metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: my_awesome_opus_books_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus100
type: opus100
config: en-tr
split: test
args: en-tr
metrics:
- name: Bleu
type: bleu
value: 1.5169
my_awesome_opus_books_model
This model is a fine-tuned version of t5-small on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 4.2940
- Bleu: 1.5169
- Gen Len: 15.8275
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 |
---|---|---|---|---|---|
No log | 1.0 | 100 | 4.3740 | 1.9164 | 14.9975 |
No log | 2.0 | 200 | 4.2940 | 1.5169 | 15.8275 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0