opt-1.3b-finetuned-rte

This model is a fine-tuned version of facebook/opt-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7779
• Accuracy: 0.4477

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: 2e-05
• 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.7844	0.4765
No log	2.0	2	0.7837	0.4801
No log	3.0	3	0.7822	0.4910
No log	4.0	4	0.7828	0.4838
No log	5.0	5	0.7828	0.4838
No log	6.0	6	0.7822	0.4838
No log	7.0	7	0.7820	0.4801
No log	8.0	8	0.7817	0.4838
No log	9.0	9	0.7814	0.4874
No log	10.0	10	0.7815	0.4874

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1