss": 0.3556,
1342
+ "step": 440
1343
+ },
1344
+ {
1345
+ "epoch": 1.62,
1346
+ "learning_rate": 0.001,
1347
+ "loss": 0.3452,
1348
+ "step": 442
1349
+ },
1350
+ {
1351
+ "epoch": 1.63,
1352
+ "learning_rate": 0.001,
1353
+ "loss": 0.346,
1354
+ "step": 444
1355
+ },
1356
+ {
1357
+ "epoch": 1.64,
1358
+ "learning_rate": 0.001,
1359
+ "loss": 0.3346,
1360
+ "step": 446
1361
+ },
1362
+ {
1363
+ "epoch": 1.64,
1364
+ "learning_rate": 0.001,
1365
+ "loss": 0.328,
1366
+ "step": 448
1367
+ },
1368
+ {
1369
+ "epoch": 1.65,
1370
+ "learning_rate": 0.001,
1371
+ "loss": 0.3441,
1372
+ "step": 450
1373
+ },
1374
+ {
1375
+ "epoch": 1.66,
1376
+ "learning_rate": 0.001,
1377
+ "loss": 0.3379,
1378
+ "step": 452
1379
+ },
1380
+ {
1381
+ "epoch": 1.66,
1382
+ "learning_rate": 0.001,
1383
+ "loss": 0.3721,
1384
+ "step": 454
1385
+ },
1386
+ {
1387
+ "epoch": 1.67,
1388
+ "learning_rate": 0.001,
1389
+ "loss": 0.3235,
1390
+ "step": 456
1391
+ },
1392
+ {
1393
+ "epoch": 1.68,
1394
+ "learning_rate": 0.001,
1395
+ "loss": 0.325,
1396
+ "step": 458
1397
+ },
1398
+ {
1399
+ "epoch": 1.69,
1400
+ "learning_rate": 0.001,
1401
+ "loss": 0.3409,
1402
+ "step": 460
1403
+ },
1404
+ {
1405
+ "epoch": 1.69,
1406
+ "learning_rate": 0.001,
1407
+ "loss": 0.348,
1408
+ "step": 462
1409
+ },
1410
+ {
1411
+ "epoch": 1.7,
1412
+ "learning_rate": 0.001,
1413
+ "loss": 0.3537,
1414
+ "step": 464
1415
+ },
1416
+ {
1417
+ "epoch": 1.71,
1418
+ "learning_rate": 0.001,
1419
+ "loss": 0.3519,
1420
+ "step": 466
1421
+ },
1422
+ {
1423
+ "epoch": 1.72,
1424
+ "learning_rate": 0.001,
1425
+ "loss": 0.3673,
1426
+ "step": 468
1427
+ },
1428
+ {
1429
+ "epoch": 1.72,
1430
+ "learning_rate": 0.001,
1431
+ "loss": 0.35,
1432
+ "step": 470
1433
+ },
1434
+ {
1435
+ "epoch": 1.73,
1436
+ "learning_rate": 0.001,
1437
+ "loss": 0.3329,
1438
+ "step": 472
1439
+ },
1440
+ {
1441
+ "epoch": 1.74,
1442
+ "learning_rate": 0.001,
1443
+ "loss": 0.3367,
1444
+ "step": 474
1445
+ },
1446
+ {
1447
+ "epoch": 1.75,
1448
+ "learning_rate": 0.001,
1449
+ "loss": 0.3464,
1450
+ "step": 476
1451
+ },
1452
+ {
1453
+ "epoch": 1.75,
1454
+ "learning_rate": 0.001,
1455
+ "loss": 0.3241,
1456
+ "step": 478
1457
+ },
1458
+ {
1459
+ "epoch": 1.76,
1460
+ "learning_rate": 0.001,
1461
+ "loss": 0.328,
1462
+ "step": 480
1463
+ },
1464
+ {
1465
+ "epoch": 1.77,
1466
+ "learning_rate": 0.001,
1467
+ "loss": 0.3553,
1468
+ "step": 482
1469
+ },
1470
+ {
1471
+ "epoch": 1.77,
1472
+ "learning_rate": 0.001,
1473
+ "loss": 0.3468,
1474
+ "step": 484
1475
+ },
1476
+ {
1477
+ "epoch": 1.78,
1478
+ "learning_rate": 0.001,
1479
+ "loss": 0.3232,
1480
+ "step": 486
1481
+ },
1482
+ {
1483
+ "epoch": 1.79,
1484
+ "learning_rate": 0.001,
1485
+ "loss": 0.3397,
1486
+ "step": 488
1487
+ },
1488
+ {
1489
+ "epoch": 1.8,
1490
+ "learning_rate": 0.001,
1491
+ "loss": 0.3248,
1492
+ "step": 490
1493
+ },
1494
+ {
1495
+ "epoch": 1.8,
1496
+ "learning_rate": 0.001,
1497
+ "loss": 0.3359,
1498
+ "step": 492
1499
+ },
1500
+ {
1501
+ "epoch": 1.81,
1502
+ "learning_rate": 0.001,
1503
+ "loss": 0.3472,
1504
+ "step": 494
1505
+ },
1506
+ {
1507
+ "epoch": 1.82,
1508
+ "learning_rate": 0.001,
1509
+ "loss": 0.362,
1510
+ "step": 496
1511
+ },
1512
+ {
1513
+ "epoch": 1.83,
1514
+ "learning_rate": 0.001,
1515
+ "loss": 0.3249,
1516
+ "step": 498
1517
+ },
1518
+ {
1519
+ "epoch": 1.83,
1520
+ "learning_rate": 0.001,
1521
+ "loss": 0.3396,
1522
+ "step": 500
1523
+ },
1524
+ {
1525
+ "epoch": 1.84,
1526
+ "learning_rate": 0.001,
1527
+ "loss": 0.3258,
1528
+ "step": 502
1529
+ },
1530
+ {
1531
+ "epoch": 1.85,
1532
+ "learning_rate": 0.001,
1533
+ "loss": 0.3325,
1534
+ "step": 504
1535
+ },
1536
+ {
1537
+ "epoch": 1.86,
1538
+ "learning_rate": 0.001,
1539
+ "loss": 0.3458,
1540
+ "step": 506
1541
+ },
1542
+ {
1543
+ "epoch": 1.86,
1544
+ "learning_rate": 0.001,
1545
+ "loss": 0.348,
1546
+ "step": 508
1547
+ },
1548
+ {
1549
+ "epoch": 1.87,
1550
+ "learning_rate": 0.001,
1551
+ "loss": 0.328,
1552
+ "step": 510
1553
+ },
1554
+ {
1555
+ "epoch": 1.88,
1556
+ "learning_rate": 0.001,
1557
+ "loss": 0.3431,
1558
+ "step": 512
1559
+ },
1560
+ {
1561
+ "epoch": 1.88,
1562
+ "learning_rate": 0.001,
1563
+ "loss": 0.3471,
1564
+ "step": 514
1565
+ },
1566
+ {
1567
+ "epoch": 1.89,
1568
+ "learning_rate": 0.001,
1569
+ "loss": 0.3412,
1570
+ "step": 516
1571
+ },
1572
+ {
1573
+ "epoch": 1.9,
1574
+ "learning_rate": 0.001,
1575
+ "loss": 0.3562,
1576
+ "step": 518
1577
+ },
1578
+ {
1579
+ "epoch": 1.91,
1580
+ "learning_rate": 0.001,
1581
+ "loss": 0.3314,
1582
+ "step": 520
1583
+ },
1584
+ {
1585
+ "epoch": 1.91,
1586
+ "learning_rate": 0.001,
1587
+ "loss": 0.3507,
1588
+ "step": 522
1589
+ },
1590
+ {
1591
+ "epoch": 1.92,
1592
+ "learning_rate": 0.001,
1593
+ "loss": 0.3274,
1594
+ "step": 524
1595
+ },
1596
+ {
1597
+ "epoch": 1.93,
1598
+ "learning_rate": 0.001,
1599
+ "loss": 0.341,
1600
+ "step": 526
1601
+ },
1602
+ {
1603
+ "epoch": 1.94,
1604
+ "learning_rate": 0.001,
1605
+ "loss": 0.3253,
1606
+ "step": 528
1607
+ },
1608
+ {
1609
+ "epoch": 1.94,
1610
+ "learning_rate": 0.001,
1611
+ "loss": 0.3335,
1612
+ "step": 530
1613
+ },
1614
+ {
1615
+ "epoch": 1.95,
1616
+ "learning_rate": 0.001,
1617
+ "loss": 0.3452,
1618
+ "step": 532
1619
+ },
1620
+ {
1621
+ "epoch": 1.96,
1622
+ "learning_rate": 0.001,
1623
+ "loss": 0.3294,
1624
+ "step": 534
1625
+ },
1626
+ {
1627
+ "epoch": 1.97,
1628
+ "learning_rate": 0.001,
1629
+ "loss": 0.3334,
1630
+ "step": 536
1631
+ },
1632
+ {
1633
+ "epoch": 1.97,
1634
+ "learning_rate": 0.001,
1635
+ "loss": 0.3498,
1636
+ "step": 538
1637
+ },
1638
+ {
1639
+ "epoch": 1.98,
1640
+ "learning_rate": 0.001,
1641
+ "loss": 0.3573,
1642
+ "step": 540
1643
+ },
1644
+ {
1645
+ "epoch": 1.99,
1646
+ "learning_rate": 0.001,
1647
+ "loss": 0.3638,
1648
+ "step": 542
1649
+ },
1650
+ {
1651
+ "epoch": 1.99,
1652
+ "learning_rate": 0.001,
1653
+ "loss": 0.3485,
1654
+ "step": 544
1655
+ },
1656
+ {
1657
+ "epoch": 2.0,
1658
+ "eval_gen_len": 808.4393004115226,
1659
+ "eval_loss": 1.2622333765029907,
1660
+ "eval_rouge1": 66.9296,
1661
+ "eval_rouge2": 38.7595,
1662
+ "eval_rougeL": 36.4964,
1663
+ "eval_rougeLsum": 64.6309,
1664
+ "eval_runtime": 6721.27,
1665
+ "eval_samples_per_second": 0.145,
1666
+ "eval_steps_per_second": 0.018,
1667
+ "step": 545
1668
+ },
1669
+ {
1670
+ "epoch": 2.0,
1671
+ "learning_rate": 0.001,
1672
+ "loss": 0.3388,
1673
+ "step": 546
1674
+ },
1675
+ {
1676
+ "epoch": 2.01,
1677
+ "learning_rate": 0.001,
1678
+ "loss": 0.2616,
1679
+ "step": 548
1680
+ },
1681
+ {
1682
+ "epoch": 2.02,
1683
+ "learning_rate": 0.001,
1684
+ "loss": 0.2541,
1685
+ "step": 550
1686
+ },
1687
+ {
1688
+ "epoch": 2.02,
1689
+ "learning_rate": 0.001,
1690
+ "loss": 0.218,
1691
+ "step": 552
1692
+ },
1693
+ {
1694
+ "epoch": 2.03,
1695
+ "learning_rate": 0.001,
1696
+ "loss": 0.236,
1697
+ "step": 554
1698
+ },
1699
+ {
1700
+ "epoch": 2.04,
1701
+ "learning_rate": 0.001,
1702
+ "loss": 0.2427,
1703
+ "step": 556
1704
+ },
1705
+ {
1706
+ "epoch": 2.05,
1707
+ "learning_rate": 0.001,
1708
+ "loss": 0.2696,
1709
+ "step": 558
1710
+ },
1711
+ {
1712
+ "epoch": 2.05,
1713
+ "learning_rate": 0.001,
1714
+ "loss": 0.2491,
1715
+ "step": 560
1716
+ },
1717
+ {
1718
+ "epoch": 2.06,
1719
+ "learning_rate": 0.001,
1720
+ "loss": 0.2558,
1721
+ "step": 562
1722
+ },
1723
+ {
1724
+ "epoch": 2.07,
1725
+ "learning_rate": 0.001,
1726
+ "loss": 0.2377,
1727
+ "step": 564
1728
+ },
1729
+ {
1730
+ "epoch": 2.08,
1731
+ "learning_rate": 0.001,
1732
+ "loss": 0.2352,
1733
+ "step": 566
1734
+ },
1735
+ {
1736
+ "epoch": 2.08,
1737
+ "learning_rate": 0.001,
1738
+ "loss": 0.2495,
1739
+ "step": 568
1740
+ },
1741
+ {
1742
+ "epoch": 2.09,
1743
+ "learning_rate": 0.001,
1744
+ "loss": 0.2297,
1745
+ "step": 570
1746
+ },
1747
+ {
1748
+ "epoch": 2.1,
1749
+ "learning_rate": 0.001,
1750
+ "loss": 0.2388,
1751
+ "step": 572
1752
+ },
1753
+ {
1754
+ "epoch": 2.1,
1755
+ "learning_rate": 0.001,
1756
+ "loss": 0.2546,
1757
+ "step": 574
1758
+ },
1759
+ {
1760
+ "epoch": 2.11,
1761
+ "learning_rate": 0.001,
1762
+ "loss": 0.2517,
1763
+ "step": 576
1764
+ },
1765
+ {
1766
+ "epoch": 2.12,
1767
+ "learning_rate": 0.001,
1768
+ "loss": 0.2429,
1769
+ "step": 578
1770
+ },
1771
+ {
1772
+ "epoch": 2.13,
1773
+ "learning_rate": 0.001,
1774
+ "loss": 0.242,
1775
+ "step": 580
1776
+ },
1777
+ {
1778
+ "epoch": 2.13,
1779
+ "learning_rate": 0.001,
1780
+ "loss": 0.2522,
1781
+ "step": 582
1782
+ },
1783
+ {
1784
+ "epoch": 2.14,
1785
+ "learning_rate": 0.001,
1786
+ "loss": 0.2755,
1787
+ "step": 584
1788
+ },
1789
+ {
1790
+ "epoch": 2.15,
1791
+ "learning_rate": 0.001,
1792
+ "loss": 0.2646,
1793
+ "step": 586
1794
+ },
1795
+ {
1796
+ "epoch": 2.16,
1797
+ "learning_rate": 0.001,
1798
+ "loss": 0.2645,
1799
+ "step": 588
1800
+ },
1801
+ {
1802
+ "epoch": 2.16,
1803
+ "learning_rate": 0.001,
1804
+ "loss": 0.2544,
1805
+ "step": 590
1806
+ },
1807
+ {
1808
+ "epoch": 2.17,
1809
+ "learning_rate": 0.001,
1810
+ "loss": 0.2482,
1811
+ "step": 592
1812
+ },
1813
+ {
1814
+ "epoch": 2.18,
1815
+ "learning_rate": 0.001,
1816
+ "loss": 0.2406,
1817
+ "step": 594
1818
+ },
1819
+ {
1820
+ "epoch": 2.19,
1821
+ "learning_rate": 0.001,
1822
+ "loss": 0.2621,
1823
+ "step": 596
1824
+ },
1825
+ {
1826
+ "epoch": 2.19,
1827
+ "learning_rate": 0.001,
1828
+ "loss": 0.2566,
1829
+ "step": 598
1830
+ },
1831
+ {
1832
+ "epoch": 2.2,
1833
+ "learning_rate": 0.001,
1834
+ "loss": 0.2569,
1835
+ "step": 600
1836
+ },
1837
+ {
1838
+ "epoch": 2.21,
1839
+ "learning_rate": 0.001,
1840
+ "loss": 0.244,
1841
+ "step": 602
1842
+ },
1843
+ {
1844
+ "epoch": 2.21,
1845
+ "learning_rate": 0.001,
1846
+ "loss": 0.252,
1847
+ "step": 604
1848
+ },
1849
+ {
1850
+ "epoch": 2.22,
1851
+ "learning_rate": 0.001,
1852
+ "loss": 0.2394,
1853
+ "step": 606
1854
+ },
1855
+ {
1856
+ "epoch": 2.23,
1857
+ "learning_rate": 0.001,
1858
+ "loss": 0.2569,
1859
+ "step": 608
1860
+ },
1861
+ {
1862
+ "epoch": 2.24,
1863
+ "learning_rate": 0.001,
1864
+ "loss": 0.253,
1865
+ "step": 610
1866
+ },
1867
+ {
1868
+ "epoch": 2.24,
1869
+ "learning_rate": 0.001,
1870
+ "loss": 0.2411,
1871
+ "step": 612
1872
+ },
1873
+ {
1874
+ "epoch": 2.25,
1875
+ "learning_rate": 0.001,
1876
+ "loss": 0.25,
1877
+ "step": 614
1878
+ },
1879
+ {
1880
+ "epoch": 2.26,
1881
+ "learning_rate": 0.001,
1882
+ "loss": 0.2603,
1883
+ "step": 616
1884
+ },
1885
+ {
1886
+ "epoch": 2.27,
1887
+ "learning_rate": 0.001,
1888
+ "loss": 0.2519,
1889
+ "step": 618
1890
+ },
1891
+ {
1892
+ "epoch": 2.27,
1893
+ "learning_rate": 0.001,
1894
+ "loss": 0.2544,
1895
+ "step": 620
1896
+ },
1897
+ {
1898
+ "epoch": 2.28,
1899
+ "learning_rate": 0.001,
1900
+ "loss": 0.2607,
1901
+ "step": 622
1902
+ },
1903
+ {
1904
+ "epoch": 2.29,
1905
+ "learning_rate": 0.001,
1906
+ "loss": 0.2485,
1907
+ "step": 624
1908
+ },
1909
+ {
1910
+ "epoch": 2.3,
1911
+ "learning_rate": 0.001,
1912
+ "loss": 0.2663,
1913
+ "step": 626
1914
+ },
1915
+ {
1916
+ "epoch": 2.3,
1917
+ "learning_rate": 0.001,
1918
+ "loss": 0.274,
1919
+ "step": 628
1920
+ },
1921
+ {
1922
+ "epoch": 2.31,
1923
+ "learning_rate": 0.001,
1924
+ "loss": 0.2734,
1925
+ "step": 630
1926
+ },
1927
+ {
1928
+ "epoch": 2.32,
1929
+ "learning_rate": 0.001,
1930
+ "loss": 0.2636,
1931
+ "step": 632
1932
+ },
1933
+ {
1934
+ "epoch": 2.32,
1935
+ "learning_rate": 0.001,
1936
+ "loss": 0.2637,
1937
+ "step": 634
1938
+ },
1939
+ {
1940
+ "epoch": 2.33,
1941
+ "learning_rate": 0.001,
1942
+ "loss": 0.2611,
1943
+ "step": 636
1944
+ },
1945
+ {
1946
+ "epoch": 2.34,
1947
+ "learning_rate": 0.001,
1948
+ "loss": 0.2808,
1949
+ "step": 638
1950
+ },
1951
+ {
1952
+ "epoch": 2.35,
1953
+ "learning_rate": 0.001,
1954
+ "loss": 0.2477,
1955
+ "step": 640
1956
+ },
1957
+ {
1958
+ "epoch": 2.35,
1959
+ "learning_rate": 0.001,
1960
+ "loss": 0.2528,
1961
+ "step": 642
1962
+ },
1963
+ {
1964
+ "epoch": 2.36,
1965
+ "learning_rate": 0.001,
1966
+ "loss": 0.2527,
1967
+ "step": 644
1968
+ },
1969
+ {
1970
+ "epoch": 2.37,
1971
+ "learning_rate": 0.001,
1972
+ "loss": 0.2714,
1973
+ "step": 646
1974
+ },
1975
+ {
1976
+ "epoch": 2.38,
1977
+ "learning_rate": 0.001,
1978
+ "loss": 0.2747,
1979
+ "step": 648
1980
+ },
1981
+ {
1982
+ "epoch": 2.38,
1983
+ "learning_rate": 0.001,
1984
+ "loss": 0.2745,
1985
+ "step": 650
1986
+ },
1987
+ {
1988
+ "epoch": 2.39,
1989
+ "learning_rate": 0.001,
1990
+ "loss": 0.2577,
1991
+ "step": 652
1992
+ },
1993
+ {
1994
+ "epoch": 2.4,
1995
+ "learning_rate": 0.001,
1996
+ "loss": 0.2748,
1997
+ "step": 654
1998
+ },
1999
+ {
2000
+ "epoch": 2.4,
2001
+ "learning_rate": 0.001,
2002
+ "loss": 0.2689,
2003
+ "step": 656
2004
+ },
2005
+ {
2006
+ "epoch": 2.41,
2007
+ "learning_rate": 0.001,
2008
+ "loss": 0.2519,
2009
+ "step": 658
2010
+ },
2011
+ {
2012
+ "epoch": 2.42,
2013
+ "learning_rate": 0.001,
2014
+ "loss": 0.2479,
2015
+ "step": 660
2016
+ },
2017
+ {
2018
+ "epoch": 2.43,
2019
+ "learning_rate": 0.001,
2020
+ "loss": 0.2743,
2021
+ "step": 662
2022
+ },
2023
+ {
2024
+ "epoch": 2.43,
2025
+ "learning_rate": 0.001,
2026
+ "loss": 0.278,
2027
+ "step": 664
2028
+ },
2029
+ {
2030
+ "epoch": 2.44,
2031
+ "learning_rate": 0.001,
2032
+ "loss": 0.2815,
2033
+ "step": 666
2034
+ },
2035
+ {
2036
+ "epoch": 2.45,
2037
+ "learning_rate": 0.001,
2038
+ "loss": 0.2685,
2039
+ "step": 668
2040
+ },
2041
+ {
2042
+ "epoch": 2.46,
2043
+ "learning_rate": 0.001,
2044
+ "loss": 0.2479,
2045
+ "step": 670
2046
+ },
2047
+ {
2048
+ "epoch": 2.46,
2049
+ "learning_rate": 0.001,
2050
+ "loss": 0.2634,
2051
+ "step": 672
2052
+ },
2053
+ {
2054
+ "epoch": 2.47,
2055
+ "learning_rate": 0.001,
2056
+ "loss": 0.2602,
2057
+ "step": 674
2058
+ },
2059
+ {
2060
+ "epoch": 2.48,
2061
+ "learning_rate": 0.001,
2062
+ "loss": 0.2601,
2063
+ "step": 676
2064
+ },
2065
+ {
2066
+ "epoch": 2.49,
2067
+ "learning_rate": 0.001,
2068
+ "loss": 0.2703,
2069
+ "step": 678
2070
+ },
2071
+ {
2072
+ "epoch": 2.49,
2073
+ "learning_rate": 0.001,
2074
+ "loss": 0.286,
2075
+ "step": 680
2076
+ },
2077
+ {
2078
+ "epoch": 2.5,
2079
+ "learning_rate": 0.001,
2080
+ "loss": 0.2569,
2081
+ "step": 682
2082
+ },
2083
+ {
2084
+ "epoch": 2.51,
2085
+ "learning_rate": 0.001,
2086
+ "loss": 0.2592,
2087
+ "step": 684
2088
+ },
2089
+ {
2090
+ "epoch": 2.51,
2091
+ "learning_rate": 0.001,
2092
+ "loss": 0.2703,
2093
+ "step": 686
2094
+ },
2095
+ {
2096
+ "epoch": 2.52,
2097
+ "learning_rate": 0.001,
2098
+ "loss": 0.2776,
2099
+ "step": 688
2100
+ },
2101
+ {
2102
+ "epoch": 2.53,
2103
+ "learning_rate": 0.001,
2104
+ "loss": 0.2701,
2105
+ "step": 690
2106
+ },
2107
+ {
2108
+ "epoch": 2.54,
2109
+ "learning_rate": 0.001,
2110
+ "loss": 0.277,
2111
+ "step": 692
2112
+ },
2113
+ {
2114
+ "epoch": 2.54,
2115
+ "learning_rate": 0.001,
2116
+ "loss": 0.2904,
2117
+ "step": 694
2118
+ },
2119
+ {
2120
+ "epoch": 2.55,
2121
+ "learning_rate": 0.001,
2122
+ "loss": 0.2483,
2123
+ "step": 696
2124
+ },
2125
+ {
2126
+ "epoch": 2.56,
2127
+ "learning_rate": 0.001,
2128
+ "loss": 0.254,
2129
+ "step": 698
2130
+ },
2131
+ {
2132
+ "epoch": 2.57,
2133
+ "learning_rate": 0.001,
2134
+ "loss": 0.2639,
2135
+ "step": 700
2136
+ },
2137
+ {
2138
+ "epoch": 2.57,
2139
+ "learning_rate": 0.001,
2140
+ "loss": 0.2731,
2141
+ "step": 702
2142
+ },
2143
+ {
2144
+ "epoch": 2.58,
2145
+ "learning_rate": 0.001,
2146
+ "loss": 0.2528,
2147
+ "step": 704
2148
+ },
2149
+ {
2150
+ "epoch": 2.59,
2151
+ "learning_rate": 0.001,
2152
+ "loss": 0.2544,
2153
+ "step": 706
2154
+ },
2155
+ {
2156
+ "epoch": 2.6,
2157
+ "learning_rate": 0.001,
2158
+ "loss": 0.2564,
2159
+ "step": 708
2160
+ },
2161
+ {
2162
+ "epoch": 2.6,
2163
+ "learning_rate": 0.001,
2164
+ "loss": 0.2779,
2165
+ "step": 710
2166
+ },
2167
+ {
2168
+ "epoch": 2.61,
2169
+ "learning_rate": 0.001,
2170
+ "loss": 0.2774,
2171
+ "step": 712
2172
+ },
2173
+ {
2174
+ "epoch": 2.62,
2175
+ "learning_rate": 0.001,
2176
+ "loss": 0.2521,
2177
+ "step": 714
2178
+ },
2179
+ {
2180
+ "epoch": 2.62,
2181
+ "learning_rate": 0.001,
2182
+ "loss": 0.2784,
2183
+ "step": 716
2184
+ },
2185
+ {
2186
+ "epoch": 2.63,
2187
+ "learning_rate": 0.001,
2188
+ "loss": 0.2565,
2189
+ "step": 718
2190
+ },
2191
+ {
2192
+ "epoch": 2.64,
2193
+ "learning_rate": 0.001,
2194
+ "loss": 0.2832,
2195
+ "step": 720
2196
+ },
2197
+ {
2198
+ "epoch": 2.65,
2199
+ "learning_rate": 0.001,
2200
+ "loss": 0.2757,
2201
+ "step": 722
2202
+ },
2203
+ {
2204
+ "epoch": 2.65,
2205
+ "learning_rate": 0.001,
2206
+ "loss": 0.2725,
2207
+ "step": 724
2208
+ },
2209
+ {
2210
+ "epoch": 2.66,
2211
+ "learning_rate": 0.001,
2212
+ "loss": 0.2794,
2213
+ "step": 726
2214
+ },
2215
+ {
2216
+ "epoch": 2.67,
2217
+ "learning_rate": 0.001,
2218
+ "loss": 0.2485,
2219
+ "step": 728
2220
+ },
2221
+ {
2222
+ "epoch": 2.68,
2223
+ "learning_rate": 0.001,
2224
+ "loss": 0.2842,
2225
+ "step": 730
2226
+ },
2227
+ {
2228
+ "epoch": 2.68,
2229
+ "learning_rate": 0.001,
2230
+ "loss": 0.2784,
2231
+ "step": 732
2232
+ },
2233
+ {
2234
+ "epoch": 2.69,
2235
+ "learning_rate": 0.001,
2236
+ "loss": 0.2825,
2237
+ "step": 734
2238
+ },
2239
+ {
2240
+ "epoch": 2.7,
2241
+ "learning_rate": 0.001,
2242
+ "loss": 0.2517,
2243
+ "step": 736
2244
+ },
2245
+ {
2246
+ "epoch": 2.71,
2247
+ "learning_rate": 0.001,
2248
+ "loss": 0.277,
2249
+ "step": 738
2250
+ },
2251
+ {
2252
+ "epoch": 2.71,
2253
+ "learning_rate": 0.001,
2254
+ "loss": 0.2731,
2255
+ "step": 740
2256
+ },
2257
+ {
2258
+ "epoch": 2.72,
2259
+ "learning_rate": 0.001,
2260
+ "loss": 0.2611,
2261
+ "step": 742
2262
+ },
2263
+ {
2264
+ "epoch": 2.73,
2265
+ "learning_rate": 0.001,
2266
+ "loss": 0.2789,
2267
+ "step": 744
2268
+ },
2269
+ {
2270
+ "epoch": 2.73,
2271
+ "learning_rate": 0.001,
2272
+ "loss": 0.2765,
2273
+ "step": 746
2274
+ },
2275
+ {
2276
+ "epoch": 2.74,
2277
+ "learning_rate": 0.001,
2278
+ "loss": 0.2876,
2279
+ "step": 748
2280
+ },
2281
+ {
2282
+ "epoch": 2.75,
2283
+ "learning_rate": 0.001,
2284
+ "loss": 0.2776,
2285
+ "step": 750
2286
+ },
2287
+ {
2288
+ "epoch": 2.76,
2289
+ "learning_rate": 0.001,
2290
+ "loss": 0.2867,
2291
+ "step": 752
2292
+ },
2293
+ {
2294
+ "epoch": 2.76,
2295
+ "learning_rate": 0.001,
2296
+ "loss": 0.2517,
2297
+ "step": 754
2298
+ },
2299
+ {
2300
+ "epoch": 2.77,
2301
+ "learning_rate": 0.001,
2302
+ "loss": 0.2721,
2303
+ "step": 756
2304
+ },
2305
+ {
2306
+ "epoch": 2.78,
2307
+ "learning_rate": 0.001,
2308
+ "loss": 0.2823,
2309
+ "step": 758
2310
+ },
2311
+ {
2312
+ "epoch": 2.79,
2313
+ "learning_rate": 0.001,
2314
+ "loss": 0.2809,
2315
+ "step": 760
2316
+ },
2317
+ {
2318
+ "epoch": 2.79,
2319
+ "learning_rate": 0.001,
2320
+ "loss": 0.2774,
2321
+ "step": 762
2322
+ },
2323
+ {
2324
+ "epoch": 2.8,
2325
+ "learning_rate": 0.001,
2326
+ "loss": 0.2485,
2327
+ "step": 764
2328
+ },
2329
+ {
2330
+ "epoch": 2.81,
2331
+ "learning_rate": 0.001,
2332
+ "loss": 0.2752,
2333
+ "step": 766
2334
+ },
2335
+ {
2336
+ "epoch": 2.82,
2337
+ "learning_rate": 0.001,
2338
+ "loss": 0.2618,
2339
+ "step": 768
2340
+ },
2341
+ {
2342
+ "epoch": 2.82,
2343
+ "learning_rate": 0.001,
2344
+ "loss": 0.28,
2345
+ "step": 770
2346
+ },
2347
+ {
2348
+ "epoch": 2.83,
2349
+ "learning_rate": 0.001,
2350
+ "loss": 0.2973,
2351
+ "step": 772
2352
+ },
2353
+ {
2354
+ "epoch": 2.84,
2355
+ "learning_rate": 0.001,
2356
+ "loss": 0.2859,
2357
+ "step": 774
2358
+ },
2359
+ {
2360
+ "epoch": 2.84,
2361
+ "learning_rate": 0.001,
2362
+ "loss": 0.2809,
2363
+ "step": 776
2364
+ },
2365
+ {
2366
+ "epoch": 2.85,
2367
+ "learning_rate": 0.001,
2368
+ "loss": 0.2807,
2369
+ "step": 778
2370
+ },
2371
+ {
2372
+ "epoch": 2.86,
2373
+ "learning_rate": 0.001,
2374
+ "loss": 0.2846,
2375
+ "step": 780
2376
+ },
2377
+ {
2378
+ "epoch": 2.87,
2379
+ "learning_rate": 0.001,
2380
+ "loss": 0.2901,
2381
+ "step": 782
2382
+ },
2383
+ {
2384
+ "epoch": 2.87,
2385
+ "learning_rate": 0.001,
2386
+ "loss": 0.2935,
2387
+ "step": 784
2388
+ },
2389
+ {
2390
+ "epoch": 2.88,
2391
+ "learning_rate": 0.001,
2392
+ "loss": 0.2833,
2393
+ "step": 786
2394
+ },
2395
+ {
2396
+ "epoch": 2.89,
2397
+ "learning_rate": 0.001,
2398
+ "loss": 0.2746,
2399
+ "step": 788
2400
+ },
2401
+ {
2402
+ "epoch": 2.9,
2403
+ "learning_rate": 0.001,
2404
+ "loss": 0.2783,
2405
+ "step": 790
2406
+ },
2407
+ {
2408
+ "epoch": 2.9,
2409
+ "learning_rate": 0.001,
2410
+ "loss": 0.282,
2411
+ "step": 792
2412
+ },
2413
+ {
2414
+ "epoch": 2.91,
2415
+ "learning_rate": 0.001,
2416
+ "loss": 0.2933,
2417
+ "step": 794
2418
+ },
2419
+ {
2420
+ "epoch": 2.92,
2421
+ "learning_rate": 0.001,
2422
+ "loss": 0.2693,
2423
+ "step": 796
2424
+ },
2425
+ {
2426
+ "epoch": 2.93,
2427
+ "learning_rate": 0.001,
2428
+ "loss": 0.2489,
2429
+ "step": 798
2430
+ },
2431
+ {
2432
+ "epoch": 2.93,
2433
+ "learning_rate": 0.001,
2434
+ "loss": 0.275,
2435
+ "step": 800
2436
+ },
2437
+ {
2438
+ "epoch": 2.94,
2439
+ "learning_rate": 0.001,
2440
+ "loss": 0.2739,
2441
+ "step": 802
2442
+ },
2443
+ {
2444
+ "epoch": 2.95,
2445
+ "learning_rate": 0.001,
2446
+ "loss": 0.2766,
2447
+ "step": 804
2448
+ },
2449
+ {
2450
+ "epoch": 2.95,
2451
+ "learning_rate": 0.001,
2452
+ "loss": 0.2692,
2453
+ "step": 806
2454
+ },
2455
+ {
2456
+ "epoch": 2.96,
2457
+ "learning_rate": 0.001,
2458
+ "loss": 0.2635,
2459
+ "step": 808
2460
+ },
2461
+ {
2462
+ "epoch": 2.97,
2463
+ "learning_rate": 0.001,
2464
+ "loss": 0.2801,
2465
+ "step": 810
2466
+ },
2467
+ {
2468
+ "epoch": 2.98,
2469
+ "learning_rate": 0.001,
2470
+ "loss": 0.2836,
2471
+ "step": 812
2472
+ },
2473
+ {
2474
+ "epoch": 2.98,
2475
+ "learning_rate": 0.001,
2476
+ "loss": 0.2707,
2477
+ "step": 814
2478
+ },
2479
+ {
2480
+ "epoch": 2.99,
2481
+ "learning_rate": 0.001,
2482
+ "loss": 0.3019,
2483
+ "step": 816
2484
+ },
2485
+ {
2486
+ "epoch": 3.0,
2487
+ "learning_rate": 0.001,
2488
+ "loss": 0.2933,
2489
+ "step": 818
2490
+ },
2491
+ {
2492
+ "epoch": 3.0,
2493
+ "eval_gen_len": 976.033950617284,
2494
+ "eval_loss": 1.380370855331421,
2495
+ "eval_rouge1": 65.3911,
2496
+ "eval_rouge2": 38.0875,
2497
+ "eval_rougeL": 35.5935,
2498
+ "eval_rougeLsum": 63.1902,
2499
+ "eval_runtime": 8154.8246,
2500
+ "eval_samples_per_second": 0.119,
2501
+ "eval_steps_per_second": 0.015,
2502
+ "step": 818
2503
+ },
2504
+ {
2505
+ "epoch": 3.01,
2506
+ "learning_rate": 0.001,
2507
+ "loss": 0.2089,
2508
+ "step": 820
2509
+ },
2510
+ {
2511
+ "epoch": 3.01,
2512
+ "learning_rate": 0.001,
2513
+ "loss": 0.2027,
2514
+ "step": 822
2515
+ },
2516
+ {
2517
+ "epoch": 3.02,
2518
+ "learning_rate": 0.001,
2519
+ "loss": 0.1992,
2520
+ "step": 824
2521
+ },
2522
+ {
2523
+ "epoch": 3.03,
2524
+ "learning_rate": 0.001,
2525
+ "loss": 0.2119,
2526
+ "step": 826
2527
+ },
2528
+ {
2529
+ "epoch": 3.04,
2530
+ "learning_rate": 0.001,
2531
+ "loss": 0.2031,
2532
+ "step": 828
2533
+ },
2534
+ {
2535
+ "epoch": 3.04,
2536
+ "learning_rate": 0.001,
2537
+ "loss": 0.189,
2538
+ "step": 830
2539
+ },
2540
+ {
2541
+ "epoch": 3.05,
2542
+ "learning_rate": 0.001,
2543
+ "loss": 0.1996,
2544
+ "step": 832
2545
+ },
2546
+ {
2547
+ "epoch": 3.06,
2548
+ "learning_rate": 0.001,
2549
+ "loss": 0.1896,
2550
+ "step": 834
2551
+ },
2552
+ {
2553
+ "epoch": 3.06,
2554
+ "learning_rate": 0.001,
2555
+ "loss": 0.2085,
2556
+ "step": 836
2557
+ },
2558
+ {
2559
+ "epoch": 3.07,
2560
+ "learning_rate": 0.001,
2561
+ "loss": 0.2106,
2562
+ "step": 838
2563
+ },
2564
+ {
2565
+ "epoch": 3.08,
2566
+ "learning_rate": 0.001,
2567
+ "loss": 0.2056,
2568
+ "step": 840
2569
+ },
2570
+ {
2571
+ "epoch": 3.09,
2572
+ "learning_rate": 0.001,
2573
+ "loss": 0.1977,
2574
+ "step": 842
2575
+ },
2576
+ {
2577
+ "epoch": 3.09,
2578
+ "learning_rate": 0.001,
2579
+ "loss": 0.1966,
2580
+ "step": 844
2581
+ },
2582
+ {
2583
+ "epoch": 3.1,
2584
+ "learning_rate": 0.001,
2585
+ "loss": 0.2076,
2586
+ "step": 846
2587
+ },
2588
+ {
2589
+ "epoch": 3.11,
2590
+ "learning_rate": 0.001,
2591
+ "loss": 0.1946,
2592
+ "step": 848
2593
+ },
2594
+ {
2595
+ "epoch": 3.12,
2596
+ "learning_rate": 0.001,
2597
+ "loss": 0.2358,
2598
+ "step": 850
2599
+ },
2600
+ {
2601
+ "epoch": 3.12,
2602
+ "learning_rate": 0.001,
2603
+ "loss": 0.2011,
2604
+ "step": 852
2605
+ },
2606
+ {
2607
+ "epoch": 3.13,
2608
+ "learning_rate": 0.001,
2609
+ "loss": 0.2039,
2610
+ "step": 854
2611
+ },
2612
+ {
2613
+ "epoch": 3.14,
2614
+ "learning_rate": 0.001,
2615
+ "loss": 0.2098,
2616
+ "step": 856
2617
+ },
2618
+ {
2619
+ "epoch": 3.15,
2620
+ "learning_rate": 0.001,
2621
+ "loss": 0.1953,
2622
+ "step": 858
2623
+ },
2624
+ {
2625
+ "epoch": 3.15,
2626
+ "learning_rate": 0.001,
2627
+ "loss": 0.196,
2628
+ "step": 860
2629
+ },
2630
+ {
2631
+ "epoch": 3.16,
2632
+ "learning_rate": 0.001,
2633
+ "loss": 0.2122,
2634
+ "step": 862
2635
+ },
2636
+ {
2637
+ "epoch": 3.17,
2638
+ "learning_rate": 0.001,
2639
+ "loss": 0.2076,
2640
+ "step": 864
2641
+ },
2642
+ {
2643
+ "epoch": 3.17,
2644
+ "learning_rate": 0.001,
2645
+ "loss": 0.2093,
2646
+ "step": 866
2647
+ },
2648
+ {
2649
+ "epoch": 3.18,
2650
+ "learning_rate": 0.001,
2651
+ "loss": 0.213,
2652
+ "step": 868
2653
+ },
2654
+ {
2655
+ "epoch": 3.19,
2656
+ "learning_rate": 0.001,
2657
+ "loss": 0.2213,
2658
+ "step": 870
2659
+ },
2660
+ {
2661
+ "epoch": 3.2,
2662
+ "learning_rate": 0.001,
2663
+ "loss": 0.1936,
2664
+ "step": 872
2665
+ },
2666
+ {
2667
+ "epoch": 3.2,
2668
+ "learning_rate": 0.001,
2669
+ "loss": 0.1946,
2670
+ "step": 874
2671
+ },
2672
+ {
2673
+ "epoch": 3.21,
2674
+ "learning_rate": 0.001,
2675
+ "loss": 0.2242,
2676
+ "step": 876
2677
+ },
2678
+ {
2679
+ "epoch": 3.22,
2680
+ "learning_rate": 0.001,
2681
+ "loss": 0.2156,
2682
+ "step": 878
2683
+ },
2684
+ {
2685
+ "epoch": 3.23,
2686
+ "learning_rate": 0.001,
2687
+ "loss": 0.2178,
2688
+ "step": 880
2689
+ },
2690
+ {
2691
+ "epoch": 3.23,
2692
+ "learning_rate": 0.001,
2693
+ "loss": 0.2119,
2694
+ "step": 882
2695
+ },
2696
+ {
2697
+ "epoch": 3.24,
2698
+ "learning_rate": 0.001,
2699
+ "loss": 0.2021,
2700
+ "step": 884
2701
+ },
2702
+ {
2703
+ "epoch": 3.25,
2704
+ "learning_rate": 0.001,
2705
+ "loss": 0.1916,
2706
+ "step": 886
2707
+ },
2708
+ {
2709
+ "epoch": 3.26,
2710
+ "learning_rate": 0.001,
2711
+ "loss": 0.217,
2712
+ "step": 888
2713
+ },
2714
+ {
2715
+ "epoch": 3.26,
2716
+ "learning_rate": 0.001,
2717
+ "loss": 0.2018,
2718
+ "step": 890
2719
+ },
2720
+ {
2721
+ "epoch": 3.27,
2722
+ "learning_rate": 0.001,
2723
+ "loss": 0.2048,
2724
+ "step": 892
2725
+ },
2726
+ {
2727
+ "epoch": 3.28,
2728
+ "learning_rate": 0.001,
2729
+ "loss": 0.2264,
2730
+ "step": 894
2731
+ },
2732
+ {
2733
+ "epoch": 3.28,
2734
+ "learning_rate": 0.001,
2735
+ "loss": 0.2287,
2736
+ "step": 896
2737
+ },
2738
+ {
2739
+ "epoch": 3.29,
2740
+ "learning_rate": 0.001,
2741
+ "loss": 0.2083,
2742
+ "step": 898
2743
+ },
2744
+ {
2745
+ "epoch": 3.3,
2746
+ "learning_rate": 0.001,
2747
+ "loss": 0.2398,
2748
+ "step": 900
2749
+ },
2750
+ {
2751
+ "epoch": 3.31,
2752
+ "learning_rate": 0.001,
2753
+ "loss": 0.2016,
2754
+ "step": 902
2755
+ },
2756
+ {
2757
+ "epoch": 3.31,
2758
+ "learning_rate": 0.001,
2759
+ "loss": 0.2082,
2760
+ "step": 904
2761
+ },
2762
+ {
2763
+ "epoch": 3.32,
2764
+ "learning_rate": 0.001,
2765
+ "loss": 0.2098,
2766
+ "step": 906
2767
+ },
2768
+ {
2769
+ "epoch": 3.33,
2770
+ "learning_rate": 0.001,
2771
+ "loss": 0.2164,
2772
+ "step": 908
2773
+ },
2774
+ {
2775
+ "epoch": 3.34,
2776
+ "learning_rate": 0.001,
2777
+ "loss": 0.2072,
2778
+ "step": 910
2779
+ },
2780
+ {
2781
+ "epoch": 3.34,
2782
+ "learning_rate": 0.001,
2783
+ "loss": 0.2274,
2784
+ "step": 912
2785
+ },
2786
+ {
2787
+ "epoch": 3.35,
2788
+ "learning_rate": 0.001,
2789
+ "loss": 0.2134,
2790
+ "step": 914
2791
+ },
2792
+ {
2793
+ "epoch": 3.36,
2794
+ "learning_rate": 0.001,
2795
+ "loss": 0.2193,
2796
+ "step": 916
2797
+ },
2798
+ {
2799
+ "epoch": 3.37,
2800
+ "learning_rate": 0.001,
2801
+ "loss": 0.2157,
2802
+ "step": 918
2803
+ },
2804
+ {
2805
+ "epoch": 3.37,
2806
+ "learning_rate": 0.001,
2807
+ "loss": 0.2156,
2808
+ "step": 920
2809
+ },
2810
+ {
2811
+ "epoch": 3.38,
2812
+ "learning_rate": 0.001,
2813
+ "loss": 0.2256,
2814
+ "step": 922
2815
+ },
2816
+ {
2817
+ "epoch": 3.39,
2818
+ "learning_rate": 0.001,
2819
+ "loss": 0.2126,
2820
+ "step": 924
2821
+ },
2822
+ {
2823
+ "epoch": 3.39,
2824
+ "learning_rate": 0.001,
2825
+ "loss": 0.2128,
2826
+ "step": 926
2827
+ },
2828
+ {
2829
+ "epoch": 3.4,
2830
+ "learning_rate": 0.001,
2831
+ "loss": 0.2318,
2832
+ "step": 928
2833
+ },
2834
+ {
2835
+ "epoch": 3.41,
2836
+ "learning_rate": 0.001,
2837
+ "loss": 0.2406,
2838
+ "step": 930
2839
+ },
2840
+ {
2841
+ "epoch": 3.42,
2842
+ "learning_rate": 0.001,
2843
+ "loss": 0.216,
2844
+ "step": 932
2845
+ },
2846
+ {
2847
+ "epoch": 3.42,
2848
+ "learning_rate": 0.001,
2849
+ "loss": 0.2316,
2850
+ "step": 934
2851
+ },
2852
+ {
2853
+ "epoch": 3.43,
2854
+ "learning_rate": 0.001,
2855
+ "loss": 0.2221,
2856
+ "step": 936
2857
+ },
2858
+ {
2859
+ "epoch": 3.44,
2860
+ "learning_rate": 0.001,
2861
+ "loss": 0.2177,
2862
+ "step": 938
2863
+ },
2864
+ {
2865
+ "epoch": 3.45,
2866
+ "learning_rate": 0.001,
2867
+ "loss": 0.2091,
2868
+ "step": 940
2869
+ },
2870
+ {
2871
+ "epoch": 3.45,
2872
+ "learning_rate": 0.001,
2873
+ "loss": 0.2198,
2874
+ "step": 942
2875
+ },
2876
+ {
2877
+ "epoch": 3.46,
2878
+ "learning_rate": 0.001,
2879
+ "loss": 0.2361,
2880
+ "step": 944
2881
+ },
2882
+ {
2883
+ "epoch": 3.47,
2884
+ "learning_rate": 0.001,
2885
+ "loss": 0.2279,
2886
+ "step": 946
2887
+ },
2888
+ {
2889
+ "epoch": 3.48,
2890
+ "learning_rate": 0.001,
2891
+ "loss": 0.213,
2892
+ "step": 948
2893
+ },
2894
+ {
2895
+ "epoch": 3.48,
2896
+ "learning_rate": 0.001,
2897
+ "loss": 0.2299,
2898
+ "step": 950
2899
+ },
2900
+ {
2901
+ "epoch": 3.49,
2902
+ "learning_rate": 0.001,
2903
+ "loss": 0.2116,
2904
+ "step": 952
2905
+ },
2906
+ {
2907
+ "epoch": 3.5,
2908
+ "learning_rate": 0.001,
2909
+ "loss": 0.2074,
2910
+ "step": 954
2911
+ },
2912
+ {
2913
+ "epoch": 3.5,
2914
+ "learning_rate": 0.001,
2915
+ "loss": 0.215,
2916
+ "step": 956
2917
+ },
2918
+ {
2919
+ "epoch": 3.51,
2920
+ "learning_rate": 0.001,
2921
+ "loss": 0.2226,
2922
+ "step": 958
2923
+ },
2924
+ {
2925
+ "epoch": 3.52,
2926
+ "learning_rate": 0.001,
2927
+ "loss": 0.2182,
2928
+ "step": 960
2929
+ },
2930
+ {
2931
+ "epoch": 3.53,
2932
+ "learning_rate": 0.001,
2933
+ "loss": 0.2098,
2934
+ "step": 962
2935
+ },
2936
+ {
2937
+ "epoch": 3.53,
2938
+ "learning_rate": 0.001,
2939
+ "loss": 0.2102,
2940
+ "step": 964
2941
+ },
2942
+ {
2943
+ "epoch": 3.54,
2944
+ "learning_rate": 0.001,
2945
+ "loss": 0.2144,
2946
+ "step": 966
2947
+ },
2948
+ {
2949
+ "epoch": 3.55,
2950
+ "learning_rate": 0.001,
2951
+ "loss": 0.2381,
2952
+ "step": 968
2953
+ },
2954
+ {
2955
+ "epoch": 3.56,
2956
+ "learning_rate": 0.001,
2957
+ "loss": 0.2146,
2958
+ "step": 970
2959
+ },
2960
+ {
2961
+ "epoch": 3.56,
2962
+ "learning_rate": 0.001,
2963
+ "loss": 0.2139,
2964
+ "step": 972
2965
+ },
2966
+ {
2967
+ "epoch": 3.57,
2968
+ "learning_rate": 0.001,
2969
+ "loss": 0.2351,
2970
+ "step": 974
2971
+ },
2972
+ {
2973
+ "epoch": 3.58,
2974
+ "learning_rate": 0.001,
2975
+ "loss": 0.2255,
2976
+ "step": 976
2977
+ },
2978
+ {
2979
+ "epoch": 3.59,
2980
+ "learning_rate": 0.001,
2981
+ "loss": 0.2112,
2982
+ "step": 978
2983
+ },
2984
+ {
2985
+ "epoch": 3.59,
2986
+ "learning_rate": 0.001,
2987
+ "loss": 0.2247,
2988
+ "step": 980
2989
+ },
2990
+ {
2991
+ "epoch": 3.6,
2992
+ "learning_rate": 0.001,
2993
+ "loss": 0.2221,
2994
+ "step": 982
2995
+ },
2996
+ {
2997
+ "epoch": 3.61,
2998
+ "learning_rate": 0.001,
2999
+ "loss": 0.2252,
3000
+ "step": 984
3001
+ },
3002
+ {
3003
+ "epoch": 3.61,
3004
+ "learning_rate": 0.001,
3005
+ "loss": 0.2238,
3006
+ "step": 986
3007
+ },
3008
+ {
3009
+ "epoch": 3.62,
3010
+ "learning_rate": 0.001,
3011
+ "loss": 0.226,
3012
+ "step": 988
3013
+ },
3014
+ {
3015
+ "epoch": 3.63,
3016
+ "learning_rate": 0.001,
3017
+ "loss": 0.2295,
3018
+ "step": 990
3019
+ },
3020
+ {
3021
+ "epoch": 3.64,
3022
+ "learning_rate": 0.001,
3023
+ "loss": 0.2435,
3024
+ "step": 992
3025
+ },
3026
+ {
3027
+ "epoch": 3.64,
3028
+ "learning_rate": 0.001,
3029
+ "loss": 0.2331,
3030
+ "step": 994
3031
+ },
3032
+ {
3033
+ "epoch": 3.65,
3034
+ "learning_rate": 0.001,
3035
+ "loss": 0.232,
3036
+ "step": 996
3037
+ },
3038
+ {
3039
+ "epoch": 3.66,
3040
+ "learning_rate": 0.001,
3041
+ "loss": 0.219,
3042
+ "step": 998
3043
+ },
3044
+ {
3045
+ "epoch": 3.67,
3046
+ "learning_rate": 0.001,
3047
+ "loss": 0.2229,
3048
+ "step": 1000
3049
+ },
3050
+ {
3051
+ "epoch": 3.67,
3052
+ "learning_rate": 0.001,
3053
+ "loss": 0.2223,
3054
+ "step": 1002
3055
+ },
3056
+ {
3057
+ "epoch": 3.68,
3058
+ "learning_rate": 0.001,
3059
+ "loss": 0.2039,
3060
+ "step": 1004
3061
+ },
3062
+ {
3063
+ "epoch": 3.69,
3064
+ "learning_rate": 0.001,
3065
+ "loss": 0.2172,
3066
+ "step": 1006
3067
+ },
3068
+ {
3069
+ "epoch": 3.7,
3070
+ "learning_rate": 0.001,
3071
+ "loss": 0.2247,
3072
+ "step": 1008
3073
+ },
3074
+ {
3075
+ "epoch": 3.7,
3076
+ "learning_rate": 0.001,
3077
+ "loss": 0.2175,
3078
+ "step": 1010
3079
+ },
3080
+ {
3081
+ "epoch": 3.71,
3082
+ "learning_rate": 0.001,
3083
+ "loss": 0.2136,
3084
+ "step": 1012
3085
+ },
3086
+ {
3087
+ "epoch": 3.72,
3088
+ "learning_rate": 0.001,
3089
+ "loss": 0.2242,
3090
+ "step": 1014
3091
+ },
3092
+ {
3093
+ "epoch": 3.72,
3094
+ "learning_rate": 0.001,
3095
+ "loss": 0.2148,
3096
+ "step": 1016
3097
+ },
3098
+ {
3099
+ "epoch": 3.73,
3100
+ "learning_rate": 0.001,
3101
+ "loss": 0.2243,
3102
+ "step": 1018
3103
+ },
3104
+ {
3105
+ "epoch": 3.74,
3106
+ "learning_rate": 0.001,
3107
+ "loss": 0.2145,
3108
+ "step": 1020
3109
+ },
3110
+ {
3111
+ "epoch": 3.75,
3112
+ "learning_rate": 0.001,
3113
+ "loss": 0.2261,
3114
+ "step": 1022
3115
+ },
3116
+ {
3117
+ "epoch": 3.75,
3118
+ "learning_rate": 0.001,
3119
+ "loss": 0.2366,
3120
+ "step": 1024
3121
+ },
3122
+ {
3123
+ "epoch": 3.76,
3124
+ "learning_rate": 0.001,
3125
+ "loss": 0.2486,
3126
+ "step": 1026
3127
+ },
3128
+ {
3129
+ "epoch": 3.77,
3130
+ "learning_rate": 0.001,
3131
+ "loss": 0.2361,
3132
+ "step": 1028
3133
+ },
3134
+ {
3135
+ "epoch": 3.78,
3136
+ "learning_rate": 0.001,
3137
+ "loss": 0.2382,
3138
+ "step": 1030
3139
+ },
3140
+ {
3141
+ "epoch": 3.78,
3142
+ "learning_rate": 0.001,
3143
+ "loss": 0.2278,
3144
+ "step": 1032
3145
+ },
3146
+ {
3147
+ "epoch": 3.79,
3148
+ "learning_rate": 0.001,
3149
+ "loss": 0.2466,
3150
+ "step": 1034
3151
+ },
3152
+ {
3153
+ "epoch": 3.8,
3154
+ "learning_rate": 0.001,
3155
+ "loss": 0.2241,
3156
+ "step": 1036
3157
+ },
3158
+ {
3159
+ "epoch": 3.81,
3160
+ "learning_rate": 0.001,
3161
+ "loss": 0.2335,
3162
+ "step": 1038
3163
+ },
3164
+ {
3165
+ "epoch": 3.81,
3166
+ "learning_rate": 0.001,
3167
+ "loss": 0.2413,
3168
+ "step": 1040
3169
+ },
3170
+ {
3171
+ "epoch": 3.82,
3172
+ "learning_rate": 0.001,
3173
+ "loss": 0.2413,
3174
+ "step": 1042
3175
+ },
3176
+ {
3177
+ "epoch": 3.83,
3178
+ "learning_rate": 0.001,
3179
+ "loss": 0.2317,
3180
+ "step": 1044
3181
+ },
3182
+ {
3183
+ "epoch": 3.83,
3184
+ "learning_rate": 0.001,
3185
+ "loss": 0.2322,
3186
+ "step": 1046
3187
+ },
3188
+ {
3189
+ "epoch": 3.84,
3190
+ "learning_rate": 0.001,
3191
+ "loss": 0.2154,
3192
+ "step": 1048
3193
+ },
3194
+ {
3195
+ "epoch": 3.85,
3196
+ "learning_rate": 0.001,
3197
+ "loss": 0.2178,
3198
+ "step": 1050
3199
+ },
3200
+ {
3201
+ "epoch": 3.86,
3202
+ "learning_rate": 0.001,
3203
+ "loss": 0.22,
3204
+ "step": 1052
3205
+ },
3206
+ {
3207
+ "epoch": 3.86,
3208
+ "learning_rate": 0.001,
3209
+ "loss": 0.2446,
3210
+ "step": 1054
3211
+ },
3212
+ {
3213
+ "epoch": 3.87,
3214
+ "learning_rate": 0.001,
3215
+ "loss": 0.2386,
3216
+ "step": 1056
3217
+ },
3218
+ {
3219
+ "epoch": 3.88,
3220
+ "learning_rate": 0.001,
3221
+ "loss": 0.2296,
3222
+ "step": 1058
3223
+ },
3224
+ {
3225
+ "epoch": 3.89,
3226
+ "learning_rate": 0.001,
3227
+ "loss": 0.2303,
3228
+ "step": 1060
3229
+ },
3230
+ {
3231
+ "epoch": 3.89,
3232
+ "learning_rate": 0.001,
3233
+ "loss": 0.2461,
3234
+ "step": 1062
3235
+ },
3236
+ {
3237
+ "epoch": 3.9,
3238
+ "learning_rate": 0.001,
3239
+ "loss": 0.2198,
3240
+ "step": 1064
3241
+ },
3242
+ {
3243
+ "epoch": 3.91,
3244
+ "learning_rate": 0.001,
3245
+ "loss": 0.2139,
3246
+ "step": 1066
3247
+ },
3248
+ {
3249
+ "epoch": 3.92,
3250
+ "learning_rate": 0.001,
3251
+ "loss": 0.2213,
3252
+ "step": 1068
3253
+ },
3254
+ {
3255
+ "epoch": 3.92,
3256
+ "learning_rate": 0.001,
3257
+ "loss": 0.2138,
3258
+ "step": 1070
3259
+ },
3260
+ {
3261
+ "epoch": 3.93,
3262
+ "learning_rate": 0.001,
3263
+ "loss": 0.2335,
3264
+ "step": 1072
3265
+ },
3266
+ {
3267
+ "epoch": 3.94,
3268
+ "learning_rate": 0.001,
3269
+ "loss": 0.2257,
3270
+ "step": 1074
3271
+ },
3272
+ {
3273
+ "epoch": 3.94,
3274
+ "learning_rate": 0.001,
3275
+ "loss": 0.2317,
3276
+ "step": 1076
3277
+ },
3278
+ {
3279
+ "epoch": 3.95,
3280
+ "learning_rate": 0.001,
3281
+ "loss": 0.2327,
3282
+ "step": 1078
3283
+ },
3284
+ {
3285
+ "epoch": 3.96,
3286
+ "learning_rate": 0.001,
3287
+ "loss": 0.2282,
3288
+ "step": 1080
3289
+ },
3290
+ {
3291
+ "epoch": 3.97,
3292
+ "learning_rate": 0.001,
3293
+ "loss": 0.2539,
3294
+ "step": 1082
3295
+ },
3296
+ {
3297
+ "epoch": 3.97,
3298
+ "learning_rate": 0.001,
3299
+ "loss": 0.2497,
3300
+ "step": 1084
3301
+ },
3302
+ {
3303
+ "epoch": 3.98,
3304
+ "learning_rate": 0.001,
3305
+ "loss": 0.2235,
3306
+ "step": 1086
3307
+ },
3308
+ {
3309
+ "epoch": 3.99,
3310
+ "learning_rate": 0.001,
3311
+ "loss": 0.2262,
3312
+ "step": 1088
3313
+ },
3314
+ {
3315
+ "epoch": 4.0,
3316
+ "learning_rate": 0.001,
3317
+ "loss": 0.2443,
3318
+ "step": 1090
3319
+ },
3320
+ {
3321
+ "epoch": 4.0,
3322
+ "eval_gen_len": 816.7253086419753,
3323
+ "eval_loss": 1.4998103380203247,
3324
+ "eval_rouge1": 67.0929,
3325
+ "eval_rouge2": 38.0763,
3326
+ "eval_rougeL": 35.8704,
3327
+ "eval_rougeLsum": 64.9022,
3328
+ "eval_runtime": 6494.5526,
3329
+ "eval_samples_per_second": 0.15,
3330
+ "eval_steps_per_second": 0.019,
3331
+ "step": 1091
3332
+ },
3333
+ {
3334
+ "epoch": 4.0,
3335
+ "learning_rate": 0.001,
3336
+ "loss": 0.2103,
3337
+ "step": 1092
3338
+ },
3339
+ {
3340
+ "epoch": 4.01,
3341
+ "learning_rate": 0.001,
3342
+ "loss": 0.1719,
3343
+ "step": 1094
3344
+ },
3345
+ {
3346
+ "epoch": 4.02,
3347
+ "learning_rate": 0.001,
3348
+ "loss": 0.1457,
3349
+ "step": 1096
3350
+ },
3351
+ {
3352
+ "epoch": 4.03,
3353
+ "learning_rate": 0.001,
3354
+ "loss": 0.1594,
3355
+ "step": 1098
3356
+ },
3357
+ {
3358
+ "epoch": 4.03,
3359
+ "learning_rate": 0.001,
3360
+ "loss": 0.1525,
3361
+ "step": 1100
3362
+ },
3363
+ {
3364
+ "epoch": 4.04,
3365
+ "learning_rate": 0.001,
3366
+ "loss": 0.1445,
3367
+ "step": 1102
3368
+ },
3369
+ {
3370
+ "epoch": 4.05,
3371
+ "learning_rate": 0.001,
3372
+ "loss": 0.1679,
3373
+ "step": 1104
3374
+ },
3375
+ {
3376
+ "epoch": 4.05,
3377
+ "learning_rate": 0.001,
3378
+ "loss": 0.1793,
3379
+ "step": 1106
3380
+ },
3381
+ {
3382
+ "epoch": 4.06,
3383
+ "learning_rate": 0.001,
3384
+ "loss": 0.1613,
3385
+ "step": 1108
3386
+ },
3387
+ {
3388
+ "epoch": 4.07,
3389
+ "learning_rate": 0.001,
3390
+ "loss": 0.1735,
3391
+ "step": 1110
3392
+ },
3393
+ {
3394
+ "epoch": 4.08,
3395
+ "learning_rate": 0.001,
3396
+ "loss": 0.1683,
3397
+ "step": 1112
3398
+ },
3399
+ {
3400
+ "epoch": 4.08,
3401
+ "learning_rate": 0.001,
3402
+ "loss": 0.1658,
3403
+ "step": 1114
3404
+ },
3405
+ {
3406
+ "epoch": 4.09,
3407
+ "learning_rate": 0.001,
3408
+ "loss": 0.1648,
3409
+ "step": 1116
3410
+ },
3411
+ {
3412
+ "epoch": 4.1,
3413
+ "learning_rate": 0.001,
3414
+ "loss": 0.1861,
3415
+ "step": 1118
3416
+ },
3417
+ {
3418
+ "epoch": 4.11,
3419
+ "learning_rate": 0.001,
3420
+ "loss": 0.1625,
3421
+ "step": 1120
3422
+ },
3423
+ {
3424
+ "epoch": 4.11,
3425
+ "learning_rate": 0.001,
3426
+ "loss": 0.1713,
3427
+ "step": 1122
3428
+ },
3429
+ {
3430
+ "epoch": 4.12,
3431
+ "learning_rate": 0.001,
3432
+ "loss": 0.1754,
3433
+ "step": 1124
3434
+ },
3435
+ {
3436
+ "epoch": 4.13,
3437
+ "learning_rate": 0.001,
3438
+ "loss": 0.1801,
3439
+ "step": 1126
3440
+ },
3441
+ {
3442
+ "epoch": 4.14,
3443
+ "learning_rate": 0.001,
3444
+ "loss": 0.1655,
3445
+ "step": 1128
3446
+ },
3447
+ {
3448
+ "epoch": 4.14,
3449
+ "learning_rate": 0.001,
3450
+ "loss": 0.1665,
3451
+ "step": 1130
3452
+ },
3453
+ {
3454
+ "epoch": 4.15,
3455
+ "learning_rate": 0.001,
3456
+ "loss": 0.1834,
3457
+ "step": 1132
3458
+ },
3459
+ {
3460
+ "epoch": 4.16,
3461
+ "learning_rate": 0.001,
3462
+ "loss": 0.1626,
3463
+ "step": 1134
3464
+ },
3465
+ {
3466
+ "epoch": 4.16,
3467
+ "learning_rate": 0.001,
3468
+ "loss": 0.1687,
3469
+ "step": 1136
3470
+ },
3471
+ {
3472
+ "epoch": 4.17,
3473
+ "learning_rate": 0.001,
3474
+ "loss": 0.1673,
3475
+ "step": 1138
3476
+ },
3477
+ {
3478
+ "epoch": 4.18,
3479
+ "learning_rate": 0.001,
3480
+ "loss": 0.1627,
3481
+ "step": 1140
3482
+ },
3483
+ {
3484
+ "epoch": 4.19,
3485
+ "learning_rate": 0.001,
3486
+ "loss": 0.1692,
3487
+ "step": 1142
3488
+ },
3489
+ {
3490
+ "epoch": 4.19,
3491
+ "learning_rate": 0.001,
3492
+ "loss": 0.1725,
3493
+ "step": 1144
3494
+ },
3495
+ {
3496
+ "epoch": 4.2,
3497
+ "learning_rate": 0.001,
3498
+ "loss": 0.1769,
3499
+ "step": 1146
3500
+ },
3501
+ {
3502
+ "epoch": 4.21,
3503
+ "learning_rate": 0.001,
3504
+ "loss": 0.1816,
3505
+ "step": 1148
3506
+ },
3507
+ {
3508
+ "epoch": 4.22,
3509
+ "learning_rate": 0.001,
3510
+ "loss": 0.1672,
3511
+ "step": 1150
3512
+ },
3513
+ {
3514
+ "epoch": 4.22,
3515
+ "learning_rate": 0.001,
3516
+ "loss": 0.1712,
3517
+ "step": 1152
3518
+ },
3519
+ {
3520
+ "epoch": 4.23,
3521
+ "learning_rate": 0.001,
3522
+ "loss": 0.1647,
3523
+ "step": 1154
3524
+ },
3525
+ {
3526
+ "epoch": 4.24,
3527
+ "learning_rate": 0.001,
3528
+ "loss": 0.1866,
3529
+ "step": 1156
3530
+ },
3531
+ {
3532
+ "epoch": 4.25,
3533
+ "learning_rate": 0.001,
3534
+ "loss": 0.1745,
3535
+ "step": 1158
3536
+ },
3537
+ {
3538
+ "epoch": 4.25,
3539
+ "learning_rate": 0.001,
3540
+ "loss": 0.1639,
3541
+ "step": 1160
3542
+ },
3543
+ {
3544
+ "epoch": 4.26,
3545
+ "learning_rate": 0.001,
3546
+ "loss": 0.1746,
3547
+ "step": 1162
3548
+ },
3549
+ {
3550
+ "epoch": 4.27,
3551
+ "learning_rate": 0.001,
3552
+ "loss": 0.1614,
3553
+ "step": 1164
3554
+ },
3555
+ {
3556
+ "epoch": 4.27,
3557
+ "learning_rate": 0.001,
3558
+ "loss": 0.1919,
3559
+ "step": 1166
3560
+ },
3561
+ {
3562
+ "epoch": 4.28,
3563
+ "learning_rate": 0.001,
3564
+ "loss": 0.1816,
3565
+ "step": 1168
3566
+ },
3567
+ {
3568
+ "epoch": 4.29,
3569
+ "learning_rate": 0.001,
3570
+ "loss": 0.1676,
3571
+ "step": 1170
3572
+ },
3573
+ {
3574
+ "epoch": 4.3,
3575
+ "learning_rate": 0.001,
3576
+ "loss": 0.181,
3577
+ "step": 1172
3578
+ },
3579
+ {
3580
+ "epoch": 4.3,
3581
+ "learning_rate": 0.001,
3582
+ "loss": 0.1734,
3583
+ "step": 1174
3584
+ },
3585
+ {
3586
+ "epoch": 4.31,
3587
+ "learning_rate": 0.001,
3588
+ "loss": 0.197,
3589
+ "step": 1176
3590
+ },
3591
+ {
3592
+ "epoch": 4.32,
3593
+ "learning_rate": 0.001,
3594
+ "loss": 0.1781,
3595
+ "step": 1178
3596
+ },
3597
+ {
3598
+ "epoch": 4.33,
3599
+ "learning_rate": 0.001,
3600
+ "loss": 0.1791,
3601
+ "step": 1180
3602
+ },
3603
+ {
3604
+ "epoch": 4.33,
3605
+ "learning_rate": 0.001,
3606
+ "loss": 0.1727,
3607
+ "step": 1182
3608
+ },
3609
+ {
3610
+ "epoch": 4.34,
3611
+ "learning_rate": 0.001,
3612
+ "loss": 0.1894,
3613
+ "step": 1184
3614
+ },
3615
+ {
3616
+ "epoch": 4.35,
3617
+ "learning_rate": 0.001,
3618
+ "loss": 0.1701,
3619
+ "step": 1186
3620
+ },
3621
+ {
3622
+ "epoch": 4.36,
3623
+ "learning_rate": 0.001,
3624
+ "loss": 0.1782,
3625
+ "step": 1188
3626
+ },
3627
+ {
3628
+ "epoch": 4.36,
3629
+ "learning_rate": 0.001,
3630
+ "loss": 0.1786,
3631
+ "step": 1190
3632
+ },
3633
+ {
3634
+ "epoch": 4.37,
3635
+ "learning_rate": 0.001,
3636
+ "loss": 0.1596,
3637
+ "step": 1192
3638
+ },
3639
+ {
3640
+ "epoch": 4.38,
3641
+ "learning_rate": 0.001,
3642
+ "loss": 0.174,
3643
+ "step": 1194
3644
+ },
3645
+ {
3646
+ "epoch": 4.38,
3647
+ "learning_rate": 0.001,
3648
+ "loss": 0.1921,
3649
+ "step": 1196
3650
+ },
3651
+ {
3652
+ "epoch": 4.39,
3653
+ "learning_rate": 0.001,
3654
+ "loss": 0.1756,
3655
+ "step": 1198
3656
+ },
3657
+ {
3658
+ "epoch": 4.4,
3659
+ "learning_rate": 0.001,
3660
+ "loss": 0.1912,
3661
+ "step": 1200
3662
+ },
3663
+ {
3664
+ "epoch": 4.41,
3665
+ "learning_rate": 0.001,
3666
+ "loss": 0.1863,
3667
+ "step": 1202
3668
+ },
3669
+ {
3670
+ "epoch": 4.41,
3671
+ "learning_rate": 0.001,
3672
+ "loss": 0.181,
3673
+ "step": 1204
3674
+ },
3675
+ {
3676
+ "epoch": 4.42,
3677
+ "learning_rate": 0.001,
3678
+ "loss": 0.191,
3679
+ "step": 1206
3680
+ },
3681
+ {
3682
+ "epoch": 4.43,
3683
+ "learning_rate": 0.001,
3684
+ "loss": 0.1794,
3685
+ "step": 1208
3686
+ },
3687
+ {
3688
+ "epoch": 4.44,
3689
+ "learning_rate": 0.001,
3690
+ "loss": 0.1734,
3691
+ "step": 1210
3692
+ },
3693
+ {
3694
+ "epoch": 4.44,
3695
+ "learning_rate": 0.001,
3696
+ "loss": 0.2014,
3697
+ "step": 1212
3698
+ },
3699
+ {
3700
+ "epoch": 4.45,
3701
+ "learning_rate": 0.001,
3702
+ "loss": 0.1676,
3703
+ "step": 1214
3704
+ },
3705
+ {
3706
+ "epoch": 4.46,
3707
+ "learning_rate": 0.001,
3708
+ "loss": 0.1823,
3709
+ "step": 1216
3710
+ },
3711
+ {
3712
+ "epoch": 4.47,
3713
+ "learning_rate": 0.001,
3714
+ "loss": 0.1859,
3715
+ "step": 1218
3716
+ },
3717
+ {
3718
+ "epoch": 4.47,
3719
+ "learning_rate": 0.001,
3720
+ "loss": 0.1796,
3721
+ "step": 1220
3722
+ },
3723
+ {
3724
+ "epoch": 4.48,
3725
+ "learning_rate": 0.001,
3726
+ "loss": 0.188,
3727
+ "step": 1222
3728
+ },
3729
+ {
3730
+ "epoch": 4.49,
3731
+ "learning_rate": 0.001,
3732
+ "loss": 0.1906,
3733
+ "step": 1224
3734
+ },
3735
+ {
3736
+ "epoch": 4.49,
3737
+ "learning_rate": 0.001,
3738
+ "loss": 0.1916,
3739
+ "step": 1226
3740
+ },
3741
+ {
3742
+ "epoch": 4.5,
3743
+ "learning_rate": 0.001,
3744
+ "loss": 0.1996,
3745
+ "step": 1228
3746
+ },
3747
+ {
3748
+ "epoch": 4.51,
3749
+ "learning_rate": 0.001,
3750
+ "loss": 0.1762,
3751
+ "step": 1230
3752
+ },
3753
+ {
3754
+ "epoch": 4.52,
3755
+ "learning_rate": 0.001,
3756
+ "loss": 0.1907,
3757
+ "step": 1232
3758
+ },
3759
+ {
3760
+ "epoch": 4.52,
3761
+ "learning_rate": 0.001,
3762
+ "loss": 0.1924,
3763
+ "step": 1234
3764
+ },
3765
+ {
3766
+ "epoch": 4.53,
3767
+ "learning_rate": 0.001,
3768
+ "loss": 0.1767,
3769
+ "step": 1236
3770
+ },
3771
+ {
3772
+ "epoch": 4.54,
3773
+ "learning_rate": 0.001,
3774
+ "loss": 0.1803,
3775
+ "step": 1238
3776
+ },
3777
+ {
3778
+ "epoch": 4.55,
3779
+ "learning_rate": 0.001,
3780
+ "loss": 0.1957,
3781
+ "step": 1240
3782
+ },
3783
+ {
3784
+ "epoch": 4.55,
3785
+ "learning_rate": 0.001,
3786
+ "loss": 0.1787,
3787
+ "step": 1242
3788
+ },
3789
+ {
3790
+ "epoch": 4.56,
3791
+ "learning_rate": 0.001,
3792
+ "loss": 0.1807,
3793
+ "step": 1244
3794
+ },
3795
+ {
3796
+ "epoch": 4.57,
3797
+ "learning_rate": 0.001,
3798
+ "loss": 0.191,
3799
+ "step": 1246
3800
+ },
3801
+ {
3802
+ "epoch": 4.58,
3803
+ "learning_rate": 0.001,
3804
+ "loss": 0.1993,
3805
+ "step": 1248
3806
+ },
3807
+ {
3808
+ "epoch": 4.58,
3809
+ "learning_rate": 0.001,
3810
+ "loss": 0.1949,
3811
+ "step": 1250
3812
+ },
3813
+ {
3814
+ "epoch": 4.59,
3815
+ "learning_rate": 0.001,
3816
+ "loss": 0.1812,
3817
+ "step": 1252
3818
+ },
3819
+ {
3820
+ "epoch": 4.6,
3821
+ "learning_rate": 0.001,
3822
+ "loss": 0.1946,
3823
+ "step": 1254
3824
+ },
3825
+ {
3826
+ "epoch": 4.6,
3827
+ "learning_rate": 0.001,
3828
+ "loss": 0.1852,
3829
+ "step": 1256
3830
+ },
3831
+ {
3832
+ "epoch": 4.61,
3833
+ "learning_rate": 0.001,
3834
+ "loss": 0.1835,
3835
+ "step": 1258
3836
+ },
3837
+ {
3838
+ "epoch": 4.62,
3839
+ "learning_rate": 0.001,
3840
+ "loss": 0.1912,
3841
+ "step": 1260
3842
+ },
3843
+ {
3844
+ "epoch": 4.63,
3845
+ "learning_rate": 0.001,
3846
+ "loss": 0.1823,
3847
+ "step": 1262
3848
+ },
3849
+ {
3850
+ "epoch": 4.63,
3851
+ "learning_rate": 0.001,
3852
+ "loss": 0.1811,
3853
+ "step": 1264
3854
+ },
3855
+ {
3856
+ "epoch": 4.64,
3857
+ "learning_rate": 0.001,
3858
+ "loss": 0.1811,
3859
+ "step": 1266
3860
+ },
3861
+ {
3862
+ "epoch": 4.65,
3863
+ "learning_rate": 0.001,
3864
+ "loss": 0.1988,
3865
+ "step": 1268
3866
+ },
3867
+ {
3868
+ "epoch": 4.66,
3869
+ "learning_rate": 0.001,
3870
+ "loss": 0.1858,
3871
+ "step": 1270
3872
+ },
3873
+ {
3874
+ "epoch": 4.66,
3875
+ "learning_rate": 0.001,
3876
+ "loss": 0.2041,
3877
+ "step": 1272
3878
+ },
3879
+ {
3880
+ "epoch": 4.67,
3881
+ "learning_rate": 0.001,
3882
+ "loss": 0.1874,
3883
+ "step": 1274
3884
+ },
3885
+ {
3886
+ "epoch": 4.68,
3887
+ "learning_rate": 0.001,
3888
+ "loss": 0.1994,
3889
+ "step": 1276
3890
+ },
3891
+ {
3892
+ "epoch": 4.69,
3893
+ "learning_rate": 0.001,
3894
+ "loss": 0.1956,
3895
+ "step": 1278
3896
+ },
3897
+ {
3898
+ "epoch": 4.69,
3899
+ "learning_rate": 0.001,
3900
+ "loss": 0.1976,
3901
+ "step": 1280
3902
+ },
3903
+ {
3904
+ "epoch": 4.7,
3905
+ "learning_rate": 0.001,
3906
+ "loss": 0.2042,
3907
+ "step": 1282
3908
+ },
3909
+ {
3910
+ "epoch": 4.71,
3911
+ "learning_rate": 0.001,
3912
+ "loss": 0.1852,
3913
+ "step": 1284
3914
+ },
3915
+ {
3916
+ "epoch": 4.71,
3917
+ "learning_rate": 0.001,
3918
+ "loss": 0.1864,
3919
+ "step": 1286
3920
+ },
3921
+ {
3922
+ "epoch": 4.72,
3923
+ "learning_rate": 0.001,
3924
+ "loss": 0.1945,
3925
+ "step": 1288
3926
+ },
3927
+ {
3928
+ "epoch": 4.73,
3929
+ "learning_rate": 0.001,
3930
+ "loss": 0.2045,
3931
+ "step": 1290
3932
+ },
3933
+ {
3934
+ "epoch": 4.74,
3935
+ "learning_rate": 0.001,
3936
+ "loss": 0.1939,
3937
+ "step": 1292
3938
+ },
3939
+ {
3940
+ "epoch": 4.74,
3941
+ "learning_rate": 0.001,
3942
+ "loss": 0.1858,
3943
+ "step": 1294
3944
+ },
3945
+ {
3946
+ "epoch": 4.75,
3947
+ "learning_rate": 0.001,
3948
+ "loss": 0.1842,
3949
+ "step": 1296
3950
+ },
3951
+ {
3952
+ "epoch": 4.76,
3953
+ "learning_rate": 0.001,
3954
+ "loss": 0.177,
3955
+ "step": 1298
3956
+ },
3957
+ {
3958
+ "epoch": 4.77,
3959
+ "learning_rate": 0.001,
3960
+ "loss": 0.1851,
3961
+ "step": 1300
3962
+ },
3963
+ {
3964
+ "epoch": 4.77,
3965
+ "learning_rate": 0.001,
3966
+ "loss": 0.186,
3967
+ "step": 1302
3968
+ },
3969
+ {
3970
+ "epoch": 4.78,
3971
+ "learning_rate": 0.001,
3972
+ "loss": 0.1881,
3973
+ "step": 1304
3974
+ },
3975
+ {
3976
+ "epoch": 4.79,
3977
+ "learning_rate": 0.001,
3978
+ "loss": 0.1925,
3979
+ "step": 1306
3980
+ },
3981
+ {
3982
+ "epoch": 4.8,
3983
+ "learning_rate": 0.001,
3984
+ "loss": 0.1965,
3985
+ "step": 1308
3986
+ },
3987
+ {
3988
+ "epoch": 4.8,
3989
+ "learning_rate": 0.001,
3990
+ "loss": 0.1902,
3991
+ "step": 1310
3992
+ },
3993
+ {
3994
+ "epoch": 4.81,
3995
+ "learning_rate": 0.001,
3996
+ "loss": 0.1818,
3997
+ "step": 1312
3998
+ },
3999
+ {
4000
+ "epoch": 4.82,
4001
+ "learning_rate": 0.001,
4002
+ "loss": 0.1968,
4003
+ "step": 1314
4004
+ },
4005
+ {
4006
+ "epoch": 4.82,
4007
+ "learning_rate": 0.001,
4008
+ "loss": 0.1894,
4009
+ "step": 1316
4010
+ },
4011
+ {
4012
+ "epoch": 4.83,
4013
+ "learning_rate": 0.001,
4014
+ "loss": 0.1948,
4015
+ "step": 1318
4016
+ },
4017
+ {
4018
+ "epoch": 4.84,
4019
+ "learning_rate": 0.001,
4020
+ "loss": 0.2014,
4021
+ "step": 1320
4022
+ },
4023
+ {
4024
+ "epoch": 4.85,
4025
+ "learning_rate": 0.001,
4026
+ "loss": 0.1881,
4027
+ "step": 1322
4028
+ },
4029
+ {
4030
+ "epoch": 4.85,
4031
+ "learning_rate": 0.001,
4032
+ "loss": 0.1859,
4033
+ "step": 1324
4034
+ },
4035
+ {
4036
+ "epoch": 4.86,
4037
+ "learning_rate": 0.001,
4038
+ "loss": 0.1987,
4039
+ "step": 1326
4040
+ },
4041
+ {
4042
+ "epoch": 4.87,
4043
+ "learning_rate": 0.001,
4044
+ "loss": 0.1808,
4045
+ "step": 1328
4046
+ },
4047
+ {
4048
+ "epoch": 4.88,
4049
+ "learning_rate": 0.001,
4050
+ "loss": 0.1878,
4051
+ "step": 1330
4052
+ },
4053
+ {
4054
+ "epoch": 4.88,
4055
+ "learning_rate": 0.001,
4056
+ "loss": 0.1767,
4057
+ "step": 1332
4058
+ },
4059
+ {
4060
+ "epoch": 4.89,
4061
+ "learning_rate": 0.001,
4062
+ "loss": 0.2004,
4063
+ "step": 1334
4064
+ },
4065
+ {
4066
+ "epoch": 4.9,
4067
+ "learning_rate": 0.001,
4068
+ "loss": 0.1925,
4069
+ "step": 1336
4070
+ },
4071
+ {
4072
+ "epoch": 4.91,
4073
+ "learning_rate": 0.001,
4074
+ "loss": 0.2075,
4075
+ "step": 1338
4076
+ },
4077
+ {
4078
+ "epoch": 4.91,
4079
+ "learning_rate": 0.001,
4080
+ "loss": 0.1884,
4081
+ "step": 1340
4082
+ },
4083
+ {
4084
+ "epoch": 4.92,
4085
+ "learning_rate": 0.001,
4086
+ "loss": 0.2032,
4087
+ "step": 1342
4088
+ },
4089
+ {
4090
+ "epoch": 4.93,
4091
+ "learning_rate": 0.001,
4092
+ "loss": 0.199,
4093
+ "step": 1344
4094
+ },
4095
+ {
4096
+ "epoch": 4.93,
4097
+ "learning_rate": 0.001,
4098
+ "loss": 0.1958,
4099
+ "step": 1346
4100
+ },
4101
+ {
4102
+ "epoch": 4.94,
4103
+ "learning_rate": 0.001,
4104
+ "loss": 0.1997,
4105
+ "step": 1348
4106
+ },
4107
+ {
4108
+ "epoch": 4.95,
4109
+ "learning_rate": 0.001,
4110
+ "loss": 0.2033,
4111
+ "step": 1350
4112
+ },
4113
+ {
4114
+ "epoch": 4.96,
4115
+ "learning_rate": 0.001,
4116
+ "loss": 0.1921,
4117
+ "step": 1352
4118
+ },
4119
+ {
4120
+ "epoch": 4.96,
4121
+ "learning_rate": 0.001,
4122
+ "loss": 0.2043,
4123
+ "step": 1354
4124
+ },
4125
+ {
4126
+ "epoch": 4.97,
4127
+ "learning_rate": 0.001,
4128
+ "loss": 0.1924,
4129
+ "step": 1356
4130
+ },
4131
+ {
4132
+ "epoch": 4.98,
4133
+ "learning_rate": 0.001,
4134
+ "loss": 0.1824,
4135
+ "step": 1358
4136
+ },
4137
+ {
4138
+ "epoch": 4.99,
4139
+ "learning_rate": 0.001,
4140
+ "loss": 0.2033,
4141
+ "step": 1360
4142
+ },
4143
+ {
4144
+ "epoch": 4.99,
4145
+ "eval_gen_len": 1052.8816872427983,
4146
+ "eval_loss": 1.550795316696167,
4147
+ "eval_rouge1": 64.1251,
4148
+ "eval_rouge2": 36.9601,
4149
+ "eval_rougeL": 34.8068,
4150
+ "eval_rougeLsum": 61.9673,
4151
+ "eval_runtime": 8676.5547,
4152
+ "eval_samples_per_second": 0.112,
4153
+ "eval_steps_per_second": 0.014,
4154
+ "step": 1360
4155
+ },
4156
+ {
4157
+ "epoch": 4.99,
4158
+ "step": 1360,
4159
+ "total_flos": 1.024762577636008e+18,
4160
+ "train_loss": 0.28696994373903556,
4161
+ "train_runtime": 83467.5082,
4162
+ "train_samples_per_second": 1.046,
4163
+ "train_steps_per_second": 0.016
4164
+ }
4165
+ ],
4166
+ "logging_steps": 2,
4167
+ "max_steps": 1360,
4168
+ "num_train_epochs": 5,
4169
+ "save_steps": 500,
4170
+ "total_flos": 1.024762577636008e+18,
4171
+ "trial_name": null,
4172
+ "trial_params": null
4173
+ }