billm_conll2003_mistralai-Mistral-7B-v0.1_ckpt

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the conll2003 dataset. It achieves the following results on the evaluation set:

• Loss: 9.2812
• Precision: 0.0625
• Recall: 0.25
• F1: 0.1
• Accuracy: 0.2222

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: 0.0001
• 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
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	2	9.8438	0.0606	0.25	0.0976	0.2
No log	2.0	4	9.2812	0.0625	0.25	0.1	0.2222

Framework versions

• Transformers 4.40.1
• Pytorch 2.0.0+cu117
• Datasets 2.15.0
• Tokenizers 0.19.1

Training procedure

Framework versions

• PEFT 0.6.2