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model_050-wanna_100-subjex – AI Model by bbunzeck | AlphaNeural AI
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model_050-wanna_100-subjex
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transformers
safetensors
llama
text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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model_050-wanna_100-subjex
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0680
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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
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: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.0884
1.0
1480
2.0785
2.0422
2.0
2960
2.0680
Framework versions
Transformers 5.12.1
Pytorch 2.12.1+cu130
Datasets 5.0.0
Tokenizers 0.22.2
