results

vinzur/results

results is a machine learning model from vinzur. 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: Oct 4, 2024
Updated: Oct 20, 2024
SHA: 07c77b5a

Model card

From the Hugging Face model README

results

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

Loss: 0.3230

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	63	0.3541
0.4108	2.0	126	0.3398
0.4108	3.0	189	0.3230
0.3148	4.0	252	0.3258
0.2871	5.0	315	0.3230
0.2871	6.0	378	0.3288
0.2468	7.0	441	0.3251
0.2274	8.0	504	0.3277
0.2274	9.0	567	0.3306
0.2103	10.0	630	0.3263
0.2103	11.0	693	0.3266
0.2094	12.0	756	0.3285

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 4, 2024
Updated: Oct 20, 2024