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bloom_ts2

This model is a fine-tuned version of bigscience/bloomz-560m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2988

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: 1.41e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
3.1299 0.9999 2219 2.625
2.6199 1.9998 4438 2.4199
3.3262 2.9997 6657 2.3418
2.4294 4.0 8877 2.3066
2.2871 4.9994 11095 2.2988

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.2
  • Pytorch 2.2.1
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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