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lltransformer-fwe – AI Model by mtzig | AlphaNeural AI
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mtzig
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lltransformer-fwe
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transformers
safetensors
LLTransformer
text-generation
generated_from_trainer
endpoints_compatible
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lltransformer-fwe
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 11.9037
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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 1234
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
95.3922
0.1860
3
11.9298
95.3294
0.3721
6
11.9184
95.1952
0.5581
9
11.9093
95.1862
0.7442
12
11.9053
95.0949
0.9302
15
11.9038
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.5.0
Tokenizers 0.21.1
