File size: 1,649 Bytes
7bd39f1 |
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 |
---
license: mit
base_model: sn4kebyt3/ru-bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bart-rebuilder
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. -->
# bart-rebuilder
This model is a fine-tuned version of [sn4kebyt3/ru-bart-large](https://huggingface.co/sn4kebyt3/ru-bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8215
- Bleu: 50.6678
- Chrf: 77.7388
- Gen Len: 23.5257
## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|
| 0.5679 | 1.0 | 6914 | 0.7178 | 45.1359 | 74.9569 | 23.4132 |
| 0.2277 | 2.0 | 13828 | 0.6731 | 49.1274 | 76.9144 | 23.4925 |
| 0.0424 | 3.0 | 20742 | 0.8215 | 50.6678 | 77.7388 | 23.5257 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
|