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--- |
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license: apache-2.0 |
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base_model: sentence-transformers/all-MiniLM-L6-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: all-MiniLM-L6-v2-finetuned-marc-en |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# all-MiniLM-L6-v2-finetuned-marc-en |
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This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8379 |
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- Mae: 2.1394 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mae | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.9203 | 1.0 | 250 | 1.8916 | 2.2446 | |
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| 1.8419 | 2.0 | 500 | 1.8713 | 2.2371 | |
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| 1.8385 | 3.0 | 750 | 1.8523 | 2.1957 | |
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| 1.8256 | 4.0 | 1000 | 1.8422 | 2.1584 | |
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| 1.7618 | 5.0 | 1250 | 1.8339 | 2.1625 | |
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| 1.8025 | 6.0 | 1500 | 1.8326 | 2.1564 | |
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| 1.7414 | 7.0 | 1750 | 1.8329 | 2.1629 | |
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| 1.7539 | 8.0 | 2000 | 1.8322 | 2.173 | |
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| 1.7886 | 9.0 | 2250 | 1.8290 | 2.16 | |
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| 1.7611 | 10.0 | 2500 | 1.8292 | 2.1456 | |
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| 1.7339 | 11.0 | 2750 | 1.8324 | 2.1566 | |
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| 1.7093 | 12.0 | 3000 | 1.8366 | 2.1406 | |
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| 1.7164 | 13.0 | 3250 | 1.8371 | 2.1391 | |
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| 1.6847 | 14.0 | 3500 | 1.8389 | 2.139 | |
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| 1.7202 | 15.0 | 3750 | 1.8379 | 2.1394 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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