metadata

license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: t5_small_twitter
    results: []

t5_small_twitter

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: 0.4976
Accuracy: 0.7445
F1 Macro: 0.6956
F1 Micro: 0.7445

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: 0.0005
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Micro
0.4779	0.18	50	0.5151	0.7564	0.7177	0.7564
0.5123	0.37	100	0.5060	0.7528	0.6987	0.7528
0.4617	0.55	150	0.5287	0.7270	0.6149	0.7270
0.4942	0.74	200	0.4976	0.7445	0.6956	0.7445
0.4783	0.92	250	0.4978	0.7574	0.7124	0.7574
0.4369	1.1	300	0.5052	0.7601	0.7124	0.7601
0.439	1.29	350	0.5092	0.7564	0.7224	0.7564
0.4417	1.47	400	0.5228	0.7546	0.6808	0.7546
0.47	1.65	450	0.5087	0.7693	0.7235	0.7693
0.4415	1.84	500	0.5106	0.7647	0.7262	0.7647
0.4297	2.02	550	0.5023	0.7629	0.7291	0.7629
0.4366	2.21	600	0.5225	0.7555	0.7127	0.7555
0.3623	2.39	650	0.5226	0.7583	0.7157	0.7583
0.3337	2.57	700	0.5313	0.7574	0.7144	0.7574
0.4158	2.76	750	0.5385	0.7601	0.7211	0.7601
0.4003	2.94	800	0.5350	0.7546	0.7058	0.7546

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2