metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_english_to_nepali_tst
results: []
my_awesome_english_to_nepali_tst
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7758
- Bleu: 4.076
- Gen Len: 17.595
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 32 | 1.8790 | 3.86 | 17.665 |
| No log | 2.0 | 64 | 1.8311 | 4.0878 | 17.645 |
| No log | 3.0 | 96 | 1.8105 | 4.0976 | 17.615 |
| No log | 4.0 | 128 | 1.7988 | 4.1081 | 17.615 |
| No log | 5.0 | 160 | 1.7911 | 4.057 | 17.625 |
| No log | 6.0 | 192 | 1.7854 | 4.0552 | 17.61 |
| No log | 7.0 | 224 | 1.7812 | 4.0714 | 17.61 |
| No log | 8.0 | 256 | 1.7780 | 4.085 | 17.595 |
| No log | 9.0 | 288 | 1.7764 | 4.076 | 17.595 |
| No log | 10.0 | 320 | 1.7758 | 4.076 | 17.595 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2