gokulsrinivasagan commited on
Commit
a3d6c79
1 Parent(s): 8d674e6

Model save

Browse files
README.md ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ base_model: gokulsrinivasagan/bert_base_lda_50_v1
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: bert_base_lda_50_v1_qnli
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
+ # bert_base_lda_50_v1_qnli
17
+
18
+ This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_50_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_50_v1) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.6933
21
+ - Accuracy: 0.5054
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 0.001
41
+ - train_batch_size: 256
42
+ - eval_batch_size: 256
43
+ - seed: 10
44
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 50
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | 0.7377 | 1.0 | 410 | 0.6914 | 0.5054 |
53
+ | 0.6931 | 2.0 | 820 | 0.6933 | 0.5054 |
54
+ | 0.6931 | 3.0 | 1230 | 0.6933 | 0.5054 |
55
+ | 0.6931 | 4.0 | 1640 | 0.6933 | 0.5054 |
56
+ | 0.6931 | 5.0 | 2050 | 0.6935 | 0.4946 |
57
+ | 0.6932 | 6.0 | 2460 | 0.6933 | 0.5054 |
58
+
59
+
60
+ ### Framework versions
61
+
62
+ - Transformers 4.46.3
63
+ - Pytorch 2.2.1+cu118
64
+ - Datasets 2.17.0
65
+ - Tokenizers 0.20.3
logs/events.out.tfevents.1732640416.ki-g0008.2137300.4 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:44c293663af7973224bbbbf26e9759417be9c70eae212b6901829da12bd4fd8a
3
- size 7757
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce85a733dfdcd2b539fede0811b4243a8a8cc73a62d5e3a058f08f99c7621b0c
3
+ size 8645
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3fe04ad7b5c38ab4ad1b5321ef09221ee7bc380903f58dd9e7519e831a27fb94
3
  size 437953248
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c5fb2886620a82b23136609950746aec0a44172244c8f81f263dad6bca2ecde
3
  size 437953248