bunbohue commited on
Commit
5799831
1 Parent(s): 2974b88

End of training

Browse files
Files changed (3) hide show
  1. README.md +69 -0
  2. generation_config.json +13 -0
  3. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: facebook/bart-large-xsum
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ model-index:
9
+ - name: bart-large-xsum_readme_summarization
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # bart-large-xsum_readme_summarization
17
+
18
+ This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 2.1218
21
+ - Rouge1: 0.5637
22
+ - Rouge2: 0.4319
23
+ - Rougel: 0.5369
24
+ - Rougelsum: 0.5371
25
+ - Gen Len: 21.5048
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 2e-05
45
+ - train_batch_size: 4
46
+ - eval_batch_size: 4
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
+ - mixed_precision_training: Native AMP
52
+
53
+ ### Training results
54
+
55
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
56
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
57
+ | 2.1078 | 1.0 | 1458 | 1.9876 | 0.4994 | 0.3426 | 0.4684 | 0.4682 | 20.1103 |
58
+ | 1.3919 | 2.0 | 2916 | 1.8539 | 0.5137 | 0.3697 | 0.4841 | 0.4839 | 21.8345 |
59
+ | 0.9878 | 3.0 | 4374 | 1.9027 | 0.5441 | 0.401 | 0.5174 | 0.5171 | 20.1487 |
60
+ | 0.6594 | 4.0 | 5832 | 2.0362 | 0.5628 | 0.4272 | 0.5385 | 0.538 | 21.3417 |
61
+ | 0.4691 | 5.0 | 7290 | 2.1218 | 0.5637 | 0.4319 | 0.5369 | 0.5371 | 21.5048 |
62
+
63
+
64
+ ### Framework versions
65
+
66
+ - Transformers 4.35.1
67
+ - Pytorch 2.1.0+cu121
68
+ - Datasets 2.14.6
69
+ - Tokenizers 0.14.1
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 0,
3
+ "decoder_start_token_id": 2,
4
+ "early_stopping": true,
5
+ "eos_token_id": 2,
6
+ "forced_eos_token_id": 2,
7
+ "max_length": 62,
8
+ "min_length": 11,
9
+ "no_repeat_ngram_size": 3,
10
+ "num_beams": 6,
11
+ "pad_token_id": 1,
12
+ "transformers_version": "4.35.1"
13
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9c3516e9d505c39b15c371c2087d373b003e7a7e03be360c1e7c172b545f77f8
3
  size 1625422896
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68fbbf3037409008ececbce482d88ec28a6b8ac94e73d693c4524c41cfa96dd7
3
  size 1625422896