metadata
library_name: transformers
base_model: ai4bharat/IndicBART
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: codemix-hi_enhi_4.9
results: []
codemix-hi_enhi_4.9
This model is a fine-tuned version of ai4bharat/IndicBART on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2521
- Bleu: 13.7335
- Gen Len: 21.0
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 6.727 | 1.0 | 502 | 5.7717 | 14.2205 | 21.0 |
| 5.8574 | 2.0 | 1004 | 4.9952 | 13.5376 | 21.0 |
| 5.3236 | 3.0 | 1506 | 4.5598 | 13.2111 | 21.0 |
| 5.0169 | 4.0 | 2008 | 4.3247 | 13.0997 | 21.0 |
| 4.8705 | 5.0 | 2510 | 4.2521 | 13.7335 | 21.0 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2