File size: 2,968 Bytes
f4e197e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 |
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: Helsinki-NLP/opus-mt-en-ar
metrics:
- bleu
model-index:
- name: finetuned_helsinki_peft_model__en_to_ar
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_helsinki_peft_model__en_to_ar
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7775
- Bleu: 27.1364
- Gen Len: 13.5265
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 3.0607 | 0.2 | 500 | 1.8457 | 26.8804 | 13.4975 |
| 2.7235 | 0.4 | 1000 | 1.8179 | 26.9476 | 13.5825 |
| 2.7011 | 0.6 | 1500 | 1.8063 | 26.8946 | 13.632 |
| 2.641 | 0.8 | 2000 | 1.7996 | 27.0619 | 13.613 |
| 2.7115 | 1.0 | 2500 | 1.7959 | 26.9972 | 13.616 |
| 2.694 | 1.2 | 3000 | 1.7931 | 27.0648 | 13.587 |
| 2.6653 | 1.4 | 3500 | 1.7906 | 27.058 | 13.5555 |
| 2.6602 | 1.6 | 4000 | 1.7882 | 26.9729 | 13.5755 |
| 2.6234 | 1.8 | 4500 | 1.7838 | 27.0022 | 13.566 |
| 2.5851 | 2.0 | 5000 | 1.7827 | 26.9623 | 13.561 |
| 2.5532 | 2.2 | 5500 | 1.7811 | 27.1004 | 13.5305 |
| 2.6314 | 2.4 | 6000 | 1.7800 | 26.9216 | 13.4905 |
| 2.6261 | 2.6 | 6500 | 1.7792 | 26.9747 | 13.52 |
| 2.6228 | 2.8 | 7000 | 1.7787 | 26.9506 | 13.529 |
| 2.7118 | 3.0 | 7500 | 1.7781 | 26.9363 | 13.5615 |
| 2.6205 | 3.2 | 8000 | 1.7777 | 27.0652 | 13.555 |
| 2.5799 | 3.4 | 8500 | 1.7775 | 27.0987 | 13.5325 |
| 2.6044 | 3.6 | 9000 | 1.7776 | 27.1322 | 13.5225 |
| 2.6391 | 3.8 | 9500 | 1.7775 | 27.1541 | 13.5285 |
| 2.6589 | 4.0 | 10000 | 1.7775 | 27.1364 | 13.5265 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1 |