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SmolLM-14m-Dolma-v0.1-Zloss-full – AI Model by Cambridge-KAIST | AlphaNeural AI

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Cambridge-KAIST/
SmolLM-14m-Dolma-v0.1-Zloss-full

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text-generation

generated_from_trainer

allenai/OLMo-7B-0724-hf

autotrain_compatible

text-generation-inference

endpoints_compatible

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SmolLM-14m-Dolma-v0.1-Zloss-v1.0

This model is a fine-tuned version of allenai/OLMo-7B-0724-hf on the pico-lm/pretokenized-dolma dataset.

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: 0.003
train_batch_size: 512
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 2048
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: warmup_stable_decay
lr_scheduler_warmup_steps: 1000
num_epochs: 1

Training results

Framework versions

Transformers 4.46.3
Pytorch 2.4.1
Datasets 3.2.0
Tokenizers 0.20.3