codemix-indicBART_L1_to_CM_candidates_acc4.7 – AI Model by prakod | AlphaNeural AI | AlphaNeural AI

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prakod/
codemix-indicBART_L1_to_CM_candidates_acc4.7

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text2text-generation

generated_from_trainer

ai4bharat/IndicBART

endpoints_compatible

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codemix-indicBART_L1_to_CM_candidates_acc4.7

This model is a fine-tuned version of ai4bharat/IndicBART on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2986
Bleu: 11.9231
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 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.7106	1.0	7546	3.3985	13.2137	21.0
3.2584	2.0	15092	2.8989	12.9778	20.992
2.9447	3.0	22638	2.5509	14.0866	21.0
2.7786	4.0	30184	2.3583	12.4674	21.0
2.7111	4.9994	37725	2.2986	11.9231	21.0

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1