distilbert-base-uncased-fibe-v9-finetuned

This model is a fine-tuned version of pilotj/distilbert-base-uncased-fibe-v8-finetuned on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8968

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 128
• 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
0.5704	0.0779	1000	1.0604
0.5614	0.1558	2000	1.1759
0.5481	0.2338	3000	1.0633
0.5417	0.3117	4000	1.0108
0.5257	0.3896	5000	0.9514
0.5106	0.4675	6000	0.9228
0.492	0.5455	7000	0.9493
0.5033	0.6234	8000	0.9060
0.4688	0.7013	9000	0.8691
0.483	0.7792	10000	0.8291
0.4679	0.8572	11000	0.8628
0.4368	0.9351	12000	0.8968

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 3.0.0
• Tokenizers 0.19.1