Adanato / llama32_1b_instruct_bert_baseline-bert_cluster_2

huggingface.co
Total runs: 19
24-hour runs: 0
7-day runs: -1
30-day runs: 14
Model's Last Updated: February 16 2026
text-generation

Introduction of llama32_1b_instruct_bert_baseline-bert_cluster_2

Model Details of llama32_1b_instruct_bert_baseline-bert_cluster_2

Llama-3.2-1B-Instruct_e1_bert_cluster_2

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the bert_cluster_2 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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • total_eval_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_ratio: 0.1
  • num_epochs: 1.0
Training results
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Runs of Adanato llama32_1b_instruct_bert_baseline-bert_cluster_2 on huggingface.co

19
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
14
30-day runs

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llama32_1b_instruct_bert_baseline-bert_cluster_2 install

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