Edit model card

DialoGPT-large-faqs-block-size128-bs-16

This model is a fine-tuned version of microsoft/DialoGPT-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5086

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: 7e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 40 2.4979
No log 2.0 80 2.2314
No log 3.0 120 2.2409
No log 4.0 160 2.4555
No log 5.0 200 2.7390
No log 6.0 240 2.9258
No log 7.0 280 3.0355
No log 8.0 320 3.1368
No log 9.0 360 3.2088
No log 10.0 400 3.2541
No log 11.0 440 3.3225
No log 12.0 480 3.3775
0.7809 13.0 520 3.4102
0.7809 14.0 560 3.4456
0.7809 15.0 600 3.4707
0.7809 16.0 640 3.4786
0.7809 17.0 680 3.4868
0.7809 18.0 720 3.5035
0.7809 19.0 760 3.5015
0.7809 20.0 800 3.5086

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4.dev0
  • Tokenizers 0.13.3
Downloads last month
12
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for DrishtiSharma/DialoGPT-large-faqs-block-size128-bs-16

Finetuned
(20)
this model