Update README.md
Browse files
README.md
CHANGED
|
@@ -6,6 +6,8 @@ tags:
|
|
| 6 |
model-index:
|
| 7 |
- name: PII_T5
|
| 8 |
results: []
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
|
| 14 |
# PII_T5
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
@@ -32,14 +34,14 @@ More information needed
|
|
| 32 |
### Training hyperparameters
|
| 33 |
|
| 34 |
The following hyperparameters were used during training:
|
| 35 |
-
- learning_rate: 5e-
|
| 36 |
- train_batch_size: 24
|
| 37 |
- eval_batch_size: 8
|
| 38 |
- seed: 42
|
| 39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 40 |
- lr_scheduler_type: linear
|
| 41 |
- lr_scheduler_warmup_ratio: 0.2
|
| 42 |
-
- num_epochs:
|
| 43 |
|
| 44 |
### Training results
|
| 45 |
|
|
@@ -50,4 +52,4 @@ The following hyperparameters were used during training:
|
|
| 50 |
- Transformers 4.31.0
|
| 51 |
- Pytorch 2.0.1+cu117
|
| 52 |
- Datasets 2.13.1
|
| 53 |
-
- Tokenizers 0.13.3
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: PII_T5
|
| 8 |
results: []
|
| 9 |
+
datasets:
|
| 10 |
+
- ai4privacy/pii-masking-65k
|
| 11 |
---
|
| 12 |
|
| 13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 15 |
|
| 16 |
# PII_T5
|
| 17 |
|
| 18 |
+
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on ai4privacy/pii-masking-65k dataset.
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 34 |
### Training hyperparameters
|
| 35 |
|
| 36 |
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 5e-07
|
| 38 |
- train_batch_size: 24
|
| 39 |
- eval_batch_size: 8
|
| 40 |
- seed: 42
|
| 41 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 42 |
- lr_scheduler_type: linear
|
| 43 |
- lr_scheduler_warmup_ratio: 0.2
|
| 44 |
+
- num_epochs: 3
|
| 45 |
|
| 46 |
### Training results
|
| 47 |
|
|
|
|
| 52 |
- Transformers 4.31.0
|
| 53 |
- Pytorch 2.0.1+cu117
|
| 54 |
- Datasets 2.13.1
|
| 55 |
+
- Tokenizers 0.13.3
|