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jd8-jsft8 – AI Model by stojchet | AlphaNeural AI
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stojchet
/
jd8-jsft8
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transformers
safetensors
llama
text-generation
trl
sft
generated_from_trainer
generator
stojchet/jd8
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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jd8-jsft8
This model is a fine-tuned version of
stojchet/jd8
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.1947
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.0685
2.56
100
1.1947
Framework versions
Transformers 4.43.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1
