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telugu_colloquial_dataset – Dataset by ruby-0 | AlphaNeural AI
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telugu_colloquial_dataset
This model is a fine-tuned version of
unsloth/tinyllama-chat-bnb-4bit
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.1747
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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
6.344
0.8
2
7.5379
6.3794
1.4
4
7.5379
6.2252
2.0
6
7.5379
4.7958
2.8
8
7.3706
1.3834
3.4
10
4.3751
1.1045
4.0
12
5.1464
0.9427
4.8
14
4.9710
0.8191
5.4
16
4.5209
0.61
6.0
18
3.9120
0.5775
6.8
20
3.1747
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.1
Tokenizers 0.21.0
