juancopi81/bach_sweeps_best_model

output

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

• Loss: 0.5751
• Accuracy: 0.0021

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: 0.0006058454513356471
• train_batch_size: 16
• eval_batch_size: 32
• seed: 1
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2205	1.25	315	0.8209	0.0010
0.813	2.51	630	0.7684	0.0009
0.7645	3.76	945	0.7393	0.0008
0.7249	5.02	1260	0.6980	0.0007
0.6832	6.27	1575	0.6646	0.0003
0.6426	7.53	1890	0.6371	0.0019
0.6034	8.78	2205	0.6041	0.0020
0.564	10.04	2520	0.5897	0.0018
0.5253	11.29	2835	0.5857	0.0018
0.4961	12.55	3150	0.5771	0.0017
0.4752	13.8	3465	0.5751	0.0021

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3