parsed_csm_tool_model – AI Model by raghavendramurali | AlphaNeural AI

You can deploy this model and start earning money today!

raghavendramurali/
parsed_csm_tool_model

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

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