metadata

license: mit
base_model: EleutherAI/gpt-neo-125m
tags:
  - trl
  - sft
  - generated_from_trainer
  - pytorch
model-index:
  - name: gpt-neo-125M-tutor
    results: []
datasets:
  - Rohan1998/Tutor
language:
  - en
library_name: transformers
pipeline_tag: text-generation

gpt-neo-125M-tutor

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on an Rohan1998/Tutor.

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: 2.5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 1337
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.02
training_steps: 250

Training results

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1