Hugging Face's logo

arushisharma
/
finetuned_bert_pos_model

Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
arushisharma commited on
Commit
0e692b9
•
1 Parent(s): e5a3737

Model save

Browse files
Files changed (3) hide show
  1. README.md +13 -10
  2. model.safetensors +1 -1
  3. runs/Mar25_16-12-02_8296f25da3be/events.out.tfevents.1711383123.8296f25da3be.564.1 +2 -2
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.1457
24
- - Precision: 0.9549
25
- - Recall: 0.9567
26
- - F1: 0.9558
27
- - Accuracy: 0.9618
28
 
29
  ## Model description
30
 
@@ -44,19 +44,22 @@ More information needed
44
 
45
  The following hyperparameters were used during training:
46
  - learning_rate: 2e-05
47
- - train_batch_size: 16
48
- - eval_batch_size: 16
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
- - num_epochs: 2
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | 0.4497 | 1.0 | 784 | 0.1554 | 0.9514 | 0.9531 | 0.9522 | 0.9591 |
59
- | 0.0943 | 2.0 | 1568 | 0.1457 | 0.9549 | 0.9567 | 0.9558 | 0.9618 |
 
 
 
60
 
61
 
62
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.1559
24
+ - Precision: 0.9454
25
+ - Recall: 0.9426
26
+ - F1: 0.9440
27
+ - Accuracy: 0.9521
28
 
29
  ## Model description
30
 
 
44
 
45
  The following hyperparameters were used during training:
46
  - learning_rate: 2e-05
47
+ - train_batch_size: 128
48
+ - eval_batch_size: 128
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
+ - num_epochs: 5
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | No log | 1.0 | 123 | 0.1823 | 0.9362 | 0.9322 | 0.9342 | 0.9438 |
59
+ | No log | 2.0 | 246 | 0.1700 | 0.9409 | 0.9381 | 0.9395 | 0.9482 |
60
+ | No log | 3.0 | 369 | 0.1618 | 0.9431 | 0.9403 | 0.9417 | 0.9501 |
61
+ | No log | 4.0 | 492 | 0.1564 | 0.9448 | 0.9418 | 0.9433 | 0.9516 |
62
+ | 0.1554 | 5.0 | 615 | 0.1559 | 0.9454 | 0.9426 | 0.9440 | 0.9521 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:68f9d8ec2cc6fee3b734b78a8cf29481d1846c8a5587b797fa1124259f23e17e
3
  size 265519232
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36b7a8b84f5a9322fa70cea7355ad565e252f1c74ba2eeaa8610281565058be9
3
  size 265519232
runs/Mar25_16-12-02_8296f25da3be/events.out.tfevents.1711383123.8296f25da3be.564.1 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:68e06ddbeac30d6ba56e1f416c3b82a40ca32c9c766aa6dda1444f0d7ef9bc96
3
- size 6542
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ecca567472ccdf5c7ea641cffb0408d241852d2b6c3a1f6f7d0190ac197f072e
3
+ size 8051