update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- generated_from_trainer
|
| 4 |
+
metrics:
|
| 5 |
+
- bleu
|
| 6 |
+
model-index:
|
| 7 |
+
- name: es_fi_all_quy
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# es_fi_all_quy
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [nouman-10/es_fi_all_quy](https://huggingface.co/nouman-10/es_fi_all_quy) on the None dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.4779
|
| 19 |
+
- Bleu: 1.6745
|
| 20 |
+
- Chrf: 32.4462
|
| 21 |
+
- Gen Len: 42.4789
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 2e-05
|
| 41 |
+
- train_batch_size: 16
|
| 42 |
+
- eval_batch_size: 16
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- num_epochs: 20
|
| 47 |
+
- mixed_precision_training: Native AMP
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
|
| 52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|
|
| 53 |
+
| 0.2977 | 0.09 | 1000 | 0.4895 | 1.4944 | 31.8832 | 41.2596 |
|
| 54 |
+
| 0.2977 | 0.17 | 2000 | 0.4870 | 1.3779 | 31.419 | 44.5825 |
|
| 55 |
+
| 0.2851 | 0.26 | 3000 | 0.4849 | 1.1958 | 30.8243 | 48.3773 |
|
| 56 |
+
| 0.2829 | 0.34 | 4000 | 0.4828 | 1.7102 | 31.6821 | 43.6841 |
|
| 57 |
+
| 0.2881 | 0.43 | 5000 | 0.4822 | 1.8438 | 32.6924 | 39.0855 |
|
| 58 |
+
| 0.2847 | 0.51 | 6000 | 0.4796 | 1.2714 | 31.2343 | 49.8511 |
|
| 59 |
+
| 0.2812 | 0.6 | 7000 | 0.4799 | 1.7161 | 32.2005 | 46.3149 |
|
| 60 |
+
| 0.2753 | 0.68 | 8000 | 0.4790 | 1.2392 | 32.7687 | 40.1841 |
|
| 61 |
+
| 0.282 | 0.77 | 9000 | 0.4804 | 1.3175 | 32.1637 | 41.4537 |
|
| 62 |
+
| 0.2743 | 0.85 | 10000 | 0.4784 | 1.4782 | 32.5727 | 42.0936 |
|
| 63 |
+
| 0.2719 | 0.94 | 11000 | 0.4781 | 1.5137 | 31.9548 | 44.4477 |
|
| 64 |
+
| 0.2668 | 1.02 | 12000 | 0.4797 | 1.1151 | 31.5602 | 43.9336 |
|
| 65 |
+
| 0.2638 | 1.11 | 13000 | 0.4779 | 1.6745 | 32.4462 | 42.4789 |
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
### Framework versions
|
| 69 |
+
|
| 70 |
+
- Transformers 4.28.1
|
| 71 |
+
- Pytorch 2.0.0+cu117
|
| 72 |
+
- Datasets 2.11.0
|
| 73 |
+
- Tokenizers 0.13.3
|