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test5_balanced_60ep

Zero-Shot Classification
Transformers
TensorBoard
Safetensors
roberta
text-classification
Generated from Trainer
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  1. README.md +117 -0
  2. logs/events.out.tfevents.1711616593.198e45d77d51.10518.0 +2 -2
  3. logs/events.out.tfevents.1711621675.198e45d77d51.10518.1 +3 -0
  4. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: ibaucells/RoBERTa-ca-CaWikiTC
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: test5_balanced_60ep
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+ results: []
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+ ---
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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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+
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+ # test5_balanced_60ep
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+
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+ This model is a fine-tuned version of [ibaucells/RoBERTa-ca-CaWikiTC](https://huggingface.co/ibaucells/RoBERTa-ca-CaWikiTC) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8209
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 60
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.8299 | 1.0 | 63 | 2.8361 |
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+ | 2.8512 | 2.0 | 126 | 2.8253 |
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+ | 2.8118 | 3.0 | 189 | 2.8376 |
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+ | 2.7238 | 4.0 | 252 | 2.7157 |
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+ | 2.5914 | 5.0 | 315 | 2.6045 |
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+ | 2.5527 | 6.0 | 378 | 2.5580 |
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+ | 2.4197 | 7.0 | 441 | 2.6009 |
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+ | 2.2561 | 8.0 | 504 | 2.3989 |
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+ | 1.9213 | 9.0 | 567 | 2.2129 |
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+ | 1.8147 | 10.0 | 630 | 2.1155 |
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+ | 1.4336 | 11.0 | 693 | 2.0509 |
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+ | 1.2948 | 12.0 | 756 | 1.8276 |
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+ | 0.9833 | 13.0 | 819 | 1.8245 |
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+ | 0.8577 | 14.0 | 882 | 1.7360 |
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+ | 0.665 | 15.0 | 945 | 1.8072 |
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+ | 0.5397 | 16.0 | 1008 | 1.8583 |
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+ | 0.2861 | 17.0 | 1071 | 1.9073 |
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+ | 0.3394 | 18.0 | 1134 | 2.0320 |
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+ | 0.2941 | 19.0 | 1197 | 2.1608 |
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+ | 0.1868 | 20.0 | 1260 | 2.1440 |
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+ | 0.175 | 21.0 | 1323 | 2.2099 |
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+ | 0.3357 | 22.0 | 1386 | 2.3903 |
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+ | 0.1311 | 23.0 | 1449 | 2.4006 |
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+ | 0.103 | 24.0 | 1512 | 2.4874 |
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+ | 0.1323 | 25.0 | 1575 | 2.5191 |
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+ | 0.0928 | 26.0 | 1638 | 2.3582 |
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+ | 0.0872 | 27.0 | 1701 | 2.4494 |
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+ | 0.1271 | 28.0 | 1764 | 2.5821 |
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+ | 0.1796 | 29.0 | 1827 | 2.6190 |
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+ | 0.0479 | 30.0 | 1890 | 2.5549 |
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+ | 0.0197 | 31.0 | 1953 | 2.8739 |
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+ | 0.0222 | 32.0 | 2016 | 2.7927 |
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+ | 0.019 | 33.0 | 2079 | 2.8467 |
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+ | 0.0946 | 34.0 | 2142 | 2.9086 |
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+ | 0.0084 | 35.0 | 2205 | 2.7976 |
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+ | 0.0539 | 36.0 | 2268 | 2.8300 |
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+ | 0.0553 | 37.0 | 2331 | 2.9293 |
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+ | 0.0124 | 38.0 | 2394 | 3.0047 |
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+ | 0.0447 | 39.0 | 2457 | 2.9724 |
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+ | 0.0363 | 40.0 | 2520 | 2.9775 |
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+ | 0.0056 | 41.0 | 2583 | 2.9972 |
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+ | 0.0072 | 42.0 | 2646 | 3.0162 |
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+ | 0.0091 | 43.0 | 2709 | 3.0348 |
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+ | 0.031 | 44.0 | 2772 | 3.0490 |
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+ | 0.0091 | 45.0 | 2835 | 3.0648 |
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+ | 0.029 | 46.0 | 2898 | 3.0730 |
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+ | 0.0076 | 47.0 | 2961 | 3.0866 |
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+ | 0.0115 | 48.0 | 3024 | 3.0979 |
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+ | 0.0047 | 49.0 | 3087 | 3.1102 |
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+ | 0.0079 | 50.0 | 3150 | 3.1242 |
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+ | 0.0039 | 51.0 | 3213 | 3.1299 |
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+ | 0.0043 | 52.0 | 3276 | 3.1386 |
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+ | 0.0322 | 53.0 | 3339 | 3.1478 |
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+ | 0.0041 | 54.0 | 3402 | 3.1478 |
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+ | 0.0289 | 55.0 | 3465 | 3.1570 |
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+ | 0.0038 | 56.0 | 3528 | 3.1661 |
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+ | 0.004 | 57.0 | 3591 | 3.1546 |
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+ | 0.0037 | 58.0 | 3654 | 3.1575 |
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+ | 0.0069 | 59.0 | 3717 | 3.1587 |
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+ | 0.0135 | 60.0 | 3780 | 3.1626 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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