problem2-test

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

• Loss: 4.2281
• Accuracy: 0.5574

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.9	7	6.2748	0.0
7.4671	1.9	14	5.1777	0.5738
5.3033	2.9	21	4.4616	0.5902
5.3033	3.9	28	5.1811	0.5246
4.1105	4.9	35	4.2281	0.5574

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1
• Datasets 2.6.0
• Tokenizers 0.13.1