Model save
Browse files
README.md
CHANGED
@@ -2,13 +2,7 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: distilroberta-base
|
4 |
tags:
|
5 |
-
- text-classification
|
6 |
- generated_from_trainer
|
7 |
-
widget:
|
8 |
-
- text: "Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion., Yucaipa bought Dominick's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 billion in 1998."
|
9 |
-
example_title: Not Equivalent
|
10 |
-
- text: "Revenue in the first quarter of the year dropped 15 percent from the same period a year earlier., With the scandal hanging over Stewart's company revenue the first quarter of the year dropped 15 percent from the same period a year earlier."
|
11 |
-
example_title: Equivalent
|
12 |
metrics:
|
13 |
- accuracy
|
14 |
- f1
|
@@ -22,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
22 |
|
23 |
# platzi-distilroberta-base-mrpc-wgcv
|
24 |
|
25 |
-
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on
|
26 |
It achieves the following results on the evaluation set:
|
27 |
-
- Loss: 0.
|
28 |
-
- Accuracy: 0.
|
29 |
-
- F1: 0.
|
30 |
|
31 |
## Model description
|
32 |
|
@@ -46,8 +40,8 @@ More information needed
|
|
46 |
|
47 |
The following hyperparameters were used during training:
|
48 |
- learning_rate: 5e-05
|
49 |
-
- train_batch_size:
|
50 |
-
- eval_batch_size:
|
51 |
- seed: 42
|
52 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
53 |
- lr_scheduler_type: linear
|
@@ -55,6 +49,9 @@ The following hyperparameters were used during training:
|
|
55 |
|
56 |
### Training results
|
57 |
|
|
|
|
|
|
|
58 |
|
59 |
|
60 |
### Framework versions
|
@@ -62,4 +59,4 @@ The following hyperparameters were used during training:
|
|
62 |
- Transformers 4.41.2
|
63 |
- Pytorch 2.3.0+cu121
|
64 |
- Datasets 2.20.0
|
65 |
-
- Tokenizers 0.19.1
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: distilroberta-base
|
4 |
tags:
|
|
|
5 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
6 |
metrics:
|
7 |
- accuracy
|
8 |
- f1
|
|
|
16 |
|
17 |
# platzi-distilroberta-base-mrpc-wgcv
|
18 |
|
19 |
+
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.4002
|
22 |
+
- Accuracy: 0.8456
|
23 |
+
- F1: 0.8835
|
24 |
|
25 |
## Model description
|
26 |
|
|
|
40 |
|
41 |
The following hyperparameters were used during training:
|
42 |
- learning_rate: 5e-05
|
43 |
+
- train_batch_size: 16
|
44 |
+
- eval_batch_size: 16
|
45 |
- seed: 42
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
|
|
49 |
|
50 |
### Training results
|
51 |
|
52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
53 |
+
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
|
54 |
+
| 0.409 | 2.1739 | 500 | 0.4002 | 0.8456 | 0.8835 |
|
55 |
|
56 |
|
57 |
### Framework versions
|
|
|
59 |
- Transformers 4.41.2
|
60 |
- Pytorch 2.3.0+cu121
|
61 |
- Datasets 2.20.0
|
62 |
+
- Tokenizers 0.19.1
|
runs/Jun23_22-38-15_c261aaf0d6a8/events.out.tfevents.1719182301.c261aaf0d6a8.177.1
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d05ea7b78efce42c7b64549e9dff70758ac6361c7f9f3a077df34dfd4a3828bb
|
3 |
+
size 6049
|