update model card README.md
Browse files
README.md
CHANGED
|
@@ -1,9 +1,8 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
-
datasets:
|
| 6 |
-
- amazon_reviews_multi
|
| 7 |
model-index:
|
| 8 |
- name: xlm-roberta-base-finetuned-marc-en
|
| 9 |
results: []
|
|
@@ -14,10 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# xlm-roberta-base-finetuned-marc-en
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on
|
| 18 |
-
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 0.9872
|
| 20 |
-
- Mae: 0.4878
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
@@ -37,24 +33,16 @@ More information needed
|
|
| 37 |
|
| 38 |
The following hyperparameters were used during training:
|
| 39 |
- learning_rate: 2e-05
|
| 40 |
-
- train_batch_size:
|
| 41 |
-
- eval_batch_size:
|
| 42 |
- seed: 42
|
| 43 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
- lr_scheduler_type: linear
|
| 45 |
- num_epochs: 2
|
| 46 |
|
| 47 |
-
### Training results
|
| 48 |
-
|
| 49 |
-
| Training Loss | Epoch | Step | Validation Loss | Mae |
|
| 50 |
-
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 51 |
-
| 1.1162 | 1.0 | 235 | 0.9885 | 0.4878 |
|
| 52 |
-
| 0.9559 | 2.0 | 470 | 0.9872 | 0.4878 |
|
| 53 |
-
|
| 54 |
-
|
| 55 |
### Framework versions
|
| 56 |
|
| 57 |
-
- Transformers 4.
|
| 58 |
- Pytorch 2.0.1+cu118
|
| 59 |
-
- Datasets 2.
|
| 60 |
- Tokenizers 0.13.3
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
base_model: xlm-roberta-base
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: xlm-roberta-base-finetuned-marc-en
|
| 8 |
results: []
|
|
|
|
| 13 |
|
| 14 |
# xlm-roberta-base-finetuned-marc-en
|
| 15 |
|
| 16 |
+
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
|
|
| 33 |
|
| 34 |
The following hyperparameters were used during training:
|
| 35 |
- learning_rate: 2e-05
|
| 36 |
+
- train_batch_size: 2
|
| 37 |
+
- eval_batch_size: 2
|
| 38 |
- seed: 42
|
| 39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 40 |
- lr_scheduler_type: linear
|
| 41 |
- num_epochs: 2
|
| 42 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
### Framework versions
|
| 44 |
|
| 45 |
+
- Transformers 4.31.0
|
| 46 |
- Pytorch 2.0.1+cu118
|
| 47 |
+
- Datasets 2.14.0
|
| 48 |
- Tokenizers 0.13.3
|