metadata

base_model: csebuetnlp/mT5_m2o_hindi_crossSum
tags:
  - generated_from_trainer
model-index:
  - name: mT5_m2o_hindi_crossSum
    results: []

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