YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Quantization made by Richard Erkhov.

Github

Discord

Request more models

gpt-neo-2.7B-lama - bnb 8bits

Original model description:

license: mit tags: - generated_from_trainer base_model: EleutherAI/gpt-neo-2.7B model-index: - name: gpt-neo-2.7B-lama results: []

gpt-neo-2.7B-lama

This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6771

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: 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: 3.0

Training results

Training Loss Epoch Step Validation Loss
2.6301 1.0 841 2.5411
2.0065 2.0 1682 2.5612
1.577 3.0 2523 2.6771

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.1
  • Datasets 2.12.0
  • Tokenizers 0.15.1
Downloads last month
3
Safetensors
Model size
2.65B params
Tensor type
F32
FP16
I8
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.