Hugging Face's logo

gokulsrinivasagan
/
distilbert_lda_100_v1_stsb

Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
gokulsrinivasagan commited on
Commit
c372f46
·
verified ·
1 Parent(s): 38e5692

Model save

Browse files
Files changed (3) hide show
  1. README.md +22 -30
  2. logs/events.out.tfevents.1733321027.ki-g0008.1206436.30 +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,28 +1,13 @@
1
  ---
2
  library_name: transformers
3
- language:
4
- - en
5
  base_model: gokulsrinivasagan/distilbert_lda_100_v1
6
  tags:
7
  - generated_from_trainer
8
- datasets:
9
- - glue
10
  metrics:
11
  - spearmanr
12
  model-index:
13
  - name: distilbert_lda_100_v1_stsb
14
- results:
15
- - task:
16
- name: Text Classification
17
- type: text-classification
18
- dataset:
19
- name: GLUE STSB
20
- type: glue
21
- args: stsb
22
- metrics:
23
- - name: Spearmanr
24
- type: spearmanr
25
- value: .nan
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
30
 
31
  # distilbert_lda_100_v1_stsb
32
 
33
- This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_100_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_100_v1) on the GLUE STSB dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 2.2834
36
- - Pearson: nan
37
- - Spearmanr: nan
38
- - Combined Score: nan
39
 
40
  ## Model description
41
 
@@ -54,7 +39,7 @@ More information needed
54
  ### Training hyperparameters
55
 
56
  The following hyperparameters were used during training:
57
- - learning_rate: 0.001
58
  - train_batch_size: 256
59
  - eval_batch_size: 256
60
  - seed: 10
@@ -66,14 +51,21 @@ The following hyperparameters were used during training:
66
 
67
  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
68
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
69
- | 5.2042 | 1.0 | 23 | 2.2958 | nan | nan | nan |
70
- | 2.2241 | 2.0 | 46 | 2.8778 | nan | nan | nan |
71
- | 2.1945 | 3.0 | 69 | 2.2834 | nan | nan | nan |
72
- | 2.2493 | 4.0 | 92 | 2.3354 | nan | nan | nan |
73
- | 2.2051 | 5.0 | 115 | 2.5274 | nan | nan | nan |
74
- | 2.1982 | 6.0 | 138 | 2.3759 | nan | nan | nan |
75
- | 2.1983 | 7.0 | 161 | 2.8532 | nan | nan | nan |
76
- | 2.1885 | 8.0 | 184 | 2.7601 | nan | nan | nan |
 
 
 
 
 
 
 
77
 
78
 
79
  ### Framework versions
 
1
  ---
2
  library_name: transformers
 
 
3
  base_model: gokulsrinivasagan/distilbert_lda_100_v1
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - spearmanr
8
  model-index:
9
  - name: distilbert_lda_100_v1_stsb
10
+ results: []
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
15
 
16
  # distilbert_lda_100_v1_stsb
17
 
18
+ This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_100_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_100_v1) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.1066
21
+ - Pearson: 0.7473
22
+ - Spearmanr: 0.7433
23
+ - Combined Score: 0.7453
24
 
25
  ## Model description
26
 
 
39
  ### Training hyperparameters
40
 
41
  The following hyperparameters were used during training:
42
+ - learning_rate: 5e-05
43
  - train_batch_size: 256
44
  - eval_batch_size: 256
45
  - seed: 10
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
53
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
54
+ | 2.622 | 1.0 | 23 | 2.5298 | 0.1011 | 0.0891 | 0.0951 |
55
+ | 1.8404 | 2.0 | 46 | 2.3343 | 0.4642 | 0.4648 | 0.4645 |
56
+ | 1.3143 | 3.0 | 69 | 1.2509 | 0.6736 | 0.6670 | 0.6703 |
57
+ | 0.8809 | 4.0 | 92 | 1.3874 | 0.7172 | 0.7254 | 0.7213 |
58
+ | 0.6317 | 5.0 | 115 | 1.5835 | 0.7091 | 0.7238 | 0.7164 |
59
+ | 0.5139 | 6.0 | 138 | 1.2793 | 0.7443 | 0.7470 | 0.7456 |
60
+ | 0.3919 | 7.0 | 161 | 1.0238 | 0.7576 | 0.7535 | 0.7556 |
61
+ | 0.3125 | 8.0 | 184 | 1.4519 | 0.7331 | 0.7349 | 0.7340 |
62
+ | 0.281 | 9.0 | 207 | 1.2564 | 0.7390 | 0.7374 | 0.7382 |
63
+ | 0.2395 | 10.0 | 230 | 0.9153 | 0.7758 | 0.7704 | 0.7731 |
64
+ | 0.2219 | 11.0 | 253 | 1.2411 | 0.7509 | 0.7509 | 0.7509 |
65
+ | 0.1923 | 12.0 | 276 | 1.5144 | 0.7429 | 0.7444 | 0.7436 |
66
+ | 0.1688 | 13.0 | 299 | 1.0667 | 0.7518 | 0.7468 | 0.7493 |
67
+ | 0.1494 | 14.0 | 322 | 1.2371 | 0.7502 | 0.7483 | 0.7493 |
68
+ | 0.1498 | 15.0 | 345 | 1.1066 | 0.7473 | 0.7433 | 0.7453 |
69
 
70
 
71
  ### Framework versions
logs/events.out.tfevents.1733321027.ki-g0008.1206436.30 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:139b7cd9319f3682d7645a20971aac6ee72059b14a99d444934976c01cd63250
3
- size 5741
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0e124c7a67fa4fb9dc35e5afdc4211d32e2e8bd9113ebbef0edd08cc784a893
3
+ size 15063
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9183d8ea74de242ac3f579780047d03536f93be8a9ee4d0bd38e12ae0c746e52
3
  size 267829484
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35d510430fcb24b592b48a1b20199eed91aef79f11250a79049fe5ac5039face
3
  size 267829484