Org_chatbot / README.md
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metadata
license: apache-2.0
base_model: distilgpt2
tags:
  - generated_from_trainer
model-index:
  - name: Org_chatbot
    results: []

Org_chatbot

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6316

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: 2e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 1 7.4193
No log 2.0 2 7.0622
No log 3.0 3 6.7202
No log 4.0 4 6.3895
No log 5.0 5 6.0718
No log 6.0 6 5.7655
No log 7.0 7 5.4711
No log 8.0 8 5.1901
No log 9.0 9 4.9214
No log 10.0 10 4.6651
No log 11.0 11 4.4218
No log 12.0 12 4.1939
No log 13.0 13 3.9800
No log 14.0 14 3.7787
No log 15.0 15 3.5910
No log 16.0 16 3.4189
No log 17.0 17 3.2627
No log 18.0 18 3.1232
No log 19.0 19 3.0005
No log 20.0 20 2.8953
No log 21.0 21 2.8081
No log 22.0 22 2.7376
No log 23.0 23 2.6847
No log 24.0 24 2.6493
No log 25.0 25 2.6316

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1