mT5_m2o_hindi_crossSum
This model is a fine-tuned version of csebuetnlp/mT5_m2o_hindi_crossSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2619
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3978 | 0.4 | 500 | 1.3409 |
| 1.4257 | 0.8 | 1000 | 1.2619 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for RaiRachit/mT5_m2o_hindi_crossSum
Base model
csebuetnlp/mT5_m2o_hindi_crossSum