results

This model is a fine-tuned version of vinzur/results on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3230

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: 1e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	63	0.3541
0.4108	2.0	126	0.3398
0.4108	3.0	189	0.3230
0.3148	4.0	252	0.3258
0.2871	5.0	315	0.3230
0.2871	6.0	378	0.3288
0.2468	7.0	441	0.3251
0.2274	8.0	504	0.3277
0.2274	9.0	567	0.3306
0.2103	10.0	630	0.3263
0.2103	11.0	693	0.3266
0.2094	12.0	756	0.3285

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1