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sft_smollm_diff_v2 – AI Model by rellabear | AlphaNeural AI | AlphaNeural AI
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sft_smollm_diff_v2
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transformers
safetensors
llama
text-generation
trl
sft
generated_from_trainer
conversational
generator
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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sft_smollm_diff_v2
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.7209
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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Use 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: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.8048
0.9998
3181
1.7209
Framework versions
Transformers 4.46.0
Pytorch 2.1.2+cu121
Datasets 3.1.0
Tokenizers 0.20.3
