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fine-tuned-liv-model

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gpt_neo
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fine-tuned-liv-model / README.md
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metadata
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
  - generated_from_trainer
model-index:
  - name: fine-tuned-liv-model
    results: []

fine-tuned-liv-model

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 9.8165

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: 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: 3

Training results

Training Loss Epoch Step Validation Loss
No log 0.9362 11 10.4566
No log 1.9574 23 9.9796
No log 2.8085 33 9.8165

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.4.1+cu118
  • Datasets 3.0.1
  • Tokenizers 0.20.1