Trelis/99-base-checkpoints-v9

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99-v9

This model is a fine-tuned version of Trelis/SmolLM-135M-Instruct-layer-pruned-90M-raw on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7495

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: 0.002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.005
• —lrschedulerwarmup_steps: 89
• —training_steps: 17894

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.1.1+cu121
• —Datasets 3.0.0
• —Tokenizers 0.19.1