opt6.7b

This model is a fine-tuned version of facebook/opt-6.7b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6760

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: 8
  • eval_batch_size: 8
  • seed: 1
  • optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
1.8948 1.0 538 1.8861
1.1137 2.0 1076 1.9893
0.5561 3.0 1614 2.2066
0.2579 4.0 2152 2.4634
0.1481 5.0 2690 2.6760

Framework versions

  • Transformers 5.14.1
  • Pytorch 2.13.0+cu130
  • Datasets 5.0.0
  • Tokenizers 0.22.2
Downloads last month
430
Safetensors
Model size
7B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for mphd1/opt6.7b-dolly

Finetuned
(8)
this model