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sanskrit-poetry-qwen3-5-27b-v7-sft-lora – AI Model by ascerfcefc | AlphaNeural AI
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ascerfcefc
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sanskrit-poetry-qwen3-5-27b-v7-sft-lora
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3.5-27B
apache-2.0
us
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sanskrit-poetry-qwen3-5-27b-v7-sft-lora
This model is a fine-tuned version of
Qwen/Qwen3.5-27B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8962
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: 8e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.03
training_steps: 120
Training results
Training Loss
Epoch
Step
Validation Loss
1.4992
0.2059
20
1.3950
1.0845
0.4118
40
1.0859
1.0115
0.6178
60
0.9797
0.9323
0.8237
80
0.9247
0.8748
1.0206
100
0.8996
0.8283
1.2265
120
0.8962
Framework versions
PEFT 0.19.1
Transformers 5.6.2
Pytorch 2.8.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
