File size: 2,824 Bytes
ce661e7 |
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 |
---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-fr
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2
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. -->
# opus-mt-en-fr_wmt14_En_Fr_1million_20epochs_v2
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7777
- Bleu: 0.0052
- Gen Len: 511.0
## 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: 0.002
- train_batch_size: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 2.0731 | 1.0 | 1667 | 4.9161 | 0.0 | 511.0 |
| 2.0281 | 2.0 | 3334 | 4.0396 | 0.0001 | 511.0 |
| 2.0226 | 3.0 | 5001 | 6.5526 | 0.0 | 511.0 |
| 1.9991 | 4.0 | 6668 | 4.6473 | 0.0001 | 511.0 |
| 1.991 | 5.0 | 8335 | 3.9736 | 0.0052 | 511.0 |
| 1.9749 | 6.0 | 10002 | 4.4897 | 0.0052 | 511.0 |
| 1.983 | 7.0 | 11669 | 5.7620 | 0.0052 | 511.0 |
| 1.9791 | 8.0 | 13336 | 5.9320 | 0.0 | 511.0 |
| 1.9494 | 9.0 | 15003 | 3.9506 | 0.0052 | 511.0 |
| 1.9482 | 10.0 | 16670 | 5.2391 | 0.0052 | 511.0 |
| 1.9328 | 11.0 | 18337 | 3.7053 | 0.0052 | 511.0 |
| 1.9201 | 12.0 | 20004 | 5.6524 | 0.0052 | 511.0 |
| 1.9242 | 13.0 | 21671 | 4.2519 | 0.0 | 511.0 |
| 1.9132 | 14.0 | 23338 | 6.6592 | 0.0052 | 511.0 |
| 1.9154 | 15.0 | 25005 | 6.1263 | 0.0052 | 511.0 |
| 1.9052 | 16.0 | 26672 | 7.1135 | 0.0052 | 511.0 |
| 1.9128 | 17.0 | 28339 | 6.1183 | 0.0 | 511.0 |
| 1.9015 | 18.0 | 30006 | 7.0262 | 0.0052 | 511.0 |
| 1.9025 | 19.0 | 31673 | 6.0193 | 0.0052 | 511.0 |
| 1.9015 | 20.0 | 33340 | 6.7777 | 0.0052 | 511.0 |
### Framework versions
- Transformers 4.32.1
- Pytorch 1.12.1
- Datasets 2.18.0
- Tokenizers 0.13.2
|