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translate_eng-nepali_fk

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2009
• eval_bleu: 21.3781
• eval_gen_len: 16.5486
• eval_runtime: 396.6353
• eval_samples_per_second: 89.42
• eval_steps_per_second: 2.796
• epoch: 2.0
• step: 8868

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: 15

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1