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Librarian Bot: Update dataset YAML metadata for model (#1)
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metadata
license: bigscience-bloom-rail-1.0
tags:
  - generated_from_trainer
datasets: cmotions/Beatles_lyrics
widget:
  - text: Last night I couldn't sleep
    example_title: Sleep
  - text: It hasn't rained in weeks
    example_title: Rain
model-index:
  - name: BLOOM-350m-Beatles-Lyrics-finetuned-newlyrics
    results: []

BLOOM-350m-Beatles-Lyrics-finetuned-newlyrics

This model is a fine-tuned version of bigscience/bloom-350m on the Cmotions - Beatles lyrics dataset. It will complete an input prompt with Beatles-like text.

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
3.1135 1.0 138 3.4852
2.0717 2.0 276 3.8820
1.3296 3.0 414 3.6281
0.8146 4.0 552 3.8985
0.477 5.0 690 4.0317

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1