File size: 2,121 Bytes
befd954 60ed88a befd954 60ed88a befd954 |
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 |
---
base_model: IAmSkyDra/BARTBana_v4
library_name: transformers
license: mit
metrics:
- sacrebleu
tags:
- generated_from_trainer
model-index:
- name: BARTBana_Translation_Replace_v0
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. -->
# BARTBana_Translation_Replace_v0
This model is a fine-tuned version of [IAmSkyDra/BARTBana_v4](https://huggingface.co/IAmSkyDra/BARTBana_v4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0029
- Sacrebleu: 20.9762
## 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.0673 | 1.0 | 5881 | 0.0335 | 17.7815 |
| 0.0401 | 2.0 | 11762 | 0.0124 | 19.8597 |
| 0.0218 | 3.0 | 17643 | 0.0067 | 20.5145 |
| 0.0141 | 4.0 | 23524 | 0.0046 | 20.7775 |
| 0.0096 | 5.0 | 29405 | 0.0039 | 20.8673 |
| 0.007 | 6.0 | 35286 | 0.0035 | 20.9294 |
| 0.0051 | 7.0 | 41167 | 0.0032 | 20.9362 |
| 0.0043 | 8.0 | 47048 | 0.0031 | 20.9635 |
| 0.0032 | 9.0 | 52929 | 0.0030 | 20.9887 |
| 0.0028 | 10.0 | 58810 | 0.0029 | 20.9762 |
### Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
|