Update README.md
Browse files
README.md
CHANGED
|
@@ -1,11 +1,17 @@
|
|
| 1 |
---
|
| 2 |
-
license:
|
| 3 |
base_model: distilbert-base-uncased
|
| 4 |
tags:
|
| 5 |
- generated_from_keras_callback
|
| 6 |
model-index:
|
| 7 |
- name: Distilbert_Masked_Language_Model_IMDB
|
| 8 |
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
|
@@ -17,20 +23,6 @@ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingf
|
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
|
| 19 |
|
| 20 |
-
## Model description
|
| 21 |
-
|
| 22 |
-
More information needed
|
| 23 |
-
|
| 24 |
-
## Intended uses & limitations
|
| 25 |
-
|
| 26 |
-
More information needed
|
| 27 |
-
|
| 28 |
-
## Training and evaluation data
|
| 29 |
-
|
| 30 |
-
More information needed
|
| 31 |
-
|
| 32 |
-
## Training procedure
|
| 33 |
-
|
| 34 |
### Training hyperparameters
|
| 35 |
|
| 36 |
The following hyperparameters were used during training:
|
|
@@ -38,12 +30,11 @@ The following hyperparameters were used during training:
|
|
| 38 |
- training_precision: float32
|
| 39 |
|
| 40 |
### Training results
|
| 41 |
-
|
| 42 |
-
|
| 43 |
|
| 44 |
### Framework versions
|
| 45 |
|
| 46 |
- Transformers 4.35.2
|
| 47 |
- TensorFlow 2.14.0
|
| 48 |
- Datasets 2.15.0
|
| 49 |
-
- Tokenizers 0.15.0
|
|
|
|
| 1 |
---
|
| 2 |
+
license: mit
|
| 3 |
base_model: distilbert-base-uncased
|
| 4 |
tags:
|
| 5 |
- generated_from_keras_callback
|
| 6 |
model-index:
|
| 7 |
- name: Distilbert_Masked_Language_Model_IMDB
|
| 8 |
results: []
|
| 9 |
+
datasets:
|
| 10 |
+
- imdb
|
| 11 |
+
language:
|
| 12 |
+
- en
|
| 13 |
+
metrics:
|
| 14 |
+
- perplexity
|
| 15 |
---
|
| 16 |
|
| 17 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
|
|
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
|
| 25 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
### Training hyperparameters
|
| 27 |
|
| 28 |
The following hyperparameters were used during training:
|
|
|
|
| 30 |
- training_precision: float32
|
| 31 |
|
| 32 |
### Training results
|
| 33 |
+
perplexity = 13
|
|
|
|
| 34 |
|
| 35 |
### Framework versions
|
| 36 |
|
| 37 |
- Transformers 4.35.2
|
| 38 |
- TensorFlow 2.14.0
|
| 39 |
- Datasets 2.15.0
|
| 40 |
+
- Tokenizers 0.15.0
|