Hugging Face's logo

jaggernaut007
/
keyphrase-extraction-distilbert-inspec-finetuned-ner

Token Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
jaggernaut007 commited on
Commit
2d0e1da
·
verified ·
1 Parent(s): 7641546

End of training

Browse files
Files changed (3) hide show
  1. README.md +13 -16
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
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 [ml6team/keyphrase-extraction-distilbert-inspec](https://huggingface.co/ml6team/keyphrase-extraction-distilbert-inspec) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.3161
24
- - Precision: 0.9068
25
- - Recall: 0.9119
26
- - F1: 0.9094
27
- - Accuracy: 0.9015
28
 
29
  ## Model description
30
 
@@ -44,27 +44,24 @@ More information needed
44
 
45
  The following hyperparameters were used during training:
46
  - learning_rate: 0.0002
47
- - train_batch_size: 64
48
  - eval_batch_size: 4
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
  - num_epochs: 10
53
- - mixed_precision_training: Native AMP
54
 
55
  ### Training results
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
58
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
59
- | No log | 0.59 | 10 | 0.4403 | 0.8234 | 0.8643 | 0.8433 | 0.8282 |
60
- | No log | 1.18 | 20 | 0.3432 | 0.8806 | 0.8796 | 0.8801 | 0.8714 |
61
- | No log | 1.76 | 30 | 0.3102 | 0.8818 | 0.9022 | 0.8919 | 0.8838 |
62
- | No log | 2.35 | 40 | 0.3139 | 0.9009 | 0.8939 | 0.8974 | 0.8907 |
63
- | No log | 2.94 | 50 | 0.2956 | 0.9063 | 0.8953 | 0.9008 | 0.8922 |
64
- | No log | 3.53 | 60 | 0.3161 | 0.9068 | 0.9119 | 0.9094 | 0.9015 |
65
- | No log | 4.12 | 70 | 0.3459 | 0.9019 | 0.9154 | 0.9086 | 0.9006 |
66
- | No log | 4.71 | 80 | 0.3387 | 0.9078 | 0.9099 | 0.9089 | 0.9017 |
67
- | No log | 5.29 | 90 | 0.3658 | 0.9081 | 0.8982 | 0.9032 | 0.8942 |
68
 
69
 
70
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [ml6team/keyphrase-extraction-distilbert-inspec](https://huggingface.co/ml6team/keyphrase-extraction-distilbert-inspec) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.7236
24
+ - Precision: 0.7952
25
+ - Recall: 0.8590
26
+ - F1: 0.8259
27
+ - Accuracy: 0.7952
28
 
29
  ## Model description
30
 
 
44
 
45
  The following hyperparameters were used during training:
46
  - learning_rate: 0.0002
47
+ - train_batch_size: 16
48
  - eval_batch_size: 4
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
  - num_epochs: 10
 
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | No log | 0.15 | 10 | 0.7251 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
59
+ | No log | 0.3 | 20 | 0.7239 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
60
+ | No log | 0.45 | 30 | 0.7239 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
61
+ | No log | 0.6 | 40 | 0.7236 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
62
+ | No log | 0.75 | 50 | 0.7241 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
63
+ | No log | 0.9 | 60 | 0.7238 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
64
+ | No log | 1.04 | 70 | 0.7241 | 0.7952 | 0.8590 | 0.8259 | 0.7952 |
 
 
65
 
66
 
67
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:034bdc010e9653203930571b7f9e78a576d1344170ee359f8a4d9ff58a6c3012
3
  size 265476168
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dbc0a08e6ec5fdbceb1953feaa531a6cae782c5810d03706589f2e2048557619
3
  size 265476168
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:11e4ec6176b240c4c2c6a90105bc9183cfaa56661c346a9115e753cb5dfb2b2d
3
  size 4984
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cadd7e9878f416fba19e76acc6cf107f999efc6078008a39a126b3f66ee9826
3
  size 4984