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LawToken-1.5B-a2 – AI Model by amy011872 | AlphaNeural AI
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LawToken-1.5B-a2
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transformers
safetensors
qwen2
text-generation
trl
sft
generated_from_trainer
conversational
generator
Qwen/Qwen2-1.5B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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LawToken-1.5B-a2
This model is a fine-tuned version of
Qwen/Qwen2-1.5B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.7890
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.9326
0.28
10000
0.9843
0.8644
0.56
20000
0.8726
0.7873
0.85
30000
0.7890
Framework versions
Transformers 4.38.2
Pytorch 2.3.0a0+ebedce2
Datasets 2.19.1
Tokenizers 0.15.2