my_awesome_model

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5640
• Accuracy: 0.7795

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.184	0.0770	100	0.9294	0.6612
0.8519	0.1540	200	0.8007	0.7087
0.7555	0.2309	300	0.7204	0.7245
0.7065	0.3079	400	0.7121	0.7324
0.6499	0.3849	500	0.6654	0.7567
0.6504	0.4619	600	0.6227	0.7659
0.6421	0.5389	700	0.6104	0.7695
0.6298	0.6159	800	0.6094	0.7652
0.5851	0.6928	900	0.5852	0.7795
0.5903	0.7698	1000	0.5759	0.7828
0.5682	0.8468	1100	0.5769	0.7758
0.5809	0.9238	1200	0.5640	0.7795

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1