metadata
base_model: ai4bharat/IndicBART
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 ai4bharat/IndicBART on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0
- Gen Len: 2.0
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 | 10.9086 | 1.3699 | 20.0 |
No log | 2.0 | 64 | 10.4023 | 1.7857 | 20.0 |
No log | 3.0 | 96 | 10.2752 | 1.7702 | 20.0 |
No log | 4.0 | 128 | 10.2502 | 1.7664 | 20.0 |
No log | 5.0 | 160 | 10.2474 | 1.7664 | 20.0 |
No log | 6.0 | 192 | 10.2469 | 1.7664 | 20.0 |
No log | 7.0 | 224 | 10.2469 | 1.7664 | 20.0 |
No log | 8.0 | 256 | 10.2468 | 1.7664 | 20.0 |
No log | 9.0 | 288 | 10.2469 | 1.7664 | 20.0 |
No log | 10.0 | 320 | nan | 0.0 | 2.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2