Commit
·
45161f3
1
Parent(s):
9ff1e81
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
- recall
|
| 8 |
+
- precision
|
| 9 |
+
model-index:
|
| 10 |
+
- name: cudaTest
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# cudaTest
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.6334
|
| 22 |
+
- Compute Metrics: :
|
| 23 |
+
- Accuracy: 0.676
|
| 24 |
+
- Balanced Accuracy: 0.4893
|
| 25 |
+
- F1 Score: 0.8058
|
| 26 |
+
- Recall: 0.9655
|
| 27 |
+
- Precision: 0.6914
|
| 28 |
+
|
| 29 |
+
## Model description
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Intended uses & limitations
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training and evaluation data
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Training procedure
|
| 42 |
+
|
| 43 |
+
### Training hyperparameters
|
| 44 |
+
|
| 45 |
+
The following hyperparameters were used during training:
|
| 46 |
+
- learning_rate: 2e-05
|
| 47 |
+
- train_batch_size: 32
|
| 48 |
+
- eval_batch_size: 64
|
| 49 |
+
- seed: 42
|
| 50 |
+
- gradient_accumulation_steps: 8
|
| 51 |
+
- total_train_batch_size: 256
|
| 52 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 53 |
+
- lr_scheduler_type: linear
|
| 54 |
+
- num_epochs: 5
|
| 55 |
+
|
| 56 |
+
### Training results
|
| 57 |
+
|
| 58 |
+
| Training Loss | Epoch | Step | Validation Loss | Compute Metrics | Accuracy | Balanced Accuracy | F1 Score | Recall | Precision |
|
| 59 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:--------:|:-----------------:|:--------:|:------:|:---------:|
|
| 60 |
+
| No log | 1.0 | 2 | 0.6369 | : | 0.688 | 0.5017 | 0.8134 | 0.9770 | 0.6967 |
|
| 61 |
+
| No log | 2.0 | 4 | 0.6302 | : | 0.684 | 0.5043 | 0.8092 | 0.9626 | 0.6979 |
|
| 62 |
+
| No log | 3.0 | 6 | 0.6313 | : | 0.69 | 0.4975 | 0.8161 | 0.9885 | 0.6949 |
|
| 63 |
+
| No log | 4.0 | 8 | 0.6338 | : | 0.668 | 0.4854 | 0.7995 | 0.9511 | 0.6896 |
|
| 64 |
+
| 0.6818 | 5.0 | 10 | 0.6334 | : | 0.676 | 0.4893 | 0.8058 | 0.9655 | 0.6914 |
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
### Framework versions
|
| 68 |
+
|
| 69 |
+
- Transformers 4.26.0
|
| 70 |
+
- Pytorch 1.13.1+cu117
|
| 71 |
+
- Datasets 2.9.0
|
| 72 |
+
- Tokenizers 0.13.2
|