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Llama2-jp-123M

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metadata
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
tags:
  - generated_from_trainer
model-index:
  - name: Llama2-jp-123M
    results: []

Llama2-jp-123M

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6296

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: 0.0005
  • train_batch_size: 156
  • eval_batch_size: 156
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
4.4744 0.04 1000 3.5915
3.4036 0.08 2000 3.2836
3.2088 0.12 3000 3.1575
3.1151 0.16 4000 3.0811
3.0471 0.2 5000 3.0247
3.0006 0.24 6000 2.9798
2.9581 0.28 7000 2.9409
2.9187 0.32 8000 2.9103
2.8899 0.36 9000 2.8805
2.8603 0.4 10000 2.8523
2.8329 0.44 11000 2.8259
2.8068 0.48 12000 2.8011
2.7825 0.52 13000 2.7782
2.7601 0.56 14000 2.7567
2.7384 0.6 15000 2.7362
2.7194 0.64 16000 2.7164
2.6986 0.68 17000 2.6973
2.683 0.72 18000 2.6810
2.667 0.76 19000 2.6664
2.6511 0.8 20000 2.6540
2.6421 0.84 21000 2.6441
2.6312 0.88 22000 2.6369
2.6286 0.92 23000 2.6322
2.6234 0.96 24000 2.6301
2.6216 1.0 25000 2.6296

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2