Trelis/99-base-checkpoints-v10

99-v10-base

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

• Loss: 0.9658

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: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.01
• lr_scheduler_warmup_steps: 19
• training_steps: 1951

Training results

Training Loss	Epoch	Step	Validation Loss
0.7232	0.1999	390	0.6950
0.7878	0.3998	780	0.7088
0.5667	0.5997	1170	0.5514
0.5358	0.7996	1560	0.7882
0.4758	0.9995	1950	0.9658

Framework versions

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