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README.md

@@ -1,3 +1,63 @@
----
-license: cc-by-sa-4.0
----
+---
+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: 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