taiypeo commited on
Commit
a024aff
·
verified ·
1 Parent(s): 8cbc3ce

Model save

Browse files
Files changed (2) hide show
  1. README.md +71 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/bart-large
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - rouge
9
+ model-index:
10
+ - name: bart-large-aeslc-rouge-3-loss-differentiable-10-cnt-supervised
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # bart-large-aeslc-rouge-3-loss-differentiable-10-cnt-supervised
18
+
19
+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 5.1776
22
+ - Rouge1: 0.2418
23
+ - Rouge2: 0.1239
24
+ - Rougel: 0.2314
25
+ - Rougelsum: 0.2311
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: 1e-05
45
+ - train_batch_size: 2
46
+ - eval_batch_size: 2
47
+ - seed: 42
48
+ - gradient_accumulation_steps: 2
49
+ - total_train_batch_size: 4
50
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
51
+ - lr_scheduler_type: linear
52
+ - lr_scheduler_warmup_ratio: 0.06
53
+ - num_epochs: 20
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
58
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
59
+ | 3.8234 | 3.4 | 10 | 5.0940 | 0.2049 | 0.1039 | 0.1952 | 0.1954 |
60
+ | 1.7867 | 6.8 | 20 | 5.1776 | 0.2418 | 0.1239 | 0.2314 | 0.2311 |
61
+ | 1.3308 | 10.0 | 30 | 5.4160 | 0.2345 | 0.1139 | 0.2216 | 0.2215 |
62
+ | 0.7055 | 13.4 | 40 | 5.7111 | 0.236 | 0.1141 | 0.2235 | 0.2235 |
63
+ | 0.5036 | 16.8 | 50 | 5.9660 | 0.2347 | 0.1118 | 0.2221 | 0.2222 |
64
+
65
+
66
+ ### Framework versions
67
+
68
+ - Transformers 4.57.3
69
+ - Pytorch 2.9.1+cu128
70
+ - Datasets 3.6.0
71
+ - Tokenizers 0.22.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bb452991da38c05cfdb7c5822a5df206589a15b27d8cff000d6d88ce2d5aefec
3
  size 1625426996
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:915f1b578aea0cb0b0b80163ad436e65a608b39be2a94d23df53ef585bea5424
3
  size 1625426996