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indictrans-en-ne-checkpoint-1B – AI Model by jefson08 | AlphaNeural AI
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indictrans-en-ne-checkpoint-1B
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transformers
tensorboard
safetensors
IndicTrans
text2text-generation
generated_from_trainer
custom_code
us
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indictrans-en-ne-checkpoint-1B
This model is a fine-tuned version of
indictrans-en-ne-checkpoint-1B/checkpoint-431
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1392
Bleu: 36.0128
Chrf: 60.1977
Num Input Tokens Seen: 196608000
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: 0.0002
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Chrf
Input Tokens Seen
0.1655
0.2897
1000
0.1563
32.3875
57.9890
65536000
0.1545
0.5795
2000
0.1433
35.2047
59.6328
131072000
0.1471
0.8692
3000
0.1392
36.0128
60.1977
196608000
Framework versions
Transformers 4.44.2
Pytorch 2.2.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
