sft-trl-claim

Tverous/sft-trl-claim

sft-trl-claim is a text generation model from Tverous. Use it when you need the model to write or continue 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. --

Downloads · 30 days

5% of all-time downloads

All-time downloads

286

Public

Repo size

48.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin24.2 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: apache-2.0
Model type: gptj
Access: Public
Created: Jul 25, 2023
Updated: Jul 25, 2023
SHA: 7b7c2a2d

Try a prompt

Datasets

anli

Model card

From the Hugging Face model README

sft-trl-claim

This model is a fine-tuned version of EleutherAI/gpt-j-6b on the anli dataset. It achieves the following results on the evaluation set:

Loss: 0.6558

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: 5e-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
lr_scheduler_warmup_steps: 100
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.1758	0.2	1000	1.8749
0.9782	0.4	2000	1.4891
0.7268	0.6	3000	1.0777
0.7882	0.8	4000	0.7661
0.316	1.0	5000	0.7215
0.2962	1.2	6000	0.7067
0.2318	1.4	7000	0.6914
0.3424	1.6	8000	0.6558
0.216	1.8	9000	0.6558
0.1732	2.0	10000	0.6558
0.1178	2.2	11000	0.6558
0.202	2.4	12000	0.6558
0.1088	2.6	13000	0.6558
0.1408	2.8	14000	0.6558
0.1856	3.0	15000	0.6558

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Generation
Library: transformers
Type: gptj
License: apache-2.0
Created: Jul 25, 2023
Updated: Jul 25, 2023