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slm-125m-master-english-tutor – AI Model by VehaanS | AlphaNeural AI
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slm-125m-master-english-tutor
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transformers
safetensors
llama
text-generation
generated_from_trainer
HuggingFaceTB/SmolLM2-135M
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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slm-125m-master-english-tutor
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: 0.9152
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: 2.5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 292
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.9355
1.0
3247
0.9183
0.9194
2.0
6494
0.9149
0.9078
3.0
9741
0.9152
Framework versions
Transformers 5.15.1
Pytorch 2.8.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2
