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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
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Model tree for jealk/llm2vec-da-mntp
Base model
meta-llama/Meta-Llama-3-8B
Finetuned
AI-Sweden-Models/Llama-3-8B
Finetuned
AI-Sweden-Models/Llama-3-8B-instruct