---
license: apache-2.0
datasets:
- nirajandhakal/Mahabharata-HHGTTG-Text
language:
- en
- ne
metrics:
- accuracy
tags:
- word-lstm
- PyTorch
- LSTM
---


## Model Type:

Word LSTM


## Dataset Used:

[Mahabharata-HHGTTG-Text](https://huggingface.co/datasets/nirajandhakal/Mahabharata-HHGTTG-Text)


## Accuracy Score:



Epoch 1: Train Loss=6.3144, Val Loss=6.2408, Train Acc=0.0783, Val Acc=0.0786

Epoch 2: Train Loss=6.1643, Val Loss=5.7447, Train Acc=0.0869, Val Acc=0.1387

Epoch 3: Train Loss=5.2669, Val Loss=4.9505, Train Acc=0.1835, Val Acc=0.2157

Epoch 4: Train Loss=4.6935, Val Loss=4.7041, Train Acc=0.2291, Val Acc=0.2411

Epoch 5: Train Loss=4.3577, Val Loss=4.5889, Train Acc=0.2505, Val Acc=0.2542

Epoch 6: Train Loss=4.1002, Val Loss=4.5632, Train Acc=0.2639, Val Acc=0.2616

Epoch 7: Train Loss=3.8865, Val Loss=4.5903, Train Acc=0.2751, Val Acc=0.2651

Epoch 8: Train Loss=3.7002, Val Loss=4.6680, Train Acc=0.2864, Val Acc=0.2686

Epoch 9: Train Loss=3.5370, Val Loss=4.7425, Train Acc=0.2969, Val Acc=0.2683

Epoch 10: Train Loss=3.3925, Val Loss=4.8263, Train Acc=0.3082, Val Acc=0.2688