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End of training
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metadata
license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: Writer/palmyra-base
model-index:
  - name: content
    results: []

content

This model is a fine-tuned version of Writer/palmyra-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5572

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.9539 0.4 286 1.6457
1.6716 0.8 572 1.5941
1.8268 1.2 858 1.5702
1.63 1.6 1144 1.5590
1.8811 2.0 1430 1.5572

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.1
  • Pytorch 2.1.2
  • Datasets 2.16.0
  • Tokenizers 0.15.2