File size: 1,754 Bytes
e602c03 |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emea
metrics:
- bleu
model-index:
- name: t5_small_prelim_emea_enfr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: emea
type: emea
config: en-fr
split: train
args: en-fr
metrics:
- name: Bleu
type: bleu
value: 20.0981
---
<!-- 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. -->
# t5_small_prelim_emea_enfr
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the emea dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6699
- Bleu: 20.0981
- Gen Len: 14.0674
## 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: 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: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 0.8083 | 1.0 | 54629 | 0.6994 | 19.6965 | 14.0689 |
| 0.7941 | 2.0 | 109258 | 0.6699 | 20.0981 | 14.0674 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
|