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Text Classification
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gpt_neox
trl
reward-trainer
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text-generation-inference
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metadata
license: apache-2.0
base_model: EleutherAI/pythia-160m
tags:
  - trl
  - reward-trainer
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: rm
    results: []

rm

This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6757
  • Accuracy: 0.5840

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: 3e-06
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6608 0.6410 100 0.6802 0.5656

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.19.1