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sft_output – AI Model by kfffjddsk | AlphaNeural AI
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sft_output
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transformers
safetensors
llama
text-generation
smol-course
module_1
trl
sft
generated_from_trainer
HuggingFaceTB/SmolLM2-135M
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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sft_output
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-135M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0921
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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_steps: 50
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.0064
0.9982
282
1.0333
0.6518
2.0
565
1.0248
0.3694
2.9947
846
1.0921
Framework versions
Transformers 4.46.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.20.3
