results

nlpllm007/results

results is a machine learning model from nlpllm007. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jun 16, 2024
Updated: Jun 16, 2024
SHA: 9b7cd08d

Base models

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9081

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.9289	0.32	10	3.2381
3.5665	0.64	20	2.7374
3.6622	0.96	30	2.4842
2.6751	1.28	40	2.2607
2.649	1.6	50	2.1196
2.3201	1.92	60	2.0067
2.2374	2.24	70	1.9490
2.1954	2.56	80	1.9210
2.3612	2.88	90	1.9081

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 16, 2024
Updated: Jun 16, 2024