update model card README.md
Browse files
README.md
CHANGED
|
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [alvations/mt5-aym-zero](https://huggingface.co/alvations/mt5-aym-zero) on the None dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 0.
|
| 20 |
-
- Chrf: 23.
|
| 21 |
-
- Bleu: 2.
|
| 22 |
-
- Gen Len: 17.
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
@@ -45,16 +45,17 @@ The following hyperparameters were used during training:
|
|
| 45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_steps: 500
|
| 48 |
-
- training_steps:
|
| 49 |
|
| 50 |
### Training results
|
| 51 |
|
| 52 |
-
| Training Loss | Epoch | Step
|
| 53 |
-
|:-------------:|:-----:|:-----:|:------:|:-------:|:-------:|:---------------:|
|
| 54 |
-
| 0.0658 | 5.13 | 20000
|
| 55 |
-
| 0.0633 | 10.26 | 40000
|
| 56 |
-
| 0.059 | 15.39 | 60000
|
| 57 |
-
| 0.057 | 20.52 | 80000
|
|
|
|
| 58 |
|
| 59 |
|
| 60 |
### Framework versions
|
|
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [alvations/mt5-aym-zero](https://huggingface.co/alvations/mt5-aym-zero) on the None dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.2035
|
| 20 |
+
- Chrf: 23.9937
|
| 21 |
+
- Bleu: 2.9371
|
| 22 |
+
- Gen Len: 17.1956
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
|
|
| 45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_steps: 500
|
| 48 |
+
- training_steps: 100000
|
| 49 |
|
| 50 |
### Training results
|
| 51 |
|
| 52 |
+
| Training Loss | Epoch | Step | Bleu | Chrf | Gen Len | Validation Loss |
|
| 53 |
+
|:-------------:|:-----:|:------:|:------:|:-------:|:-------:|:---------------:|
|
| 54 |
+
| 0.0658 | 5.13 | 20000 | 2.9963 | 23.9471 | 17.2839 | 0.1892 |
|
| 55 |
+
| 0.0633 | 10.26 | 40000 | 2.9953 | 24.004 | 17.2648 | 0.1932 |
|
| 56 |
+
| 0.059 | 15.39 | 60000 | 2.9368 | 24.0104 | 17.2207 | 0.1975 |
|
| 57 |
+
| 0.057 | 20.52 | 80000 | 2.9962 | 23.978 | 17.1725 | 0.2006 |
|
| 58 |
+
| 0.055 | 25.65 | 100000 | 0.2035 | 23.9937 | 2.9371 | 17.1956 |
|
| 59 |
|
| 60 |
|
| 61 |
### Framework versions
|