llm2vec-da-mntp

This model is a fine-tuned version of AI-Sweden-Models/Llama-3-8B-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8092
• Accuracy: 0.8176

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.0626	250	1.4498	0.7011
1.7757	0.1252	500	1.1587	0.7524
1.7757	0.1878	750	1.0504	0.7711
1.0486	0.2504	1000	0.9868	0.7832
1.0486	0.3130	1250	0.9451	0.7912
0.9401	0.3757	1500	0.9140	0.7969
0.9401	0.4383	1750	0.8904	0.8020
0.8842	0.5009	2000	0.8662	0.8071
0.8842	0.5635	2250	0.8535	0.8086
0.8473	0.6261	2500	0.8301	0.8134
0.8473	0.6887	2750	0.8179	0.8158
0.8188	0.7513	3000	0.8092	0.8176

Framework versions

• PEFT 0.13.2
• Transformers 4.40.2
• Pytorch 2.5.1+cu124
• Datasets 2.19.2
• Tokenizers 0.19.1