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t5-small-finetuned-TEC-to-eng-one
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2059
- Bleu: 42.2748
- Gen Len: 13.766
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: 0.001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 2 | 1.7347 | 29.1089 | 12.5745 |
| No log | 2.0 | 4 | 1.4924 | 33.7353 | 13.1489 |
| No log | 3.0 | 6 | 1.3949 | 34.2666 | 13.7447 |
| No log | 4.0 | 8 | 1.3358 | 37.4856 | 13.6383 |
| No log | 5.0 | 10 | 1.2643 | 39.6756 | 13.766 |
| No log | 6.0 | 12 | 1.2218 | 41.268 | 13.7234 |
| No log | 7.0 | 14 | 1.2059 | 42.2748 | 13.766 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
