| | --- |
| | 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: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # llm2vec-da-mntp |
| |
|
| | This model is a fine-tuned version of [AI-Sweden-Models/Llama-3-8B-instruct](https://huggingface.co/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 |
