flan-t5-xl-finetuning-translation-ds
This model is a fine-tuned version of google/flan-t5-xl on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7281
- Bleu: 39.0171
- Gen Len: 52.6438
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: 0.0001
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 768
- total_eval_batch_size: 768
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 13 | 0.8779 | 33.4548 | 52.8617 |
| No log | 2.0 | 26 | 0.7910 | 36.556 | 52.9883 |
| No log | 3.0 | 39 | 0.7281 | 39.0171 | 52.6438 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
google/flan-t5-xl