humor_classification_mistral

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.5774

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.353	0.1923	10	1.1693
1.1391	0.3846	20	1.0883
1.0853	0.5769	30	1.0559
1.0487	0.7692	40	1.0024
0.8044	0.9615	50	0.6411
0.639	1.1538	60	0.6102
0.5972	1.3462	70	0.5955
0.584	1.5385	80	0.5854
0.5802	1.7308	90	0.5794
0.573	1.9231	100	0.5774

Framework versions

• PEFT 0.11.1
• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1