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: 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