test_t5_small_example_kaggle2
This model is a fine-tuned version of t5-small on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 1.5241
- Bleu: 6.1767
- Gen Len: 17.5553
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 |
|---|---|---|---|---|---|
| 1.7193 | 1.0 | 6355 | 1.5356 | 6.1325 | 17.5546 |
| 1.7261 | 2.0 | 12710 | 1.5241 | 6.1767 | 17.5553 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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Dataset used to train ethansimrm/test_t5_small_example_kaggle2
Evaluation results
- Bleu on opus_booksself-reported6.177
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/test_t5_small_example_kaggle2") model = AutoModelForMultimodalLM.from_pretrained("ethansimrm/test_t5_small_example_kaggle2")