fahad1770 commited on
Commit
b1f8049
1 Parent(s): 6a6bef5

Model save

Browse files
Files changed (2) hide show
  1. README.md +74 -0
  2. generation_config.json +7 -0
README.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/mt5-small
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: bengali_news_article_summarization_mt5
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # bengali_news_article_summarization_mt5
15
+
16
+ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.2111
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 0.001
38
+ - train_batch_size: 20
39
+ - eval_batch_size: 16
40
+ - seed: 42
41
+ - gradient_accumulation_steps: 8
42
+ - total_train_batch_size: 160
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: cosine_with_restarts
45
+ - lr_scheduler_warmup_steps: 100
46
+ - num_epochs: 15
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss |
51
+ |:-------------:|:-----:|:----:|:---------------:|
52
+ | No log | 0.99 | 83 | 0.8963 |
53
+ | No log | 2.0 | 167 | 0.3201 |
54
+ | 9.149 | 2.99 | 250 | 0.2583 |
55
+ | 9.149 | 3.99 | 334 | 0.2372 |
56
+ | 0.3009 | 5.0 | 418 | 0.2298 |
57
+ | 0.3009 | 5.99 | 501 | 0.2244 |
58
+ | 0.3009 | 7.0 | 585 | 0.2213 |
59
+ | 0.2524 | 8.0 | 669 | 0.2163 |
60
+ | 0.2524 | 8.99 | 752 | 0.2136 |
61
+ | 0.2306 | 10.0 | 836 | 0.2126 |
62
+ | 0.2306 | 10.99 | 919 | 0.2117 |
63
+ | 0.2176 | 11.99 | 1003 | 0.2120 |
64
+ | 0.2176 | 13.0 | 1087 | 0.2116 |
65
+ | 0.2176 | 13.99 | 1170 | 0.2111 |
66
+ | 0.2119 | 14.89 | 1245 | 0.2111 |
67
+
68
+
69
+ ### Framework versions
70
+
71
+ - Transformers 4.39.3
72
+ - Pytorch 2.1.2
73
+ - Datasets 2.18.0
74
+ - Tokenizers 0.15.2
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "decoder_start_token_id": 0,
4
+ "eos_token_id": 1,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.39.3"
7
+ }