Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
amy011872_-_LawToken-1.5B-baseline-awq – AI Model by RichardErkhov | AlphaNeural AI
You can deploy this model and start earning money today!
RichardErkhov
/
amy011872_-_LawToken-1.5B-baseline-awq
like
0
safetensors
qwen2
4-bit
awq
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Quantization made by Richard Erkhov.
Github
Discord
Request more models
LawToken-1.5B-baseline - AWQ
Model creator:
https://huggingface.co/amy011872/
Original model:
https://huggingface.co/amy011872/LawToken-1.5B-baseline/
Original model description:
license: apache-2.0 base_model: Qwen/Qwen2-1.5B tags:
trl
sft
generated_from_trainer datasets:
generator model-index:
name: LawToken-1.5B-baseline results: []
LawToken-1.5B-baseline
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: 0.7613
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
0.9956
0.27
10000
0.9392
0.8306
0.54
20000
0.8382
0.7346
0.8
30000
0.7613
Framework versions
Transformers 4.38.2
Pytorch 2.3.0a0+ebedce2
Datasets 2.19.1
Tokenizers 0.15.2