indictrans-en-ne-checkpoint

This model is a fine-tuned version of indictrans-en-ne-checkpoint/checkpoint-732 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 10.7601

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-05
• train_batch_size: 32
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 64
• total_train_batch_size: 2048
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
9.8002	0.8189	300	10.7568
9.734	1.6378	600	10.7586
9.7215	2.4567	900	10.7601

Framework versions

• Transformers 4.44.2
• Pytorch 2.2.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1