PopularPenguin
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: t5-base
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tags:
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- generated_from_trainer
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datasets:
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- arrow
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model-index:
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- name: text-to-sparql-t5-base-2024-10-01_04-05
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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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# text-to-sparql-t5-base-2024-10-01_04-05
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the arrow dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1612
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- Gen Len: 19.0
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- Bertscorer-p: 0.6042
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- Bertscorer-r: 0.1007
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- Bertscorer-f1: 0.3406
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- Sacrebleu-score: 6.3972
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- Sacrebleu-precisions: [93.50202971813725, 87.89528553225993, 83.9093099978942, 81.08246812206387]
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- Bleu-bp: 0.0740
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:----------------------------------------------------------------------------:|:-------:|
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| 0.1434 | 1.0 | 4772 | 0.1290 | 19.0 | 0.5779 | 0.0743 | 0.3142 | 5.8962 | [92.35991566894258, 84.39366674829903, 78.94400227401933, 75.86961452759951] | 0.0713 |
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| 0.0942 | 2.0 | 9544 | 0.1177 | 19.0 | 0.5888 | 0.0849 | 0.3250 | 6.1087 | [92.5606800784706, 85.52426907082315, 80.69350019995765, 77.57006871168893] | 0.0728 |
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| 0.0653 | 3.0 | 14316 | 0.1173 | 19.0 | 0.6046 | 0.1056 | 0.3434 | 6.3214 | [93.2540100046867, 86.96274167420529, 82.274102896671, 78.77417998317914] | 0.0742 |
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| 0.0483 | 4.0 | 19088 | 0.1232 | 19.0 | 0.5986 | 0.0961 | 0.3355 | 6.2622 | [93.15494173500215, 86.84532601814729, 82.2615628114192, 79.1214879303522] | 0.0735 |
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| 0.0334 | 5.0 | 23860 | 0.1311 | 19.0 | 0.6023 | 0.0994 | 0.3390 | 6.3073 | [93.43068494727854, 87.49234763885077, 83.1708833292281, 80.1232645304334] | 0.0734 |
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| 0.0235 | 6.0 | 28632 | 0.1357 | 19.0 | 0.6001 | 0.0980 | 0.3372 | 6.3131 | [93.21137315406656, 87.16716210233382, 82.85332802379921, 79.83819964161484] | 0.0737 |
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| 0.0168 | 7.0 | 33404 | 0.1473 | 19.0 | 0.6041 | 0.1033 | 0.3419 | 6.4057 | [93.29664975783108, 87.43513246633191, 83.24213326488467, 80.18603064651553] | 0.0746 |
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| 0.0119 | 8.0 | 38176 | 0.1505 | 19.0 | 0.6012 | 0.0990 | 0.3382 | 6.3570 | [93.1113662456946, 87.19629610143632, 83.0426651081239, 80.06573325445343] | 0.0742 |
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| 0.0088 | 9.0 | 42948 | 0.1542 | 19.0 | 0.6055 | 0.1041 | 0.3430 | 6.4203 | [93.41891452713682, 87.77185624336455, 83.69605828507379, 80.74261780654649] | 0.0744 |
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| 0.0071 | 10.0 | 47720 | 0.1612 | 19.0 | 0.6042 | 0.1007 | 0.3406 | 6.3972 | [93.50202971813725, 87.89528553225993, 83.9093099978942, 81.08246812206387] | 0.0740 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.44.2"
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}
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runs/Oct01_04-07-52_92b1fabbbb3c/events.out.tfevents.1727755699.92b1fabbbb3c.30.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 32759
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