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DramaSR-LRM – AI Model by 198808xc | AlphaNeural AI
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198808xc
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DramaSR-LRM
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transformers
safetensors
llama-factory
full
generated_from_trainer
other
endpoints_compatible
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Model card
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SFT_outputs
This model is a fine-tuned version of
/opt/huawei/explorer-env/checkpoint/longvideo_data/DramaSR_cleaned/assets/Qwen3-8B
on the sft_training_data dataset. It achieves the following results on the evaluation set:
Loss: 1.1952
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-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 8
optimizer: Use 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_ratio: 0.1
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.2071
1.0
96
1.1540
1.1484
2.0
192
1.1297
1.0432
3.0
288
1.1359
0.967
4.0
384
1.1620
0.9125
5.0
480
1.1952
Framework versions
Transformers 4.52.4
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1
