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MentalRoberta-GPT2_EmpAI_EOSbajo

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metadata
license: mit
base_model: openai-community/gpt2
tags:
  - generated_from_trainer
model-index:
  - name: MentalRoberta-GPT2_EmpAI_EOSbajo
    results: []

MentalRoberta-GPT2_EmpAI_EOSbajo

This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2970

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: 1e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 8000
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.3476 0.9999 5998 0.3400
0.2941 2.0 11997 0.3041
0.2917 2.9997 17994 0.2970

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1