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LawToken-7B-baseline – AI Model by amy011872 | AlphaNeural AI
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LawToken-7B-baseline
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transformers
safetensors
qwen2
text-generation
trl
sft
generated_from_trainer
conversational
generator
Qwen/Qwen2-7B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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LawToken-7B-baseline
This model is a fine-tuned version of
Qwen/Qwen2-7B
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.6543
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: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 8
total_eval_batch_size: 32
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
1.0922
0.13
10000
1.0421
0.8321
0.27
20000
0.9366
0.8339
0.4
30000
0.8672
0.7813
0.54
40000
0.8081
0.6781
0.67
50000
0.7532
0.7259
0.8
60000
0.6990
0.6767
0.94
70000
0.6543
Framework versions
Transformers 4.38.2
Pytorch 2.3.0a0+ebedce2
Datasets 2.19.1
Tokenizers 0.15.2
