jgibb commited on
Commit
3d8ecbc
1 Parent(s): 6587eee

training completed[dev]: 1024 128

Browse files
README.md ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/bart-large
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ - wer
9
+ model-index:
10
+ - name: BART_1st_STAGE_SUMMARIZER
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_1st_STAGE_SUMMARIZER
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: 1.1826
22
+ - Rouge1: 0.7384
23
+ - Rouge2: 0.5134
24
+ - Rougel: 0.6809
25
+ - Rougelsum: 0.6852
26
+ - Wer: 0.3923
27
+
28
+ ## Model description
29
+
30
+ More information needed
31
+
32
+ ## Intended uses & limitations
33
+
34
+ More information needed
35
+
36
+ ## Training and evaluation data
37
+
38
+ More information needed
39
+
40
+ ## Training procedure
41
+
42
+ ### Training hyperparameters
43
+
44
+ The following hyperparameters were used during training:
45
+ - learning_rate: 2e-05
46
+ - train_batch_size: 6
47
+ - eval_batch_size: 6
48
+ - seed: 42
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: linear
51
+ - num_epochs: 1
52
+ - mixed_precision_training: Native AMP
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Wer |
57
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
58
+ | No log | 0.21 | 250 | 1.3973 | 0.7211 | 0.486 | 0.6611 | 0.6661 | 0.417 |
59
+ | 1.969 | 0.42 | 500 | 1.2499 | 0.7303 | 0.4988 | 0.67 | 0.6745 | 0.4056 |
60
+ | 1.969 | 0.63 | 750 | 1.2039 | 0.734 | 0.5068 | 0.6761 | 0.6798 | 0.3977 |
61
+ | 1.3659 | 0.84 | 1000 | 1.1826 | 0.7384 | 0.5134 | 0.6809 | 0.6852 | 0.3923 |
62
+
63
+
64
+ ### Framework versions
65
+
66
+ - Transformers 4.38.2
67
+ - Pytorch 2.2.1+cu121
68
+ - Datasets 2.18.0
69
+ - Tokenizers 0.15.2
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "decoder_start_token_id": 2,
5
+ "early_stopping": true,
6
+ "eos_token_id": 2,
7
+ "forced_bos_token_id": 0,
8
+ "forced_eos_token_id": 2,
9
+ "no_repeat_ngram_size": 3,
10
+ "num_beams": 4,
11
+ "pad_token_id": 1,
12
+ "transformers_version": "4.38.2"
13
+ }
runs/Mar22_01-20-12_bad7bb7c17b2/events.out.tfevents.1711070426.bad7bb7c17b2.1690.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:877700e45aed5bc26a2dd5ec79afda68884613a85230f2dbb150629f82746086
3
- size 8291
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c07efedf4cbaa571de87d613a9d97c6d0e4ca23c1d7395789d1488fc819976d6
3
+ size 8645