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llm2vec-da-mntp

PEFT
Safetensors
llama
Generated from Trainer
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metadata
license: llama3
base_model: AI-Sweden-Models/Llama-3-8B-instruct
tags:
  - generated_from_trainer
metrics:
  - accuracy
library_name: peft
model-index:
  - name: llm2vec-da-mntp
    results: []

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: 6.3302
  • Accuracy: 0.1023

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 0.0005 2 6.9074 0.0706
No log 0.0010 4 6.3302 0.1023

Framework versions

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