Binaryy commited on
Commit
0cbea97
1 Parent(s): 11910e5

Training complete

Browse files
Files changed (2) hide show
  1. README.md +15 -13
  2. generation_config.json +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 1.8402
22
- - Rouge1: 6.8778
23
- - Rouge2: 3.2689
24
- - Rougel: 6.1322
25
- - Rougelsum: 6.5067
26
 
27
  ## Model description
28
 
@@ -42,25 +42,27 @@ More information needed
42
 
43
  The following hyperparameters were used during training:
44
  - learning_rate: 5.6e-05
45
- - train_batch_size: 16
46
- - eval_batch_size: 16
47
  - seed: 42
48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
  - lr_scheduler_type: linear
50
- - num_epochs: 3
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
55
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
56
- | No log | 1.0 | 500 | 1.9816 | 6.8051 | 3.19 | 6.0519 | 6.4262 |
57
- | 2.2143 | 2.0 | 1000 | 1.8705 | 6.8637 | 3.2288 | 6.1205 | 6.4957 |
58
- | 2.2143 | 3.0 | 1500 | 1.8402 | 6.8778 | 3.2689 | 6.1322 | 6.5067 |
 
 
59
 
60
 
61
  ### Framework versions
62
 
63
- - Transformers 4.38.1
64
- - Pytorch 2.1.2
65
  - Datasets 2.18.0
66
  - Tokenizers 0.15.2
 
18
 
19
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 1.6429
22
+ - Rouge1: 6.8486
23
+ - Rouge2: 3.1822
24
+ - Rougel: 6.0536
25
+ - Rougelsum: 6.4854
26
 
27
  ## Model description
28
 
 
42
 
43
  The following hyperparameters were used during training:
44
  - learning_rate: 5.6e-05
45
+ - train_batch_size: 8
46
+ - eval_batch_size: 8
47
  - seed: 42
48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
  - lr_scheduler_type: linear
50
+ - num_epochs: 5
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
55
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
56
+ | 2.3078 | 1.0 | 1000 | 1.9298 | 6.7515 | 3.1533 | 5.9971 | 6.3848 |
57
+ | 1.9556 | 2.0 | 2000 | 1.7880 | 6.8376 | 3.2002 | 6.0356 | 6.4897 |
58
+ | 1.8076 | 3.0 | 3000 | 1.7108 | 6.9082 | 3.1048 | 6.0637 | 6.5127 |
59
+ | 1.7145 | 4.0 | 4000 | 1.6575 | 6.8643 | 3.1987 | 6.0574 | 6.4882 |
60
+ | 1.6575 | 5.0 | 5000 | 1.6429 | 6.8486 | 3.1822 | 6.0536 | 6.4854 |
61
 
62
 
63
  ### Framework versions
64
 
65
+ - Transformers 4.39.3
66
+ - Pytorch 2.2.2+cu121
67
  - Datasets 2.18.0
68
  - Tokenizers 0.15.2
generation_config.json CHANGED
@@ -8,5 +8,5 @@
8
  "no_repeat_ngram_size": 3,
9
  "num_beams": 4,
10
  "pad_token_id": 1,
11
- "transformers_version": "4.38.1"
12
  }
 
8
  "no_repeat_ngram_size": 3,
9
  "num_beams": 4,
10
  "pad_token_id": 1,
11
+ "transformers_version": "4.39.3"
12
  }