t5-large_cola_dense_epochs-7_decoder_all_sparsity10 – AI Model by thrunlab | AlphaNeural AI

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thrunlab/
t5-large_cola_dense_epochs-7_decoder_all_sparsity10

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text-classification

generated_from_trainer

google-t5/t5-large

autotrain_compatible

text-generation-inference

endpoints_compatible

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t5-large_cola_dense_epochs-7_decoder_all_sparsity10

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

Loss: 4.6969
Accuracy: 0.8380

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: 5e-05
train_batch_size: 64
eval_batch_size: 128
seed: 1
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5441	0.37	25	0.5813	0.6913
0.3969	0.75	50	0.5219	0.8044
0.3537	1.12	75	0.4713	0.8313
0.2905	1.49	100	0.6308	0.8150
0.3157	1.87	125	0.4301	0.8341
0.2208	2.24	150	2.3147	0.8332
0.2231	2.61	175	0.4612	0.8341
0.2404	2.99	200	1.5471	0.8265
0.1697	3.36	225	0.8701	0.8313
0.131	3.73	250	1.2642	0.8380
0.1219	4.1	275	0.9926	0.8370
0.2647	4.48	300	5.1919	0.8341
0.1329	4.85	325	2.2726	0.8418
0.0857	5.22	350	4.2193	0.8370
0.0989	5.6	375	5.3604	0.8389
0.2557	5.97	400	3.0246	0.8341
0.2617	6.34	425	5.6630	0.8456
0.2526	6.72	450	6.0474	0.8360

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.9.0
Tokenizers 0.14.1