output

This model is a fine-tuned version of gpt2 on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 3.8303

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.25	250	4.8185
No log	0.5	500	4.3814
No log	0.75	750	4.1230
No log	1.0	1000	4.0088
No log	1.25	1250	3.9536
No log	1.5	1500	3.9208
No log	1.75	1750	3.8946
4.644	2.0	2000	3.8799
4.644	2.25	2250	3.8651
4.644	2.5	2500	3.8552
4.644	2.75	2750	3.8464
4.644	3.0	3000	3.8399
4.644	3.25	3250	3.8364
4.644	3.5	3500	3.8333
4.644	3.75	3750	3.8311
4.0742	4.0	4000	3.8303

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.1