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Qwen3.5-0.8B-IE_fewrel_AND_RAMS-GRAFT – AI Model by kamizane | AlphaNeural AI
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Qwen3.5-0.8B-IE_fewrel_AND_RAMS-GRAFT
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
Qwen/Qwen3.5-0.8B
apache-2.0
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Qwen3.5-0.8B-IE_fewrel_AND_RAMS-GRAFT
This model is a fine-tuned version of
Qwen/Qwen3.5-0.8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2691
Graft/constrained Ratio: 0.5172
Graft/constrained Tokens: 12302.0
Graft/fallback Samples: 246.0
Graft/standard Fallback Samples: 0.0
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 14
gradient_accumulation_steps: 6
total_train_batch_size: 6
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.03
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Ratio
Tokens
Samples
Fallback Samples
1.8167
1.6676
200
0.2089
0.4230
1415.0
43.0
0.0
0.6061
3.3338
400
0.2633
0.4230
1415.0
43.0
0.0
0.6061
4.0
480
0.2691
0.5172
12302.0
246.0
0.0
Framework versions
PEFT 0.19.1
Transformers 5.14.1
Pytorch 2.11.0+cu128
Datasets 4.1.1
Tokenizers 0.22.2
