pythia1b-rm-tldr6.9b

mnoukhov/pythia1b-rm-tldr6.9b

pythia1b-rm-tldr6.9b is a text classification model from mnoukhov. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: gpt_neox
Access: Public
Created: Jul 3, 2024
Updated: Jul 3, 2024
SHA: 4208682c

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Base models

mnoukhov/pythia1b-sft-tldr

Model card

From the Hugging Face model README

pythia1b-rm-tldr6.9b

This model is a fine-tuned version of mnoukhov/pythia1b-sft-tldr on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4685
Accuracy: 0.7693

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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5365	0.2006	291	0.5420	0.7271
0.4521	0.4011	582	0.5034	0.7485
0.3994	0.6017	873	0.4893	0.7577
0.3596	0.8022	1164	0.4685	0.7693

Framework versions

Transformers 4.41.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: gpt_neox
License: apache-2.0
Created: Jul 3, 2024
Updated: Jul 3, 2024