bill1888_finetuning
Browse files
README.md
CHANGED
|
@@ -22,7 +22,7 @@ model-index:
|
|
| 22 |
metrics:
|
| 23 |
- name: Bleu
|
| 24 |
type: bleu
|
| 25 |
-
value: 50.
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 33 |
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
- Loss: 0.9637
|
| 36 |
-
- Bleu: 50.
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
@@ -59,7 +59,6 @@ The following hyperparameters were used during training:
|
|
| 59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 60 |
- lr_scheduler_type: linear
|
| 61 |
- num_epochs: 1
|
| 62 |
-
- mixed_precision_training: Native AMP
|
| 63 |
|
| 64 |
### Training results
|
| 65 |
|
|
|
|
| 22 |
metrics:
|
| 23 |
- name: Bleu
|
| 24 |
type: bleu
|
| 25 |
+
value: 50.39883182283185
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 33 |
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
- Loss: 0.9637
|
| 36 |
+
- Bleu: 50.3988
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
|
|
| 59 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 60 |
- lr_scheduler_type: linear
|
| 61 |
- num_epochs: 1
|
|
|
|
| 62 |
|
| 63 |
### Training results
|
| 64 |
|