Hugging Face's logo

tringuyen-uit
/
ER_new_context

Question Answering
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
tringuyen-uit commited on
Commit
363732b
·
verified ·
1 Parent(s): 7610582

End of training

Browse files
Files changed (3) hide show
  1. README.md +87 -0
  2. model.safetensors +1 -1
  3. runs/May28_02-58-58_87292875f7cd/events.out.tfevents.1716865140.87292875f7cd.24.0 +2 -2
README.md ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: VietAI/vit5-base
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: ER_new_context
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
+ # ER_new_context
15
+
16
+ This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.4057
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: 2e-05
38
+ - train_batch_size: 16
39
+ - eval_batch_size: 16
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 3
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:-----:|:----:|:---------------:|
49
+ | 3.2979 | 0.1 | 100 | 1.2437 |
50
+ | 1.1026 | 0.19 | 200 | 0.7365 |
51
+ | 0.7482 | 0.29 | 300 | 0.5781 |
52
+ | 0.6258 | 0.38 | 400 | 0.5159 |
53
+ | 0.5153 | 0.48 | 500 | 0.4504 |
54
+ | 0.4802 | 0.57 | 600 | 0.4455 |
55
+ | 0.4905 | 0.67 | 700 | 0.4059 |
56
+ | 0.382 | 0.76 | 800 | 0.4778 |
57
+ | 0.3728 | 0.86 | 900 | 0.3985 |
58
+ | 0.3274 | 0.96 | 1000 | 0.3982 |
59
+ | 0.3639 | 1.05 | 1100 | 0.4184 |
60
+ | 0.2881 | 1.15 | 1200 | 0.4454 |
61
+ | 0.3194 | 1.24 | 1300 | 0.3778 |
62
+ | 0.2695 | 1.34 | 1400 | 0.3957 |
63
+ | 0.2894 | 1.43 | 1500 | 0.4000 |
64
+ | 0.276 | 1.53 | 1600 | 0.3984 |
65
+ | 0.2325 | 1.62 | 1700 | 0.3627 |
66
+ | 0.2192 | 1.72 | 1800 | 0.3782 |
67
+ | 0.279 | 1.81 | 1900 | 0.4161 |
68
+ | 0.2636 | 1.91 | 2000 | 0.4026 |
69
+ | 0.2932 | 2.01 | 2100 | 0.3232 |
70
+ | 0.206 | 2.1 | 2200 | 0.3633 |
71
+ | 0.1865 | 2.2 | 2300 | 0.4019 |
72
+ | 0.1651 | 2.29 | 2400 | 0.4385 |
73
+ | 0.167 | 2.39 | 2500 | 0.4277 |
74
+ | 0.1705 | 2.48 | 2600 | 0.4083 |
75
+ | 0.2321 | 2.58 | 2700 | 0.3667 |
76
+ | 0.1912 | 2.67 | 2800 | 0.3772 |
77
+ | 0.192 | 2.77 | 2900 | 0.4032 |
78
+ | 0.1881 | 2.87 | 3000 | 0.4059 |
79
+ | 0.152 | 2.96 | 3100 | 0.4057 |
80
+
81
+
82
+ ### Framework versions
83
+
84
+ - Transformers 4.39.3
85
+ - Pytorch 2.1.2
86
+ - Datasets 2.18.0
87
+ - Tokenizers 0.15.2
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b305a32ac7e0bc948ac8aeea8f6450a16593ecb9e53c25bd6508e833ba2f14f5
3
  size 903840728
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db26f03e3ac472b287ff30ea8454e359dee10b526def6e492dd7102b0727ce8e
3
  size 903840728
runs/May28_02-58-58_87292875f7cd/events.out.tfevents.1716865140.87292875f7cd.24.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:88e51af7d0ff5e9252934f4796c9d2bcf21d4954412978950dba0ec2dfb6ff89
3
- size 19201
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b182e7595c7dcfba829a7950e4e1a7355dbde4042c04468654aecb482671c54
3
+ size 20037