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gpt-neo-125m

Text Generation
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gpt_neo
Generated from Trainer
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gpt-neo-125m / 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: gpt-neo-125m
    results: []

gpt-neo-125m

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: 1.5085

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
2.7252 1.0 8233 2.3500
2.3376 2.0 16466 1.9826
2.0286 3.0 24699 1.6798
1.6443 4.0 32932 1.5085

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.2.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3