t5_small_earning_conference_call_stats – AI Model by yangyida | AlphaNeural AI

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yangyida/
t5_small_earning_conference_call_stats

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5_small_earning_conference_call_stats

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

Loss: 1.0694
Rouge1: 0.6953
Rouge2: 0.5056
Rougel: 0.6725
Rougelsum: 0.6722
Gen Len: 11.2935

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: 0.005
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
1.607	1.0	569	1.2417	0.6614	0.467	0.6427	0.6427	11.6291
1.1119	2.0	1138	1.0879	0.6805	0.4875	0.6591	0.6592	11.2556
0.8388	3.0	1707	1.0345	0.6921	0.5015	0.6684	0.6679	11.3868
0.5961	4.0	2276	1.0694	0.6953	0.5056	0.6725	0.6722	11.2935

Framework versions

Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1