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metadata
license: apache-2.0
base_model: PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T
tags:
  - generated_from_trainer
model-index:
  - name: out
    results: []

Built with Axolotl

out

This model is a fine-tuned version of PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2355

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: 0.0002
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 8
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.4654 0.0 1 3.5326
1.2162 0.05 1503 1.9335
1.1918 0.1 3006 1.7391
1.4188 0.15 4509 1.7574
1.8281 0.2 6012 1.6704
0.8639 0.25 7515 1.7459
1.3764 0.3 9018 1.6832
2.1172 0.35 10521 1.6398
1.1855 0.4 12024 1.6007
1.5604 0.45 13527 1.5256
1.0224 0.5 15030 1.4891
1.5582 0.55 16533 1.4903
0.9489 0.6 18036 1.4179
1.67 0.65 19539 1.4585
0.8542 0.7 21042 1.3810
1.5301 0.75 22545 1.3645
0.951 0.8 24048 1.3087
1.1791 0.85 25551 1.3018
1.3342 0.9 27054 1.2595
1.1221 0.95 28557 1.2355

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.14.1