Edit model card

Chitti-Base-model-for-GPT-v8

This model is a fine-tuned version of Dhahlan2000/Chitti-Base-model-for-GPT-v7 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9673
  • Bleu: 3.6022
  • Gen Len: 12.524

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
3.1567 1.0 9282 2.9746 3.6582 12.4893
3.1552 2.0 18564 2.9673 3.6022 12.524

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
6
Safetensors
Model size
60.5M params
Tensor type
F32
·
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.

Finetuned from