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End of training
Browse files- README.md +75 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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model-index:
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- name: german-english-binary-ner-roberta-base-30-final
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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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# german-english-binary-ner-roberta-base-30-final
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1571
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- Precision: 0.7113
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- Recall: 0.8042
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- F1: 0.7549
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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: 32
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- eval_batch_size: 32
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| No log | 2.36 | 250 | 0.0813 | 0.6063 | 0.7778 | 0.6814 |
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| 0.0606 | 4.72 | 500 | 0.0871 | 0.6745 | 0.8290 | 0.7438 |
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| 0.0606 | 7.08 | 750 | 0.1051 | 0.7218 | 0.7746 | 0.7473 |
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| 0.0099 | 9.43 | 1000 | 0.1103 | 0.7428 | 0.7628 | 0.7527 |
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| 0.0099 | 11.79 | 1250 | 0.1156 | 0.7349 | 0.7843 | 0.7588 |
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| 0.0037 | 14.15 | 1500 | 0.1200 | 0.7323 | 0.7881 | 0.7592 |
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| 0.0037 | 16.51 | 1750 | 0.1415 | 0.7139 | 0.7977 | 0.7535 |
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| 0.0018 | 18.87 | 2000 | 0.1339 | 0.7218 | 0.7880 | 0.7534 |
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| 0.0018 | 21.23 | 2250 | 0.1423 | 0.7533 | 0.7820 | 0.7674 |
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| 0.001 | 23.58 | 2500 | 0.1506 | 0.7192 | 0.7806 | 0.7486 |
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| 0.001 | 25.94 | 2750 | 0.1521 | 0.7165 | 0.8077 | 0.7594 |
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| 0.0006 | 28.3 | 3000 | 0.1571 | 0.7113 | 0.8042 | 0.7549 |
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### Framework versions
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- Transformers 4.36.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1109842416
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version https://git-lfs.github.com/spec/v1
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oid sha256:31edccf5c10c99be35c30dffb2c45391351d99b2d18dc2987c703dfb6ffab076
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size 1109842416
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