tiny-mlm-glue-sst2-target-glue-mrpc

This model is a fine-tuned version of muhtasham/tiny-mlm-glue-sst2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9829
• Accuracy: 0.7230
• F1: 0.8028

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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5847	4.35	500	0.5543	0.7304	0.8232
0.4449	8.7	1000	0.5747	0.7426	0.8276
0.3094	13.04	1500	0.6549	0.7377	0.8220
0.1984	17.39	2000	0.7591	0.7426	0.8253
0.1197	21.74	2500	0.9829	0.7230	0.8028

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu116
• Datasets 2.8.1.dev0
• Tokenizers 0.13.2