Commit
•
e7946ef
1
Parent(s):
30f04f1
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- precision
|
| 7 |
+
- recall
|
| 8 |
+
- f1
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
|
| 11 |
+
- name: bert-base-uncased-finetuned-scientific-eval
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# bert-base-uncased-finetuned-scientific-eval
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.1920
|
| 23 |
+
- Precision: 0.6240
|
| 24 |
+
- Recall: 0.7066
|
| 25 |
+
- F1: 0.6627
|
| 26 |
+
- Accuracy: 0.9502
|
| 27 |
+
|
| 28 |
+
## Model description
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Intended uses & limitations
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training and evaluation data
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Training procedure
|
| 41 |
+
|
| 42 |
+
### Training hyperparameters
|
| 43 |
+
|
| 44 |
+
The following hyperparameters were used during training:
|
| 45 |
+
- learning_rate: 2e-05
|
| 46 |
+
- train_batch_size: 16
|
| 47 |
+
- eval_batch_size: 16
|
| 48 |
+
- seed: 42
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: linear
|
| 51 |
+
- num_epochs: 10
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
| 57 |
+
| No log | 1.0 | 71 | 0.3069 | 0.4263 | 0.3375 | 0.3768 | 0.9212 |
|
| 58 |
+
| No log | 2.0 | 142 | 0.2241 | 0.4883 | 0.5899 | 0.5343 | 0.9359 |
|
| 59 |
+
| No log | 3.0 | 213 | 0.1962 | 0.5745 | 0.6688 | 0.6181 | 0.9441 |
|
| 60 |
+
| No log | 4.0 | 284 | 0.1920 | 0.6240 | 0.7066 | 0.6627 | 0.9502 |
|
| 61 |
+
| No log | 5.0 | 355 | 0.2107 | 0.5694 | 0.7634 | 0.6523 | 0.9465 |
|
| 62 |
+
| No log | 6.0 | 426 | 0.2070 | 0.6286 | 0.7634 | 0.6895 | 0.9514 |
|
| 63 |
+
| No log | 7.0 | 497 | 0.2129 | 0.6193 | 0.7697 | 0.6864 | 0.9499 |
|
| 64 |
+
| 0.1579 | 8.0 | 568 | 0.2269 | 0.6496 | 0.7603 | 0.7006 | 0.9529 |
|
| 65 |
+
| 0.1579 | 9.0 | 639 | 0.2274 | 0.6366 | 0.7571 | 0.6916 | 0.9519 |
|
| 66 |
+
| 0.1579 | 10.0 | 710 | 0.2285 | 0.6486 | 0.7571 | 0.6987 | 0.9522 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Framework versions
|
| 70 |
+
|
| 71 |
+
- Transformers 4.27.2
|
| 72 |
+
- Pytorch 2.0.1+cu118
|
| 73 |
+
- Datasets 2.12.0
|
| 74 |
+
- Tokenizers 0.13.3
|