LLM_course_EncDec_model_summarization – AI Model by Valencio | AlphaNeural AI

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LLM_course_EncDec_model_summarization

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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LLM_course_EncDec_model_summarization

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

Loss: 2.4887
Rouge1: 0.1487
Rouge2: 0.0572
Rougel: 0.1252
Rougelsum: 0.1254
Gen Len: 19.0

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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	62	2.6119	0.1359	0.0452	0.1141	0.1141	19.0
No log	2.0	124	2.5336	0.1424	0.0531	0.1197	0.1201	19.0
No log	3.0	186	2.4987	0.1484	0.0576	0.1259	0.126	19.0
No log	4.0	248	2.4887	0.1487	0.0572	0.1252	0.1254	19.0

Framework versions

Transformers 5.10.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2