End of training

README.md

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+---
+base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
+tags:
+- generated_from_trainer
+model-index:
+- name: dfm_NC
+  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. -->
+
+# dfm_NC
+
+This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2386
+- F1-score: 0.9231
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 40   | 0.2541          | 0.9087   |
+| No log        | 2.0   | 80   | 0.2386          | 0.9231   |
+| No log        | 3.0   | 120  | 0.2399          | 0.9199   |
+| No log        | 4.0   | 160  | 0.3668          | 0.9093   |
+| No log        | 5.0   | 200  | 0.4189          | 0.9093   |
+| No log        | 6.0   | 240  | 0.6241          | 0.8760   |
+| No log        | 7.0   | 280  | 0.5370          | 0.9093   |
+| No log        | 8.0   | 320  | 0.6048          | 0.9025   |
+| No log        | 9.0   | 360  | 0.6588          | 0.8891   |
+| No log        | 10.0  | 400  | 0.5380          | 0.9093   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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