deqing / llama-600M-v4-isolate-old

huggingface.co
Total runs: 15
24-hour runs: 0
7-day runs: 1
30-day runs: 0
Model's Last Updated: March 09 2026
text-generation

Introduction of llama-600M-v4-isolate-old

Model Details of llama-600M-v4-isolate-old

llama-600M-v4-isolate

This model is a fine-tuned version of llama_600M_config.json on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7808
  • Num Input Tokens Seen: 9437184000
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: 0.0003
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 512
  • total_eval_batch_size: 64
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1
Training results
Framework versions
  • Transformers 5.1.0
  • Pytorch 2.8.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Runs of deqing llama-600M-v4-isolate-old on huggingface.co

15
Total runs
0
24-hour runs
2
3-day runs
1
7-day runs
0
30-day runs

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