parsed_csm_tool_model

raghavendramurali/parsed_csm_tool_model

parsed_csm_tool_model is a machine learning model from raghavendramurali. 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. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

281

Public

Repo size

484 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 12, 2023
Updated: Apr 12, 2023
SHA: 54119b3c

Model card

From the Hugging Face model README

parsed_csm_tool_model

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.5103
Rouge1: 0.0892
Rouge2: 0.0203
Rougel: 0.0696
Rougelsum: 0.0684
Gen Len: 18.375

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	37	4.7609	0.1106	0.017	0.0858	0.0853	18.75
No log	2.0	74	4.5920	0.083	0.017	0.0625	0.0613	18.625
No log	3.0	111	4.5263	0.0891	0.0203	0.0641	0.0632	18.625
No log	4.0	148	4.5103	0.0892	0.0203	0.0696	0.0684	18.375

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 12, 2023
Updated: Apr 12, 2023