zera09 commited on
Commit
5f5cf23
·
verified ·
1 Parent(s): c36d9a5

End of training

Browse files
Files changed (5) hide show
  1. README.md +56 -9
  2. config.json +1 -1
  3. generation_config.json +1 -1
  4. model.safetensors +1 -1
  5. training_args.bin +2 -2
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.1946
19
 
20
  ## Model description
21
 
@@ -35,27 +35,74 @@ More information needed
35
 
36
  The following hyperparameters were used during training:
37
  - learning_rate: 5e-05
38
- - train_batch_size: 8
39
- - eval_batch_size: 8
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
  - lr_scheduler_warmup_steps: 500
44
- - num_epochs: 3
45
  - mixed_precision_training: Native AMP
46
 
47
  ### Training results
48
 
49
  | Training Loss | Epoch | Step | Validation Loss |
50
  |:-------------:|:-----:|:----:|:---------------:|
51
- | 0.2744 | 1.0 | 601 | 0.2469 |
52
- | 0.2337 | 2.0 | 1202 | 0.2034 |
53
- | 0.1491 | 3.0 | 1803 | 0.1946 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54
 
55
 
56
  ### Framework versions
57
 
58
- - Transformers 4.41.0
59
- - Pytorch 2.3.0+cu121
60
  - Datasets 2.19.1
61
  - Tokenizers 0.19.1
 
15
 
16
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.4773
19
 
20
  ## Model description
21
 
 
35
 
36
  The following hyperparameters were used during training:
37
  - learning_rate: 5e-05
38
+ - train_batch_size: 32
39
+ - eval_batch_size: 32
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
  - lr_scheduler_warmup_steps: 500
44
+ - num_epochs: 50
45
  - mixed_precision_training: Native AMP
46
 
47
  ### Training results
48
 
49
  | Training Loss | Epoch | Step | Validation Loss |
50
  |:-------------:|:-----:|:----:|:---------------:|
51
+ | 0.4907 | 1.0 | 151 | 0.3250 |
52
+ | 0.2887 | 2.0 | 302 | 0.2513 |
53
+ | 0.2371 | 3.0 | 453 | 0.2255 |
54
+ | 0.1945 | 4.0 | 604 | 0.2192 |
55
+ | 0.1683 | 5.0 | 755 | 0.2119 |
56
+ | 0.1461 | 6.0 | 906 | 0.2207 |
57
+ | 0.1143 | 7.0 | 1057 | 0.2182 |
58
+ | 0.1011 | 8.0 | 1208 | 0.2421 |
59
+ | 0.0818 | 9.0 | 1359 | 0.2476 |
60
+ | 0.0799 | 10.0 | 1510 | 0.2660 |
61
+ | 0.0757 | 11.0 | 1661 | 0.2661 |
62
+ | 0.0619 | 12.0 | 1812 | 0.2687 |
63
+ | 0.0517 | 13.0 | 1963 | 0.2939 |
64
+ | 0.0468 | 14.0 | 2114 | 0.3191 |
65
+ | 0.0352 | 15.0 | 2265 | 0.3343 |
66
+ | 0.0382 | 16.0 | 2416 | 0.3369 |
67
+ | 0.022 | 17.0 | 2567 | 0.3442 |
68
+ | 0.017 | 18.0 | 2718 | 0.3532 |
69
+ | 0.0286 | 19.0 | 2869 | 0.3594 |
70
+ | 0.0178 | 20.0 | 3020 | 0.3793 |
71
+ | 0.017 | 21.0 | 3171 | 0.3976 |
72
+ | 0.0127 | 22.0 | 3322 | 0.4029 |
73
+ | 0.0136 | 23.0 | 3473 | 0.4038 |
74
+ | 0.0124 | 24.0 | 3624 | 0.4045 |
75
+ | 0.0089 | 25.0 | 3775 | 0.3999 |
76
+ | 0.0108 | 26.0 | 3926 | 0.4103 |
77
+ | 0.0141 | 27.0 | 4077 | 0.4106 |
78
+ | 0.0126 | 28.0 | 4228 | 0.4197 |
79
+ | 0.0071 | 29.0 | 4379 | 0.4409 |
80
+ | 0.0046 | 30.0 | 4530 | 0.4240 |
81
+ | 0.0075 | 31.0 | 4681 | 0.4384 |
82
+ | 0.0061 | 32.0 | 4832 | 0.4313 |
83
+ | 0.0093 | 33.0 | 4983 | 0.4534 |
84
+ | 0.0066 | 34.0 | 5134 | 0.4499 |
85
+ | 0.0028 | 35.0 | 5285 | 0.4574 |
86
+ | 0.0034 | 36.0 | 5436 | 0.4615 |
87
+ | 0.0031 | 37.0 | 5587 | 0.4636 |
88
+ | 0.0047 | 38.0 | 5738 | 0.4728 |
89
+ | 0.0021 | 39.0 | 5889 | 0.4639 |
90
+ | 0.0027 | 40.0 | 6040 | 0.4658 |
91
+ | 0.0035 | 41.0 | 6191 | 0.4755 |
92
+ | 0.0032 | 42.0 | 6342 | 0.4589 |
93
+ | 0.0027 | 43.0 | 6493 | 0.4628 |
94
+ | 0.0018 | 44.0 | 6644 | 0.4762 |
95
+ | 0.0017 | 45.0 | 6795 | 0.4697 |
96
+ | 0.0012 | 46.0 | 6946 | 0.4762 |
97
+ | 0.0022 | 47.0 | 7097 | 0.4830 |
98
+ | 0.0013 | 48.0 | 7248 | 0.4765 |
99
+ | 0.0013 | 49.0 | 7399 | 0.4759 |
100
+ | 0.0014 | 50.0 | 7550 | 0.4773 |
101
 
102
 
103
  ### Framework versions
104
 
105
+ - Transformers 4.41.1
106
+ - Pytorch 1.13.1+cu117
107
  - Datasets 2.19.1
108
  - Tokenizers 0.19.1
config.json CHANGED
@@ -69,7 +69,7 @@
69
  }
70
  },
71
  "torch_dtype": "float32",
72
- "transformers_version": "4.41.0",
73
  "use_cache": true,
74
  "vocab_size": 50265
75
  }
 
69
  }
70
  },
71
  "torch_dtype": "float32",
72
+ "transformers_version": "4.41.1",
73
  "use_cache": true,
74
  "vocab_size": 50265
75
  }
generation_config.json CHANGED
@@ -9,5 +9,5 @@
9
  "no_repeat_ngram_size": 3,
10
  "num_beams": 4,
11
  "pad_token_id": 1,
12
- "transformers_version": "4.41.0"
13
  }
 
9
  "no_repeat_ngram_size": 3,
10
  "num_beams": 4,
11
  "pad_token_id": 1,
12
+ "transformers_version": "4.41.1"
13
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d5a453348954939085d6a56c26b8eb8d8294cbd06f81636b2953d6990b54d705
3
  size 557912620
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb70eb75a6fd249e8a661ac88743dd7e75cbaf5d17c6b357bdfaf72d8218376b
3
  size 557912620
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3b975020a70df3b952a900355a0c85b0abc6dfd4b0047f6076448518d229701f
3
- size 5048
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ed430ecbd64a6389e096a8a9f23fa22e28e6f1c258833cbee7cdddde08e6819
3
+ size 4603